Text-to-Speech
LiteRT
LiteRT
ONNX
Core ML
PyTorch
tts
singing
singing-voice-synthesis
multilingual
expressive-tts
duration-flow
Instructions to use spybyscript/scyllasband with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use spybyscript/scyllasband with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Scylla's Band v3-20261104
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- README.md +11 -39
- SHA256SUMS.json +97 -381
- coreai/assets/fixed_references.json +0 -0
- coreai/assets/g2p/export_config.json +0 -33
- coreai/assets/g2p/language_map.json +0 -47
- coreai/assets/g2p/normalization.json +0 -40
- coreai/assets/g2p/phoneme_dict.json +0 -9
- coreai/assets/g2p/pronunciation_overrides.json +0 -4
- coreai/assets/g2p/tokenizer.json +0 -517
- coreai/assets/languages.json +0 -30
- coreai/assets/phone_vocab.json +0 -111
- coreai/assets/voices.json +0 -58
- coreai/coreai/duration_predictor.aimodel/main.hash +0 -1
- coreai/coreai/duration_predictor.aimodel/main.mlirb +0 -3
- coreai/coreai/duration_predictor.aimodel/metadata.json +0 -5
- coreai/coreai/g2p.aimodel/main.hash +0 -1
- coreai/coreai/g2p.aimodel/main.mlirb +0 -3
- coreai/coreai/g2p.aimodel/metadata.json +0 -5
- coreai/coreai/pitch_context_encoder.aimodel/main.hash +0 -1
- coreai/coreai/pitch_context_encoder.aimodel/main.mlirb +0 -3
- coreai/coreai/pitch_context_encoder.aimodel/metadata.json +0 -5
- coreai/coreai/pitch_estimator.aimodel/main.hash +0 -1
- coreai/coreai/pitch_estimator.aimodel/main.mlirb +0 -3
- coreai/coreai/pitch_estimator.aimodel/metadata.json +0 -5
- coreai/coreai/vector_context_encoder.aimodel/main.hash +0 -1
- coreai/coreai/vector_context_encoder.aimodel/main.mlirb +0 -3
- coreai/coreai/vector_context_encoder.aimodel/metadata.json +0 -5
- coreai/coreai/vector_estimator.aimodel/main.hash +0 -1
- coreai/coreai/vector_estimator.aimodel/main.mlirb +0 -3
- coreai/coreai/vector_estimator.aimodel/metadata.json +0 -5
- coreai/coreai/vocoder.aimodel/main.hash +0 -0
- coreai/coreai/vocoder.aimodel/main.mlirb +0 -3
- coreai/coreai/vocoder.aimodel/metadata.json +0 -5
- coreai/manifest.json +0 -1483
- coreml/assets/fixed_references.json +0 -0
- coreml/assets/g2p/export_config.json +0 -33
- coreml/assets/g2p/language_map.json +0 -47
- coreml/assets/g2p/normalization.json +0 -40
- coreml/assets/g2p/phoneme_dict.json +0 -9
- coreml/assets/g2p/pronunciation_overrides.json +0 -4
- coreml/assets/g2p/tokenizer.json +0 -517
- coreml/assets/languages.json +0 -30
- coreml/assets/phone_vocab.json +0 -111
- coreml/assets/voices.json +0 -58
- coreml/coreml/duration_predictor.mlmodelc/analytics/coremldata.bin +0 -3
- coreml/coreml/duration_predictor.mlmodelc/coremldata.bin +0 -3
- coreml/coreml/duration_predictor.mlmodelc/model.mil +0 -0
- coreml/coreml/duration_predictor.mlmodelc/weights/weight.bin +0 -3
- coreml/coreml/g2p.mlmodelc/analytics/coremldata.bin +0 -3
- coreml/coreml/g2p.mlmodelc/coremldata.bin +0 -3
README.md
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language: [en, es, it, fr, de, vi]
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library_name: litert
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pipeline_tag: text-to-speech
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tags: [text-to-speech, tts, litert, onnx,
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---
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# Scylla's Band v3
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Release **`v3-
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Delivery is controlled with **intensity, pace and pitch**, each from −2 to 2 with 0 as the voice's own delivery. The emotion comes from the text; intensity sets how much the voice puts into it.
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-o hello.wav "It is a pleasure to meet you."
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```
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## Controls
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| Vector model | Hidden size 512; 12 layers; adaptive layer normalization and QK normalization; reads the pitch contour |
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| Maximum graph phones per sentence | 512 |
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| Trained target length | 64–420 latent frames (about 1.4–9 s) per pass |
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| Sampler | Flow: Euler, 4 steps. Pitch predictor:
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| Voice conditioning | Fixed per-voice/per-locale identity and prosody references embedded in the graphs |
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| Text frontend | Trained Scylla's Band G2P with its matched tokenizer and vocabulary |
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For each passage the pitch predictor integrates a pitch and voicing contour from noise, the pitch control shifts it, and the flow generates the latents along it (graph input `expanded_melody`, [1, frames, 3]). Each passage draws its pitch noise ([2, frames]) and then its latent noise ([24, frames]) from the request's seed.
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The flow
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Long text is spoken as passages within the trained target lengths (64 to 420 latent frames, about 1.4 to 9 seconds): a short first passage so audio starts quickly, then passages as long as the text allows, cut at a sentence end, else a clause, else between words, and measured with the requested delivery. Each passage sees the surrounding text as context and continues from the acoustics of the one before it, and consecutive passages are decoded as one continuous waveform. Durations are predicted deterministically; different controls can alter them.
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## Performance
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Measured with the default samplers (flow: Euler, 4 steps; pitch predictor: Heun, 8 steps) through the native runtime: `scyllasband_speak` from [libscyllasband](https://github.com/lowkeytea/scyllasband/tree/main/libscyllasband) on the Mac and Android, and the [iOS sample](https://github.com/lowkeytea/scyllasband/tree/main/examples/ios)'s benchmark mode on the iPhone. The text is three sentences, 10.3 s of audio: "The last train leaves at midnight, so pack light. Bring a warm coat, and don't forget the map. If we miss it, we walk, and nobody wants to walk that far in the rain." (voice Scylla, seed 7, the voice's own delivery).
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- **First run**: from launch to first audio on the first launch after installing the bundle. Core ML compiles and Core AI specializes the graphs for the device then (Core AI caches them until the next OS update); LiteRT writes its packed weights to a cache file beside each graph.
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- **Cold start**: from launch to first audio on a later launch, including loading the bundle.
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- **Warm first audio**: from a request to its first audio in a process that has already spoken (median of three requests).
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- **Real-time speed**: seconds of audio generated per second when warm, rounded.
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| Device | Bundle | Compute | First run | Cold start | Warm first audio | Real-time speed |
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| --- | --- | --- | --- | --- | --- | --- |
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| MacBook Pro, M5 Max (macOS 27) | Core ML | GPU (default) | 2.67 s | 1.39 s | 54 ms | ~97× |
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| | Core ML | CPU | 2.31 s | 0.43 s | 330 ms | ~12× |
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| | Core AI | GPU (default) | 6.01 s | 0.51 s | 57 ms | ~88× |
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| | Core AI | Neural Engine | 35.8 s | 0.62 s | 363 ms | ~16× |
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| | Core AI | CPU | 3.98 s | 1.32 s | 1239 ms | ~3.2× |
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| | LiteRT | CPU | 0.83 s | 0.39 s | 181 ms | ~20× |
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| | ONNX Runtime | CPU | 1.36 s | 1.00 s | 343 ms | ~13× |
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| iPhone 17 Pro Max (iOS 27.0.1) | Core ML | GPU (default) | 16.3 s | 1.76 s | 113 ms | ~42× |
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| | Core ML | CPU | 3.15 s | 0.67 s | 449 ms | ~9× |
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| | Core AI | GPU (default) | 19.0 s | 0.65 s | 109 ms | ~42× |
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| | Core AI | Neural Engine | 7.65 s | 0.75 s | 418 ms | ~14× |
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| | Core AI | CPU | 8.40 s | 1.76 s | 1555 ms | ~2.5× |
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| Galaxy Z Fold 8, Snapdragon SM8850 (Android 17) | LiteRT | CPU | 1.02 s | 0.56 s | 203 ms | ~16× |
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| | ONNX Runtime | CPU | 1.99 s | 1.99 s | 701 ms | ~5.9× |
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The GPU is the default on Apple platforms. The Neural Engine placement runs the flow and the pitch predictor on the Neural Engine and the other graphs on the CPU, for apps that speak in the background, where iOS does not allow GPU work. Core ML reloads its graphs on every launch, which accounts for most of its cold start on the GPU. Each passage runs the pitch predictor 16 times before the flow's 4 steps.
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## Voices and language coverage
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Fourteen voices: Ariadne, Felix, Gwen, Ink, Kincade, Max, Orpheus, Poppy, Priya, Rex, Scylla, Stone, Thistle, Tuesday.
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## Artifacts
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- `coreai/` (178 MB): Core AI bundle for apps on iOS, iPadOS and visionOS 27 (`.aimodel` assets); it also runs on macOS 27, where the runtime uses the Core ML bundle by default. INT8 weights per output channel with FP16 compute; latent buckets of 128, 256, 384, 512, 768 and 1024 frames are functions of one asset sharing weights. The flow and the pitch predictor also run accurately on the Neural Engine (`controls.coreai.neural_engine_assets`), which is the placement for apps that speak in the background; the GPU is the default.
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- `coreml/` (163 MB): Core ML bundle for Apple silicon with iOS 18 / visionOS 2 / macOS 15 and later (compiled `.mlmodelc` assets), with INT8 weights and FP16 compute; GPU by default, CPU in background apps.
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- `litert/` (229 MB): LiteRT bundle for Linux, Windows, Android and Intel Macs. Dynamic-range INT8 weights on the fully connected, convolution and embedding layers; the vocoder's depthwise convolutions stay in full precision, which keeps them on XNNPACK. Each size is a signature of one model file, sharing weights: latent buckets every 64 frames up to 512 (then 768 and 1024), flow graphs without the 96 prefix frames for a request's first passage (up to 448 frames), and narrower duration, span-context and pitch-context (128 and 256 phones) and G2P (32–256 tokens) widths beside the full ones.
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- `onnx/` (291 MB): ONNX Runtime bundle with dynamic INT8 weights in the duration, context, pitch and flow transformers; the vocoder stays in full precision. Latent buckets of 128, 256, 384, 512, 768 and 1024 frames share one weight file.
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- `webgpu/` (291 MB): ONNX Runtime bundle for ONNX Runtime Web's WebGPU backend. Transformer weights are INT8 with float compute (`MatMulNBits`), which runs entirely on the GPU; the vocoder stays in full precision.
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Release validation separates graph accuracy, frontend/timing behaviour and perceived speech quality:
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- The full-precision ONNX bundle run through the runtime against the PyTorch model, end to end with all three controls: identical durations, and latents within
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- The C++ runtime against the Python runtime on the same bundle: identical G2P output, phone durations and passage plan; latents within
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- The distilled flow at 4 Euler steps compared with the undistilled flow by listening on paired lines across the voices, and by ASR word error rate and a MOS predictor on a 168-clip sweep of all fourteen voices in English, French and Spanish.
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- Every LiteRT graph gives identical output with and without XNNPACK's weight cache.
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- Core ML and Core AI bundles compared with the PyTorch model on every graph and through the runtime on 14 passages (every voice, each control at both limits, six languages, narration), on each compute unit they are used with (GPU, CPU, and for Core AI the Neural Engine): identical phonemes, fewer changed phone durations than the LiteRT bundle (0.2–0.7 % against 1.9 %), and smaller pitch-contour (0.02–0.04 semitones RMS against 0.045), latent and spectral differences. The Apple exports rewrite three computations into equivalent forms that FP16 and the Neural Engine evaluate exactly (span pooling, the modifier bit decoding, the duration model's combined phone/segment index), and scale the residual stream of the flow and the pitch predictor; in FP32 the rewritten graphs match the trained ones (identical outputs; the span encoders within 1e-6).
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Listening is decisive; automatic scores support it. Training audio is not distributed.
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language: [en, es, it, fr, de, vi]
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library_name: litert
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pipeline_tag: text-to-speech
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tags: [text-to-speech, tts, litert, onnx, pytorch, multilingual, expressive-tts, duration-flow]
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---
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# Scylla's Band v3
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Release **`v3-20261104`**. The [Scylla's Band runtime](https://github.com/lowkeytea/scyllasband) supports this release from version 3.0.0. The manifest declares graph contract `scyllasband_measured_controls_v3`; runtimes written for v2 releases cannot run these graphs and keep downloading their v2 tags.
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This release follows `v3-20261103` with a distilled pitch predictor: it makes 4 network passes per passage instead of 16, and the other models are unchanged.
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Delivery is controlled with **intensity, pace and pitch**, each from −2 to 2 with 0 as the voice's own delivery. The emotion comes from the text; intensity sets how much the voice puts into it.
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-o hello.wav "It is a pleasure to meet you."
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```
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`--flavor litert` or `--flavor onnx` chooses the bundle, installed under `scyllasband/models/<bundle>`. Downloads pin a release tag.
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## Controls
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| Vector model | Hidden size 512; 12 layers; adaptive layer normalization and QK normalization; reads the pitch contour |
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| Maximum graph phones per sentence | 512 |
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| Trained target length | 64–420 latent frames (about 1.4–9 s) per pass |
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| Sampler | Flow: Euler, 4 steps. Pitch predictor: Euler, 4 steps |
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| Voice conditioning | Fixed per-voice/per-locale identity and prosody references embedded in the graphs |
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| Text frontend | Trained Scylla's Band G2P with its matched tokenizer and vocabulary |
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For each passage the pitch predictor integrates a pitch and voicing contour from noise, the pitch control shifts it, and the flow generates the latents along it (graph input `expanded_melody`, [1, frames, 3]). Each passage draws its pitch noise ([2, frames]) and then its latent noise ([24, frames]) from the request's seed.
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The flow and the pitch predictor are distilled for few-step sampling: each was trained to reproduce its base model's 32-step Heun output, so Euler with 4 steps, four evaluations of each model per passage, is the default for both.
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Long text is spoken as passages within the trained target lengths (64 to 420 latent frames, about 1.4 to 9 seconds): a short first passage so audio starts quickly, then passages as long as the text allows, cut at a sentence end, else a clause, else between words, and measured with the requested delivery. Each passage sees the surrounding text as context and continues from the acoustics of the one before it, and consecutive passages are decoded as one continuous waveform. Durations are predicted deterministically; different controls can alter them.
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## Voices and language coverage
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Fourteen voices: Ariadne, Felix, Gwen, Ink, Kincade, Max, Orpheus, Poppy, Priya, Rex, Scylla, Stone, Thistle, Tuesday.
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## Artifacts
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- `litert/` (229 MB): LiteRT bundle for Linux, Windows, Android and Intel Macs. Dynamic-range INT8 weights on the fully connected, convolution and embedding layers; the vocoder's depthwise convolutions stay in full precision, which keeps them on XNNPACK. Each size is a signature of one model file, sharing weights: latent buckets every 64 frames up to 512 (then 768 and 1024), flow graphs without the 96 prefix frames for a request's first passage (up to 448 frames), and narrower duration, span-context and pitch-context (128 and 256 phones) and G2P (32–256 tokens) widths beside the full ones.
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- `onnx/` (291 MB): ONNX Runtime bundle with dynamic INT8 weights in the duration, context, pitch and flow transformers; the vocoder stays in full precision. Latent buckets of 128, 256, 384, 512, 768 and 1024 frames share one weight file.
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- `webgpu/` (291 MB): ONNX Runtime bundle for ONNX Runtime Web's WebGPU backend. Transformer weights are INT8 with float compute (`MatMulNBits`), which runs entirely on the GPU; the vocoder stays in full precision.
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Release validation separates graph accuracy, frontend/timing behaviour and perceived speech quality:
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- The full-precision ONNX bundle run through the runtime against the PyTorch model, end to end with all three controls: identical durations, and latents within 8e-5 (values of magnitude 16–28).
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- The C++ runtime against the Python runtime on the same bundle: identical G2P output, phone durations and passage plan; latents within 2e-5 relative error; decoded audio at 46 dB SNR (worst sentence) and 55 dB over a long passage.
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- The distilled flow at 4 Euler steps compared with the undistilled flow by listening on paired lines across the voices, and by ASR word error rate and a MOS predictor on a 168-clip sweep of all fourteen voices in English, French and Spanish.
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- The distilled pitch predictor at 4 Euler steps compared with the undistilled predictor at 8 Heun steps (release `v3-20261103`) by blind listening on paired lines across the voices and languages, and on the same 168-clip sweep: ASR word error rate 0.062 for both, and a MOS-predictor score 0.12 higher.
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- Quantized bundles compared with full precision through the runtime on lines covering every voice, each control at its limits and each language. The WebGPU bundle reproduces the full-precision take (identical frame counts on 15 of 17 lines, 0.7 dB median mel-cepstral distance). Dynamic INT8 moves some phone durations by a frame, which redraws a passage's noise and gives a different take, so the ONNX and LiteRT bundles are judged on the same sweep: ASR word error rate 0.063 (ONNX) and 0.062 (LiteRT) against 0.062 for full precision, and a MOS-predictor score within 0.02 of full precision for both.
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- Every LiteRT graph gives identical output with and without XNNPACK's weight cache.
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Listening is decisive; automatic scores support it. Training audio is not distributed.
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coreai/assets/g2p/normalization.json
DELETED
|
@@ -1,40 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"contract": {
|
| 3 |
-
"colon_semicolon_classes": "preserved",
|
| 4 |
-
"dot_runs_two_or_more": "ellipsis_three_dots",
|
| 5 |
-
"homogeneous_terminal_runs": "single_mark",
|
| 6 |
-
"lexical_hyphen": "space_no_pause",
|
| 7 |
-
"mixed_question_exclamation": "leading_mark",
|
| 8 |
-
"non_acoustic_modifiers": [
|
| 9 |
-
"stress",
|
| 10 |
-
"length",
|
| 11 |
-
"unicode_combining"
|
| 12 |
-
],
|
| 13 |
-
"ok_spoken_form": "okay",
|
| 14 |
-
"punctuation_silence_target": "explicit_silence",
|
| 15 |
-
"syntactic_dash": "em_dash_pause",
|
| 16 |
-
"training_phone_source": "espeak",
|
| 17 |
-
"version": "scyllasband_spoken_text_v2_2026_08_05"
|
| 18 |
-
},
|
| 19 |
-
"contract_sha256": "d8fd1b2415d0d100d1c70237a4469117ee6b73d0e4da703e4654c83192779cc4",
|
| 20 |
-
"contract_version": "scyllasband_spoken_text_v2_2026_08_05",
|
| 21 |
-
"expand_currency": true,
|
| 22 |
-
"expand_dates": true,
|
| 23 |
-
"expand_numbers": true,
|
| 24 |
-
"expand_ordinals": true,
|
| 25 |
-
"expand_percentages": true,
|
| 26 |
-
"expand_times": true,
|
| 27 |
-
"languages": [
|
| 28 |
-
"en",
|
| 29 |
-
"en_us",
|
| 30 |
-
"en_gb",
|
| 31 |
-
"es",
|
| 32 |
-
"it",
|
| 33 |
-
"fr",
|
| 34 |
-
"de",
|
| 35 |
-
"vi"
|
| 36 |
-
],
|
| 37 |
-
"normalize_at_sign": true,
|
| 38 |
-
"normalize_punctuation": true,
|
| 39 |
-
"normalizer": "SpokenTextNormalizer"
|
| 40 |
-
}
|
|
|
|
|
|
|
|
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|
|
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coreai/assets/g2p/phoneme_dict.json
DELETED
|
@@ -1,9 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"de": {},
|
| 3 |
-
"en_gb": {},
|
| 4 |
-
"en_us": {},
|
| 5 |
-
"es": {},
|
| 6 |
-
"fr": {},
|
| 7 |
-
"it": {},
|
| 8 |
-
"vi": {}
|
| 9 |
-
}
|
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
coreai/assets/g2p/pronunciation_overrides.json
DELETED
|
@@ -1,4 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"format": "scyllasband_g2p_pronunciation_overrides_v1",
|
| 3 |
-
"languages": {}
|
| 4 |
-
}
|
|
|
|
|
|
|
|
|
|
|
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|
|
coreai/assets/g2p/tokenizer.json
DELETED
|
@@ -1,517 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"format": "deepphonemizer_forward_ctc",
|
| 3 |
-
"languages": [
|
| 4 |
-
"de",
|
| 5 |
-
"en_gb",
|
| 6 |
-
"en_us",
|
| 7 |
-
"es",
|
| 8 |
-
"fr",
|
| 9 |
-
"it",
|
| 10 |
-
"vi"
|
| 11 |
-
],
|
| 12 |
-
"char_repeats": 4,
|
| 13 |
-
"lowercase": true,
|
| 14 |
-
"phoneme_token_mode": "char",
|
| 15 |
-
"text_symbols": {
|
| 16 |
-
"_": 0,
|
| 17 |
-
"<de>": 1,
|
| 18 |
-
"<en_gb>": 2,
|
| 19 |
-
"<en_us>": 3,
|
| 20 |
-
"<es>": 4,
|
| 21 |
-
"<fr>": 5,
|
| 22 |
-
"<it>": 6,
|
| 23 |
-
"<vi>": 7,
|
| 24 |
-
"<end>": 8,
|
| 25 |
-
"\b": 9,
|
| 26 |
-
" ": 10,
|
| 27 |
-
"!": 11,
|
| 28 |
-
"\"": 12,
|
| 29 |
-
"#": 13,
|
| 30 |
-
"$": 14,
|
| 31 |
-
"%": 15,
|
| 32 |
-
"&": 16,
|
| 33 |
-
"'": 17,
|
| 34 |
-
"(": 18,
|
| 35 |
-
")": 19,
|
| 36 |
-
"*": 20,
|
| 37 |
-
"+": 21,
|
| 38 |
-
",": 22,
|
| 39 |
-
"-": 23,
|
| 40 |
-
".": 24,
|
| 41 |
-
"/": 25,
|
| 42 |
-
"0": 26,
|
| 43 |
-
"1": 27,
|
| 44 |
-
"2": 28,
|
| 45 |
-
"3": 29,
|
| 46 |
-
"4": 30,
|
| 47 |
-
"5": 31,
|
| 48 |
-
"6": 32,
|
| 49 |
-
"7": 33,
|
| 50 |
-
"8": 34,
|
| 51 |
-
"9": 35,
|
| 52 |
-
":": 36,
|
| 53 |
-
";": 37,
|
| 54 |
-
"<": 38,
|
| 55 |
-
"=": 39,
|
| 56 |
-
">": 40,
|
| 57 |
-
"?": 41,
|
| 58 |
-
"@": 42,
|
| 59 |
-
"A": 43,
|
| 60 |
-
"B": 44,
|
| 61 |
-
"C": 45,
|
| 62 |
-
"D": 46,
|
| 63 |
-
"E": 47,
|
| 64 |
-
"F": 48,
|
| 65 |
-
"G": 49,
|
| 66 |
-
"H": 50,
|
| 67 |
-
"I": 51,
|
| 68 |
-
"J": 52,
|
| 69 |
-
"K": 53,
|
| 70 |
-
"L": 54,
|
| 71 |
-
"M": 55,
|
| 72 |
-
"N": 56,
|
| 73 |
-
"O": 57,
|
| 74 |
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"P": 58,
|
| 75 |
-
"Q": 59,
|
| 76 |
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"R": 60,
|
| 77 |
-
"S": 61,
|
| 78 |
-
"T": 62,
|
| 79 |
-
"U": 63,
|
| 80 |
-
"V": 64,
|
| 81 |
-
"W": 65,
|
| 82 |
-
"X": 66,
|
| 83 |
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"Y": 67,
|
| 84 |
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"Z": 68,
|
| 85 |
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"[": 69,
|
| 86 |
-
"\\": 70,
|
| 87 |
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"]": 71,
|
| 88 |
-
"^": 72,
|
| 89 |
-
"`": 73,
|
| 90 |
-
"a": 74,
|
| 91 |
-
"b": 75,
|
| 92 |
-
"c": 76,
|
| 93 |
-
"d": 77,
|
| 94 |
-
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|
| 95 |
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"f": 79,
|
| 96 |
-
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|
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"h": 81,
|
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"i": 82,
|
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|
| 100 |
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"k": 84,
|
| 101 |
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"l": 85,
|
| 102 |
-
"m": 86,
|
| 103 |
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"n": 87,
|
| 104 |
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"o": 88,
|
| 105 |
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"p": 89,
|
| 106 |
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"q": 90,
|
| 107 |
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"r": 91,
|
| 108 |
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"s": 92,
|
| 109 |
-
"t": 93,
|
| 110 |
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"u": 94,
|
| 111 |
-
"v": 95,
|
| 112 |
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"w": 96,
|
| 113 |
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"x": 97,
|
| 114 |
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"y": 98,
|
| 115 |
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"z": 99,
|
| 116 |
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"{": 100,
|
| 117 |
-
"|": 101,
|
| 118 |
-
"}": 102,
|
| 119 |
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"~": 103,
|
| 120 |
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"¡": 104,
|
| 121 |
-
"¢": 105,
|
| 122 |
-
"£": 106,
|
| 123 |
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"¥": 107,
|
| 124 |
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"§": 108,
|
| 125 |
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"ª": 109,
|
| 126 |
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"«": 110,
|
| 127 |
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"": 111,
|
| 128 |
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"®": 112,
|
| 129 |
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"°": 113,
|
| 130 |
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"±": 114,
|
| 131 |
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"²": 115,
|
| 132 |
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"³": 116,
|
| 133 |
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"´": 117,
|
| 134 |
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"¶": 118,
|
| 135 |
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"·": 119,
|
| 136 |
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"¹": 120,
|
| 137 |
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"º": 121,
|
| 138 |
-
"»": 122,
|
| 139 |
-
"¼": 123,
|
| 140 |
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"½": 124,
|
| 141 |
-
"¾": 125,
|
| 142 |
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"¿": 126,
|
| 143 |
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"À": 127,
|
| 144 |
-
"Á": 128,
|
| 145 |
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"Â": 129,
|
| 146 |
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"Ä": 130,
|
| 147 |
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"Å": 131,
|
| 148 |
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"Æ": 132,
|
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"Ç": 133,
|
| 150 |
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"È": 134,
|
| 151 |
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"É": 135,
|
| 152 |
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"Ê": 136,
|
| 153 |
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"Í": 137,
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| 154 |
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"Ï": 138,
|
| 155 |
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"Ñ": 139,
|
| 156 |
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"Ó": 140,
|
| 157 |
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"Ô": 141,
|
| 158 |
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"Ö": 142,
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| 159 |
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"×": 143,
|
| 160 |
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"Ù": 144,
|
| 161 |
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"Ú": 145,
|
| 162 |
-
"Ü": 146,
|
| 163 |
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"Ý": 147,
|
| 164 |
-
"Þ": 148,
|
| 165 |
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"ß": 149,
|
| 166 |
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"à": 150,
|
| 167 |
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"á": 151,
|
| 168 |
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"ã": 153,
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| 170 |
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"ä": 154,
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| 171 |
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"å": 155,
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| 172 |
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| 173 |
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"ç": 157,
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"è": 158,
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| 175 |
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"é": 159,
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| 176 |
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"ê": 160,
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| 177 |
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"ë": 161,
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| 178 |
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"ì": 162,
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| 179 |
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"í": 163,
|
| 180 |
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"î": 164,
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| 181 |
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"ï": 165,
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| 182 |
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"ð": 166,
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"ñ": 167,
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"ò": 168,
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"ó": 169,
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"ô": 170,
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"õ": 171,
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"ö": 172,
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| 189 |
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"ø": 173,
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| 190 |
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"ù": 174,
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| 191 |
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"ú": 175,
|
| 192 |
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"û": 176,
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| 193 |
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"ü": 177,
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| 194 |
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"ý": 178,
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| 195 |
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"þ": 179,
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| 197 |
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"ā": 181,
|
| 198 |
-
"Ă": 182,
|
| 199 |
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"ă": 183,
|
| 200 |
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"ą": 184,
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| 201 |
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"ć": 185,
|
| 202 |
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"č": 186,
|
| 203 |
-
"Đ": 187,
|
| 204 |
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"đ": 188,
|
| 205 |
-
"ē": 189,
|
| 206 |
-
"ė": 190,
|
| 207 |
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"ę": 191,
|
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"ğ": 192,
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| 209 |
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"ġ": 193,
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| 210 |
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"ĩ": 194,
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| 211 |
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"ī": 195,
|
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"ł": 197,
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| 218 |
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"œ": 202,
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|
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"ś": 204,
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| 222 |
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| 223 |
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| 232 |
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| 233 |
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"Ơ": 217,
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| 234 |
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"ơ": 218,
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| 235 |
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"ư": 220,
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"ǁ": 221,
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| 238 |
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"ǂ": 222,
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| 240 |
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| 241 |
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| 242 |
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| 244 |
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-
"ɛ": 230,
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| 247 |
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"ʰ": 231,
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| 248 |
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"ˆ": 232,
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| 249 |
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"ˈ": 233,
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| 250 |
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"ˢ": 234,
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| 251 |
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"̃": 235,
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| 252 |
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"̍": 236,
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"̣": 237,
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| 254 |
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| 255 |
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"͈": 239,
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| 256 |
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| 257 |
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"β": 241,
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| 258 |
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"γ": 242,
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| 259 |
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|
| 260 |
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"ε": 244,
|
| 261 |
-
"η": 245,
|
| 262 |
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"κ": 246,
|
| 263 |
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"μ": 247,
|
| 264 |
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"ξ": 248,
|
| 265 |
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"π": 249,
|
| 266 |
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"ς": 250,
|
| 267 |
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"σ": 251,
|
| 268 |
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"χ": 252,
|
| 269 |
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"ψ": 253,
|
| 270 |
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"а": 254,
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| 271 |
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"д": 255,
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"к": 259,
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| 282 |
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|
| 293 |
-
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"ậ": 292,
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| 309 |
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| 312 |
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"ẻ": 299,
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|
| 317 |
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"Ế": 301,
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| 318 |
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"ế": 302,
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| 319 |
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"Ề": 303,
|
| 320 |
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"ề": 304,
|
| 321 |
-
"ể": 305,
|
| 322 |
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"ễ": 306,
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| 323 |
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"ệ": 307,
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| 324 |
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"ỉ": 308,
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| 325 |
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"ị": 309,
|
| 326 |
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"ọ": 310,
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| 327 |
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"ỏ": 311,
|
| 328 |
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"Ố": 312,
|
| 329 |
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"ố": 313,
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| 330 |
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"Ồ": 314,
|
| 331 |
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"ồ": 315,
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| 332 |
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"Ổ": 316,
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| 333 |
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"ổ": 317,
|
| 334 |
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"ỗ": 318,
|
| 335 |
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"Ộ": 319,
|
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"ộ": 320,
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| 337 |
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"ớ": 321,
|
| 338 |
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"Ờ": 322,
|
| 339 |
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|
| 340 |
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"Ở": 324,
|
| 341 |
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"ở": 325,
|
| 342 |
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"ỡ": 326,
|
| 343 |
-
"ợ": 327,
|
| 344 |
-
"ụ": 328,
|
| 345 |
-
"ủ": 329,
|
| 346 |
-
"Ứ": 330,
|
| 347 |
-
"ứ": 331,
|
| 348 |
-
"Ừ": 332,
|
| 349 |
-
"ừ": 333,
|
| 350 |
-
"ử": 334,
|
| 351 |
-
"ữ": 335,
|
| 352 |
-
"ự": 336,
|
| 353 |
-
"ỳ": 337,
|
| 354 |
-
"ỵ": 338,
|
| 355 |
-
"Ỷ": 339,
|
| 356 |
-
"ỷ": 340,
|
| 357 |
-
"ỹ": 341,
|
| 358 |
-
"ὖ": 342,
|
| 359 |
-
"ὼ": 343,
|
| 360 |
-
"ῆ": 344,
|
| 361 |
-
"": 345,
|
| 362 |
-
"‐": 346,
|
| 363 |
-
"—": 347,
|
| 364 |
-
"―": 348,
|
| 365 |
-
"†": 349,
|
| 366 |
-
"•": 350,
|
| 367 |
-
"…": 351,
|
| 368 |
-
"‰": 352,
|
| 369 |
-
"′": 353,
|
| 370 |
-
"″": 354,
|
| 371 |
-
"⁄": 355,
|
| 372 |
-
"⁷": 356,
|
| 373 |
-
"⁻": 357,
|
| 374 |
-
"₀": 358,
|
| 375 |
-
"₁": 359,
|
| 376 |
-
"₂": 360,
|
| 377 |
-
"₃": 361,
|
| 378 |
-
"₄": 362,
|
| 379 |
-
"₅": 363,
|
| 380 |
-
"₆": 364,
|
| 381 |
-
"₇": 365,
|
| 382 |
-
"₈": 366,
|
| 383 |
-
"€": 367,
|
| 384 |
-
"₹": 368,
|
| 385 |
-
"⅓": 369,
|
| 386 |
-
"⅔": 370,
|
| 387 |
-
"⅖": 371,
|
| 388 |
-
"⅙": 372,
|
| 389 |
-
"⅛": 373,
|
| 390 |
-
"⅝": 374,
|
| 391 |
-
"√": 375,
|
| 392 |
-
"│": 376,
|
| 393 |
-
"♦": 377,
|
| 394 |
-
"⚓": 378,
|
| 395 |
-
"✈": 379,
|
| 396 |
-
"✠": 380,
|
| 397 |
-
"✨": 381,
|
| 398 |
-
"⟙": 382,
|
| 399 |
-
"⸺": 383,
|
| 400 |
-
"。": 384,
|
| 401 |
-
"〈": 385,
|
| 402 |
-
"な": 386,
|
| 403 |
-
"三": 387,
|
| 404 |
-
"次": 388,
|
| 405 |
-
"肿": 389,
|
| 406 |
-
"臃": 390,
|
| 407 |
-
"구": 391,
|
| 408 |
-
"로": 392,
|
| 409 |
-
"요": 393,
|
| 410 |
-
"ﷺ": 394,
|
| 411 |
-
"️": 395,
|
| 412 |
-
"𝑥": 396,
|
| 413 |
-
"𝑦": 397,
|
| 414 |
-
"🌊": 398,
|
| 415 |
-
"🌿": 399,
|
| 416 |
-
"💦": 400,
|
| 417 |
-
"💨": 401
|
| 418 |
-
},
|
| 419 |
-
"phoneme_symbols": {
|
| 420 |
-
"0": "_",
|
| 421 |
-
"1": "<de>",
|
| 422 |
-
"2": "<en_gb>",
|
| 423 |
-
"3": "<en_us>",
|
| 424 |
-
"4": "<es>",
|
| 425 |
-
"5": "<fr>",
|
| 426 |
-
"6": "<it>",
|
| 427 |
-
"7": "<vi>",
|
| 428 |
-
"8": "<end>",
|
| 429 |
-
"9": " ",
|
| 430 |
-
"10": "!",
|
| 431 |
-
"11": ",",
|
| 432 |
-
"12": "-",
|
| 433 |
-
"13": ".",
|
| 434 |
-
"14": "1",
|
| 435 |
-
"15": "2",
|
| 436 |
-
"16": "4",
|
| 437 |
-
"17": "5",
|
| 438 |
-
"18": "6",
|
| 439 |
-
"19": "7",
|
| 440 |
-
"20": ":",
|
| 441 |
-
"21": ";",
|
| 442 |
-
"22": "?",
|
| 443 |
-
"23": "a",
|
| 444 |
-
"24": "b",
|
| 445 |
-
"25": "c",
|
| 446 |
-
"26": "d",
|
| 447 |
-
"27": "e",
|
| 448 |
-
"28": "f",
|
| 449 |
-
"29": "h",
|
| 450 |
-
"30": "i",
|
| 451 |
-
"31": "j",
|
| 452 |
-
"32": "k",
|
| 453 |
-
"33": "l",
|
| 454 |
-
"34": "m",
|
| 455 |
-
"35": "n",
|
| 456 |
-
"36": "o",
|
| 457 |
-
"37": "p",
|
| 458 |
-
"38": "q",
|
| 459 |
-
"39": "r",
|
| 460 |
-
"40": "s",
|
| 461 |
-
"41": "t",
|
| 462 |
-
"42": "u",
|
| 463 |
-
"43": "v",
|
| 464 |
-
"44": "w",
|
| 465 |
-
"45": "x",
|
| 466 |
-
"46": "y",
|
| 467 |
-
"47": "z",
|
| 468 |
-
"48": "«",
|
| 469 |
-
"49": "»",
|
| 470 |
-
"50": "æ",
|
| 471 |
-
"51": "ç",
|
| 472 |
-
"52": "ð",
|
| 473 |
-
"53": "ø",
|
| 474 |
-
"54": "ŋ",
|
| 475 |
-
"55": "œ",
|
| 476 |
-
"56": "ɐ",
|
| 477 |
-
"57": "ɑ",
|
| 478 |
-
"58": "ɒ",
|
| 479 |
-
"59": "ɔ",
|
| 480 |
-
"60": "ɗ",
|
| 481 |
-
"61": "ə",
|
| 482 |
-
"62": "ɚ",
|
| 483 |
-
"63": "ɛ",
|
| 484 |
-
"64": "ɜ",
|
| 485 |
-
"65": "ɟ",
|
| 486 |
-
"66": "ɡ",
|
| 487 |
-
"67": "ɣ",
|
| 488 |
-
"68": "ɨ",
|
| 489 |
-
"69": "ɪ",
|
| 490 |
-
"70": "ɬ",
|
| 491 |
-
"71": "ɯ",
|
| 492 |
-
"72": "ɲ",
|
| 493 |
-
"73": "ɹ",
|
| 494 |
-
"74": "ɾ",
|
| 495 |
-
"75": "ʁ",
|
| 496 |
-
"76": "ʃ",
|
| 497 |
-
"77": "ʊ",
|
| 498 |
-
"78": "ʌ",
|
| 499 |
-
"79": "ʎ",
|
| 500 |
-
"80": "ʐ",
|
| 501 |
-
"81": "ʒ",
|
| 502 |
-
"82": "ʔ",
|
| 503 |
-
"83": "ʝ",
|
| 504 |
-
"84": "ʲ",
|
| 505 |
-
"85": "ˈ",
|
| 506 |
-
"86": "ˌ",
|
| 507 |
-
"87": "ː",
|
| 508 |
-
"88": "̃",
|
| 509 |
-
"89": "̩",
|
| 510 |
-
"90": "̪",
|
| 511 |
-
"91": "β",
|
| 512 |
-
"92": "θ",
|
| 513 |
-
"93": "ᵻ",
|
| 514 |
-
"94": "—",
|
| 515 |
-
"95": "…"
|
| 516 |
-
}
|
| 517 |
-
}
|
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|
coreai/assets/languages.json
DELETED
|
@@ -1,30 +0,0 @@
|
|
| 1 |
-
[
|
| 2 |
-
{
|
| 3 |
-
"id": "en_us",
|
| 4 |
-
"index": 0
|
| 5 |
-
},
|
| 6 |
-
{
|
| 7 |
-
"id": "en_gb",
|
| 8 |
-
"index": 1
|
| 9 |
-
},
|
| 10 |
-
{
|
| 11 |
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|
| 411 |
-
"expanded_phone_log_duration",
|
| 412 |
-
"expanded_sentence_type_ids",
|
| 413 |
-
"expanded_melody"
|
| 414 |
-
],
|
| 415 |
-
"outputs": [
|
| 416 |
-
"velocity"
|
| 417 |
-
],
|
| 418 |
-
"required": false
|
| 419 |
-
},
|
| 420 |
-
"pitch_estimator_512": {
|
| 421 |
-
"artifacts": {
|
| 422 |
-
"coreai": {
|
| 423 |
-
"format": "coreai",
|
| 424 |
-
"path": "coreai/pitch_estimator.aimodel",
|
| 425 |
-
"function": "pitch_estimator_512"
|
| 426 |
-
}
|
| 427 |
-
},
|
| 428 |
-
"inputs": [
|
| 429 |
-
"noise",
|
| 430 |
-
"time",
|
| 431 |
-
"expanded_phone_ids",
|
| 432 |
-
"voice_id",
|
| 433 |
-
"language_id",
|
| 434 |
-
"delivery_values",
|
| 435 |
-
"delivery_present",
|
| 436 |
-
"latent_mask",
|
| 437 |
-
"span_context_hidden",
|
| 438 |
-
"expanded_boundary_event_ids",
|
| 439 |
-
"expanded_modifier_event_ids",
|
| 440 |
-
"expanded_phone_phase",
|
| 441 |
-
"expanded_phone_log_duration",
|
| 442 |
-
"expanded_sentence_type_ids"
|
| 443 |
-
],
|
| 444 |
-
"outputs": [
|
| 445 |
-
"velocity"
|
| 446 |
-
],
|
| 447 |
-
"required": false
|
| 448 |
-
},
|
| 449 |
-
"vocoder_512": {
|
| 450 |
-
"artifacts": {
|
| 451 |
-
"coreai": {
|
| 452 |
-
"format": "coreai",
|
| 453 |
-
"path": "coreai/vocoder.aimodel",
|
| 454 |
-
"function": "vocoder_512"
|
| 455 |
-
}
|
| 456 |
-
},
|
| 457 |
-
"inputs": [
|
| 458 |
-
"latents",
|
| 459 |
-
"latent_mask",
|
| 460 |
-
"voice_id",
|
| 461 |
-
"language_id",
|
| 462 |
-
"emotion_id"
|
| 463 |
-
],
|
| 464 |
-
"outputs": [
|
| 465 |
-
"audio"
|
| 466 |
-
],
|
| 467 |
-
"required": false
|
| 468 |
-
},
|
| 469 |
-
"vector_estimator_768": {
|
| 470 |
-
"artifacts": {
|
| 471 |
-
"coreai": {
|
| 472 |
-
"format": "coreai",
|
| 473 |
-
"path": "coreai/vector_estimator.aimodel",
|
| 474 |
-
"function": "vector_estimator_768"
|
| 475 |
-
}
|
| 476 |
-
},
|
| 477 |
-
"inputs": [
|
| 478 |
-
"noise",
|
| 479 |
-
"time",
|
| 480 |
-
"expanded_phone_ids",
|
| 481 |
-
"voice_id",
|
| 482 |
-
"language_id",
|
| 483 |
-
"delivery_values",
|
| 484 |
-
"delivery_present",
|
| 485 |
-
"latent_mask",
|
| 486 |
-
"span_context_hidden",
|
| 487 |
-
"prefix_latents",
|
| 488 |
-
"prefix_mask",
|
| 489 |
-
"expanded_boundary_event_ids",
|
| 490 |
-
"expanded_modifier_event_ids",
|
| 491 |
-
"expanded_phone_phase",
|
| 492 |
-
"expanded_phone_log_duration",
|
| 493 |
-
"expanded_sentence_type_ids",
|
| 494 |
-
"expanded_melody"
|
| 495 |
-
],
|
| 496 |
-
"outputs": [
|
| 497 |
-
"velocity"
|
| 498 |
-
],
|
| 499 |
-
"required": false
|
| 500 |
-
},
|
| 501 |
-
"pitch_estimator_768": {
|
| 502 |
-
"artifacts": {
|
| 503 |
-
"coreai": {
|
| 504 |
-
"format": "coreai",
|
| 505 |
-
"path": "coreai/pitch_estimator.aimodel",
|
| 506 |
-
"function": "pitch_estimator_768"
|
| 507 |
-
}
|
| 508 |
-
},
|
| 509 |
-
"inputs": [
|
| 510 |
-
"noise",
|
| 511 |
-
"time",
|
| 512 |
-
"expanded_phone_ids",
|
| 513 |
-
"voice_id",
|
| 514 |
-
"language_id",
|
| 515 |
-
"delivery_values",
|
| 516 |
-
"delivery_present",
|
| 517 |
-
"latent_mask",
|
| 518 |
-
"span_context_hidden",
|
| 519 |
-
"expanded_boundary_event_ids",
|
| 520 |
-
"expanded_modifier_event_ids",
|
| 521 |
-
"expanded_phone_phase",
|
| 522 |
-
"expanded_phone_log_duration",
|
| 523 |
-
"expanded_sentence_type_ids"
|
| 524 |
-
],
|
| 525 |
-
"outputs": [
|
| 526 |
-
"velocity"
|
| 527 |
-
],
|
| 528 |
-
"required": false
|
| 529 |
-
},
|
| 530 |
-
"vocoder_768": {
|
| 531 |
-
"artifacts": {
|
| 532 |
-
"coreai": {
|
| 533 |
-
"format": "coreai",
|
| 534 |
-
"path": "coreai/vocoder.aimodel",
|
| 535 |
-
"function": "vocoder_768"
|
| 536 |
-
}
|
| 537 |
-
},
|
| 538 |
-
"inputs": [
|
| 539 |
-
"latents",
|
| 540 |
-
"latent_mask",
|
| 541 |
-
"voice_id",
|
| 542 |
-
"language_id",
|
| 543 |
-
"emotion_id"
|
| 544 |
-
],
|
| 545 |
-
"outputs": [
|
| 546 |
-
"audio"
|
| 547 |
-
],
|
| 548 |
-
"required": false
|
| 549 |
-
},
|
| 550 |
-
"vector_estimator": {
|
| 551 |
-
"artifacts": {
|
| 552 |
-
"coreai": {
|
| 553 |
-
"format": "coreai",
|
| 554 |
-
"path": "coreai/vector_estimator.aimodel",
|
| 555 |
-
"function": "vector_estimator"
|
| 556 |
-
}
|
| 557 |
-
},
|
| 558 |
-
"inputs": [
|
| 559 |
-
"noise",
|
| 560 |
-
"time",
|
| 561 |
-
"expanded_phone_ids",
|
| 562 |
-
"voice_id",
|
| 563 |
-
"language_id",
|
| 564 |
-
"delivery_values",
|
| 565 |
-
"delivery_present",
|
| 566 |
-
"latent_mask",
|
| 567 |
-
"span_context_hidden",
|
| 568 |
-
"prefix_latents",
|
| 569 |
-
"prefix_mask",
|
| 570 |
-
"expanded_boundary_event_ids",
|
| 571 |
-
"expanded_modifier_event_ids",
|
| 572 |
-
"expanded_phone_phase",
|
| 573 |
-
"expanded_phone_log_duration",
|
| 574 |
-
"expanded_sentence_type_ids",
|
| 575 |
-
"expanded_melody"
|
| 576 |
-
],
|
| 577 |
-
"outputs": [
|
| 578 |
-
"velocity"
|
| 579 |
-
],
|
| 580 |
-
"required": true
|
| 581 |
-
},
|
| 582 |
-
"pitch_estimator": {
|
| 583 |
-
"artifacts": {
|
| 584 |
-
"coreai": {
|
| 585 |
-
"format": "coreai",
|
| 586 |
-
"path": "coreai/pitch_estimator.aimodel",
|
| 587 |
-
"function": "pitch_estimator"
|
| 588 |
-
}
|
| 589 |
-
},
|
| 590 |
-
"inputs": [
|
| 591 |
-
"noise",
|
| 592 |
-
"time",
|
| 593 |
-
"expanded_phone_ids",
|
| 594 |
-
"voice_id",
|
| 595 |
-
"language_id",
|
| 596 |
-
"delivery_values",
|
| 597 |
-
"delivery_present",
|
| 598 |
-
"latent_mask",
|
| 599 |
-
"span_context_hidden",
|
| 600 |
-
"expanded_boundary_event_ids",
|
| 601 |
-
"expanded_modifier_event_ids",
|
| 602 |
-
"expanded_phone_phase",
|
| 603 |
-
"expanded_phone_log_duration",
|
| 604 |
-
"expanded_sentence_type_ids"
|
| 605 |
-
],
|
| 606 |
-
"outputs": [
|
| 607 |
-
"velocity"
|
| 608 |
-
],
|
| 609 |
-
"required": true
|
| 610 |
-
},
|
| 611 |
-
"vocoder": {
|
| 612 |
-
"artifacts": {
|
| 613 |
-
"coreai": {
|
| 614 |
-
"format": "coreai",
|
| 615 |
-
"path": "coreai/vocoder.aimodel",
|
| 616 |
-
"function": "vocoder"
|
| 617 |
-
}
|
| 618 |
-
},
|
| 619 |
-
"inputs": [
|
| 620 |
-
"latents",
|
| 621 |
-
"latent_mask",
|
| 622 |
-
"voice_id",
|
| 623 |
-
"language_id",
|
| 624 |
-
"emotion_id"
|
| 625 |
-
],
|
| 626 |
-
"outputs": [
|
| 627 |
-
"audio"
|
| 628 |
-
],
|
| 629 |
-
"required": true
|
| 630 |
-
}
|
| 631 |
-
},
|
| 632 |
-
"contract_version": "1.0.0",
|
| 633 |
-
"controls": {
|
| 634 |
-
"chunk_context": {
|
| 635 |
-
"artificial_continuation_boundaries": [
|
| 636 |
-
"chunk_continue"
|
| 637 |
-
],
|
| 638 |
-
"artificial_continuation_phone": null,
|
| 639 |
-
"boundary_after_values": [
|
| 640 |
-
"sentence_end",
|
| 641 |
-
"paragraph_end",
|
| 642 |
-
"clause_continue",
|
| 643 |
-
"chunk_continue"
|
| 644 |
-
],
|
| 645 |
-
"boundary_before_values": [
|
| 646 |
-
"sentence_start",
|
| 647 |
-
"paragraph_start",
|
| 648 |
-
"clause_continue",
|
| 649 |
-
"chunk_continue"
|
| 650 |
-
],
|
| 651 |
-
"clause_continuation_fallback_phone": "<pause_comma>",
|
| 652 |
-
"conditioning": "boundary_embeddings",
|
| 653 |
-
"context_phone_tokens": {
|
| 654 |
-
"continuation": "<ctx_continuation>",
|
| 655 |
-
"sentence_end": "<ctx_sentence_end>",
|
| 656 |
-
"sentence_start": "<ctx_sentence_start>"
|
| 657 |
-
},
|
| 658 |
-
"default_boundary_after": "sentence_end",
|
| 659 |
-
"default_boundary_before": "sentence_start",
|
| 660 |
-
"emit_context_phone_tokens": false,
|
| 661 |
-
"linguistic_continuation_boundaries": [
|
| 662 |
-
"clause_continue"
|
| 663 |
-
],
|
| 664 |
-
"schema_version": 2
|
| 665 |
-
},
|
| 666 |
-
"chunking": {
|
| 667 |
-
"shared_split_phone": "<sil>",
|
| 668 |
-
"split_after": [
|
| 669 |
-
"<end_stmt>",
|
| 670 |
-
"<end_question>",
|
| 671 |
-
"<end_exclaim>",
|
| 672 |
-
"<ellipsis>"
|
| 673 |
-
],
|
| 674 |
-
"unit": "sentence"
|
| 675 |
-
},
|
| 676 |
-
"decoding": {
|
| 677 |
-
"context_frames": 48,
|
| 678 |
-
"mode": "overlap"
|
| 679 |
-
},
|
| 680 |
-
"delivery": {
|
| 681 |
-
"defaults": {
|
| 682 |
-
"ariadne": {
|
| 683 |
-
"intensity": 0.0,
|
| 684 |
-
"pace": 0.0,
|
| 685 |
-
"pitch": 0.0
|
| 686 |
-
},
|
| 687 |
-
"felix": {
|
| 688 |
-
"intensity": 0.0,
|
| 689 |
-
"pace": 0.0,
|
| 690 |
-
"pitch": 0.0
|
| 691 |
-
},
|
| 692 |
-
"gwen": {
|
| 693 |
-
"intensity": 0.0,
|
| 694 |
-
"pace": 0.0,
|
| 695 |
-
"pitch": 0.0
|
| 696 |
-
},
|
| 697 |
-
"ink": {
|
| 698 |
-
"intensity": 0.0,
|
| 699 |
-
"pace": 0.0,
|
| 700 |
-
"pitch": 0.0
|
| 701 |
-
},
|
| 702 |
-
"kincade": {
|
| 703 |
-
"intensity": 0.0,
|
| 704 |
-
"pace": 0.0,
|
| 705 |
-
"pitch": 0.0
|
| 706 |
-
},
|
| 707 |
-
"max": {
|
| 708 |
-
"intensity": 0.0,
|
| 709 |
-
"pace": 0.0,
|
| 710 |
-
"pitch": 0.0
|
| 711 |
-
},
|
| 712 |
-
"orpheus": {
|
| 713 |
-
"intensity": 0.0,
|
| 714 |
-
"pace": 0.0,
|
| 715 |
-
"pitch": 0.0
|
| 716 |
-
},
|
| 717 |
-
"poppy": {
|
| 718 |
-
"intensity": 0.0,
|
| 719 |
-
"pace": 0.0,
|
| 720 |
-
"pitch": 0.0
|
| 721 |
-
},
|
| 722 |
-
"priya": {
|
| 723 |
-
"intensity": 0.0,
|
| 724 |
-
"pace": 0.0,
|
| 725 |
-
"pitch": 0.0
|
| 726 |
-
},
|
| 727 |
-
"rex": {
|
| 728 |
-
"intensity": 0.0,
|
| 729 |
-
"pace": 0.0,
|
| 730 |
-
"pitch": 0.0
|
| 731 |
-
},
|
| 732 |
-
"scylla": {
|
| 733 |
-
"intensity": 0.0,
|
| 734 |
-
"pace": 0.0,
|
| 735 |
-
"pitch": 0.0
|
| 736 |
-
},
|
| 737 |
-
"stone": {
|
| 738 |
-
"intensity": 0.0,
|
| 739 |
-
"pace": 0.0,
|
| 740 |
-
"pitch": 0.0
|
| 741 |
-
},
|
| 742 |
-
"thistle": {
|
| 743 |
-
"intensity": 0.0,
|
| 744 |
-
"pace": 0.0,
|
| 745 |
-
"pitch": 0.0
|
| 746 |
-
},
|
| 747 |
-
"tuesday": {
|
| 748 |
-
"intensity": 0.0,
|
| 749 |
-
"pace": 0.0,
|
| 750 |
-
"pitch": 0.0
|
| 751 |
-
}
|
| 752 |
-
},
|
| 753 |
-
"graph_slots": 5,
|
| 754 |
-
"min_spoken_phones": 4,
|
| 755 |
-
"ranges": {
|
| 756 |
-
"intensity": [
|
| 757 |
-
-2.0,
|
| 758 |
-
2.0
|
| 759 |
-
],
|
| 760 |
-
"pace": [
|
| 761 |
-
-2.0,
|
| 762 |
-
2.0
|
| 763 |
-
],
|
| 764 |
-
"pitch": [
|
| 765 |
-
-2.0,
|
| 766 |
-
2.0
|
| 767 |
-
]
|
| 768 |
-
},
|
| 769 |
-
"release_id": "v3-20261103",
|
| 770 |
-
"rule": "value = clip(z, -z_limit, z_limit) / z_scale, present; both slots absent on a target with fewer than min_spoken_phones spoken phones; slots 2-4 always absent",
|
| 771 |
-
"schema": "measured_controls_v1",
|
| 772 |
-
"slots": [
|
| 773 |
-
"intensity",
|
| 774 |
-
"pace"
|
| 775 |
-
],
|
| 776 |
-
"units": {
|
| 777 |
-
"intensity": "sd",
|
| 778 |
-
"pace": "sd",
|
| 779 |
-
"pitch": "semitones"
|
| 780 |
-
},
|
| 781 |
-
"voice_locales": {
|
| 782 |
-
"ariadne": [
|
| 783 |
-
"de",
|
| 784 |
-
"en_us",
|
| 785 |
-
"es",
|
| 786 |
-
"fr",
|
| 787 |
-
"it",
|
| 788 |
-
"vi"
|
| 789 |
-
],
|
| 790 |
-
"felix": [
|
| 791 |
-
"de",
|
| 792 |
-
"en_us",
|
| 793 |
-
"es",
|
| 794 |
-
"fr",
|
| 795 |
-
"it",
|
| 796 |
-
"vi"
|
| 797 |
-
],
|
| 798 |
-
"gwen": [
|
| 799 |
-
"de",
|
| 800 |
-
"en_us",
|
| 801 |
-
"es",
|
| 802 |
-
"fr",
|
| 803 |
-
"it",
|
| 804 |
-
"vi"
|
| 805 |
-
],
|
| 806 |
-
"ink": [
|
| 807 |
-
"de",
|
| 808 |
-
"en_gb",
|
| 809 |
-
"es",
|
| 810 |
-
"fr",
|
| 811 |
-
"it",
|
| 812 |
-
"vi"
|
| 813 |
-
],
|
| 814 |
-
"kincade": [
|
| 815 |
-
"en_us",
|
| 816 |
-
"es",
|
| 817 |
-
"de",
|
| 818 |
-
"fr",
|
| 819 |
-
"it",
|
| 820 |
-
"vi"
|
| 821 |
-
],
|
| 822 |
-
"max": [
|
| 823 |
-
"de",
|
| 824 |
-
"en_us",
|
| 825 |
-
"es",
|
| 826 |
-
"fr",
|
| 827 |
-
"it",
|
| 828 |
-
"vi"
|
| 829 |
-
],
|
| 830 |
-
"orpheus": [
|
| 831 |
-
"de",
|
| 832 |
-
"en_gb",
|
| 833 |
-
"es",
|
| 834 |
-
"fr",
|
| 835 |
-
"it",
|
| 836 |
-
"vi"
|
| 837 |
-
],
|
| 838 |
-
"poppy": [
|
| 839 |
-
"en_us",
|
| 840 |
-
"es",
|
| 841 |
-
"de",
|
| 842 |
-
"fr",
|
| 843 |
-
"it",
|
| 844 |
-
"vi"
|
| 845 |
-
],
|
| 846 |
-
"priya": [
|
| 847 |
-
"en_us",
|
| 848 |
-
"es",
|
| 849 |
-
"de",
|
| 850 |
-
"fr",
|
| 851 |
-
"it",
|
| 852 |
-
"vi"
|
| 853 |
-
],
|
| 854 |
-
"rex": [
|
| 855 |
-
"de",
|
| 856 |
-
"en_us",
|
| 857 |
-
"es",
|
| 858 |
-
"fr",
|
| 859 |
-
"it",
|
| 860 |
-
"vi"
|
| 861 |
-
],
|
| 862 |
-
"scylla": [
|
| 863 |
-
"de",
|
| 864 |
-
"en_us",
|
| 865 |
-
"es",
|
| 866 |
-
"fr",
|
| 867 |
-
"it",
|
| 868 |
-
"vi"
|
| 869 |
-
],
|
| 870 |
-
"stone": [
|
| 871 |
-
"de",
|
| 872 |
-
"en_us",
|
| 873 |
-
"es",
|
| 874 |
-
"fr",
|
| 875 |
-
"it",
|
| 876 |
-
"vi"
|
| 877 |
-
],
|
| 878 |
-
"thistle": [
|
| 879 |
-
"en_us",
|
| 880 |
-
"es",
|
| 881 |
-
"de",
|
| 882 |
-
"fr",
|
| 883 |
-
"it",
|
| 884 |
-
"vi"
|
| 885 |
-
],
|
| 886 |
-
"tuesday": [
|
| 887 |
-
"de",
|
| 888 |
-
"en_gb",
|
| 889 |
-
"es",
|
| 890 |
-
"fr",
|
| 891 |
-
"it",
|
| 892 |
-
"vi"
|
| 893 |
-
]
|
| 894 |
-
},
|
| 895 |
-
"z_limit": 2.5,
|
| 896 |
-
"z_scale": 5.0
|
| 897 |
-
},
|
| 898 |
-
"durations": {
|
| 899 |
-
"rounding": "half_even",
|
| 900 |
-
"silence_min_frames": 0,
|
| 901 |
-
"speech_min_frames": 1,
|
| 902 |
-
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|
| 903 |
-
},
|
| 904 |
-
"emotions": {
|
| 905 |
-
"enabled": false
|
| 906 |
-
},
|
| 907 |
-
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|
| 908 |
-
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|
| 909 |
-
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|
| 910 |
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|
| 911 |
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| 912 |
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|
| 913 |
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|
| 914 |
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| 915 |
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|
| 916 |
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|
| 917 |
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| 918 |
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{
|
| 919 |
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|
| 920 |
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| 921 |
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},
|
| 922 |
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{
|
| 923 |
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|
| 924 |
-
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|
| 925 |
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},
|
| 926 |
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{
|
| 927 |
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|
| 928 |
-
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|
| 929 |
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|
| 930 |
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{
|
| 931 |
-
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|
| 932 |
-
"component": "g2p"
|
| 933 |
-
}
|
| 934 |
-
],
|
| 935 |
-
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|
| 936 |
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|
| 937 |
-
"per_sd": -0.13,
|
| 938 |
-
"phone": "<sil>",
|
| 939 |
-
"rule": "before rounding, each <sil> position's predicted frames are multiplied by exp(per_sd * pace)"
|
| 940 |
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},
|
| 941 |
-
"pitch": {
|
| 942 |
-
"center": 10.0,
|
| 943 |
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|
| 944 |
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|
| 945 |
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"edges": {
|
| 946 |
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"ariadne": [
|
| 947 |
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7.69,
|
| 948 |
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27.31
|
| 949 |
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],
|
| 950 |
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"felix": [
|
| 951 |
-
-3.02,
|
| 952 |
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18.91
|
| 953 |
-
],
|
| 954 |
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"gwen": [
|
| 955 |
-
4.84,
|
| 956 |
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25.68
|
| 957 |
-
],
|
| 958 |
-
"ink": [
|
| 959 |
-
3.83,
|
| 960 |
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24.19
|
| 961 |
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],
|
| 962 |
-
"kincade": [
|
| 963 |
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-6.17,
|
| 964 |
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18.61
|
| 965 |
-
],
|
| 966 |
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"max": [
|
| 967 |
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-9.9,
|
| 968 |
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17.2
|
| 969 |
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],
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| 970 |
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"orpheus": [
|
| 971 |
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-4.35,
|
| 972 |
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18.42
|
| 973 |
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],
|
| 974 |
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"poppy": [
|
| 975 |
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6.97,
|
| 976 |
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25.88
|
| 977 |
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| 978 |
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"priya": [
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| 979 |
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6.0,
|
| 980 |
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25.96
|
| 981 |
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"rex": [
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| 983 |
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-3.75,
|
| 984 |
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17.13
|
| 985 |
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],
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| 986 |
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"scylla": [
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| 987 |
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8.47,
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| 988 |
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28.12
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| 989 |
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],
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| 990 |
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"stone": [
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| 991 |
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|
| 992 |
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17.8
|
| 993 |
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],
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"thistle": [
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| 995 |
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6.5,
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| 996 |
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26.67
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| 997 |
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"tuesday": [
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| 999 |
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6.13,
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| 1000 |
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24.86
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| 1001 |
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]
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| 1005 |
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|
| 1006 |
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|
| 1007 |
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"sampler": {
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| 1008 |
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"choices": [
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| 1009 |
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"euler",
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| 1010 |
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"heun"
|
| 1011 |
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|
| 1012 |
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"default": "heun"
|
| 1013 |
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|
| 1014 |
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"scale": 6.0,
|
| 1015 |
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"steps": {
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| 1016 |
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"default": 8,
|
| 1017 |
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"max": 64,
|
| 1018 |
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"min": 1
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| 1019 |
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},
|
| 1020 |
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|
| 1021 |
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},
|
| 1022 |
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| 1023 |
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"alignment": "right",
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| 1024 |
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"enabled": true,
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| 1025 |
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"max_frames": 96,
|
| 1026 |
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"source": "previous_latents_tail"
|
| 1027 |
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},
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| 1028 |
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| 1029 |
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| 1030 |
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| 1031 |
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| 1032 |
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"target": "explicit_silence"
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| 1033 |
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},
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| 1034 |
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| 1035 |
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"enabled": false,
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| 1036 |
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"fixed_in_graph": true
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| 1037 |
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| 1038 |
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"sampler": {
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| 1039 |
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"choices": [
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| 1040 |
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"euler",
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| 1041 |
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"heun"
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| 1042 |
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| 1043 |
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"default": "euler"
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| 1044 |
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},
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| 1045 |
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| 1046 |
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"context_max_phones": 512,
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| 1047 |
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| 1048 |
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"duration_inputs": [
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| 1049 |
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"span_phone_ids",
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| 1050 |
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"span_segment_ids",
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| 1051 |
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"span_mask"
|
| 1052 |
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],
|
| 1053 |
-
"enabled": true,
|
| 1054 |
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"encoder_component": "vector_context_encoder",
|
| 1055 |
-
"encoder_inputs": [
|
| 1056 |
-
"span_context_phone_ids",
|
| 1057 |
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"span_context_segment_ids",
|
| 1058 |
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"span_context_mask"
|
| 1059 |
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],
|
| 1060 |
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"exclude_context_phones": [
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| 1061 |
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"<sil>"
|
| 1062 |
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| 1063 |
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"hidden_size": 512,
|
| 1064 |
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"layout": "balanced_before_target_after",
|
| 1065 |
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"pitch_hidden_size": 384,
|
| 1066 |
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"scope": "passage",
|
| 1067 |
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"segments": 3,
|
| 1068 |
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"solver_input": "span_context_hidden"
|
| 1069 |
-
},
|
| 1070 |
-
"speed": {
|
| 1071 |
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"default": 1.0,
|
| 1072 |
-
"max": 1.25,
|
| 1073 |
-
"min": 0.75
|
| 1074 |
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},
|
| 1075 |
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"steps": {
|
| 1076 |
-
"default": 4,
|
| 1077 |
-
"max": 64,
|
| 1078 |
-
"min": 1
|
| 1079 |
-
},
|
| 1080 |
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"target_buckets": {
|
| 1081 |
-
"bucket_margin_frames": 0,
|
| 1082 |
-
"buckets": [
|
| 1083 |
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{
|
| 1084 |
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"default": false,
|
| 1085 |
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"latent_frames": 128,
|
| 1086 |
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"vector_estimator": "vector_estimator_128",
|
| 1087 |
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"pitch_estimator": "pitch_estimator_128",
|
| 1088 |
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"vocoder": "vocoder_128"
|
| 1089 |
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},
|
| 1090 |
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{
|
| 1091 |
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"default": false,
|
| 1092 |
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"latent_frames": 256,
|
| 1093 |
-
"vector_estimator": "vector_estimator_256",
|
| 1094 |
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"pitch_estimator": "pitch_estimator_256",
|
| 1095 |
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"vocoder": "vocoder_256"
|
| 1096 |
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},
|
| 1097 |
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{
|
| 1098 |
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"default": false,
|
| 1099 |
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"latent_frames": 384,
|
| 1100 |
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"vector_estimator": "vector_estimator_384",
|
| 1101 |
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"pitch_estimator": "pitch_estimator_384",
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| 1102 |
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"vocoder": "vocoder_384"
|
| 1103 |
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},
|
| 1104 |
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{
|
| 1105 |
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"default": false,
|
| 1106 |
-
"latent_frames": 512,
|
| 1107 |
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"vector_estimator": "vector_estimator_512",
|
| 1108 |
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"pitch_estimator": "pitch_estimator_512",
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| 1109 |
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"vocoder": "vocoder_512"
|
| 1110 |
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},
|
| 1111 |
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{
|
| 1112 |
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"default": false,
|
| 1113 |
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"latent_frames": 768,
|
| 1114 |
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"vector_estimator": "vector_estimator_768",
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| 1115 |
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"pitch_estimator": "pitch_estimator_768",
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| 1116 |
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"vocoder": "vocoder_768"
|
| 1117 |
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},
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| 1118 |
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{
|
| 1119 |
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"default": true,
|
| 1120 |
-
"latent_frames": 1024,
|
| 1121 |
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"vector_estimator": "vector_estimator",
|
| 1122 |
-
"pitch_estimator": "pitch_estimator",
|
| 1123 |
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"vocoder": "vocoder"
|
| 1124 |
-
}
|
| 1125 |
-
],
|
| 1126 |
-
"default_latent_frames": 1024,
|
| 1127 |
-
"enabled": true,
|
| 1128 |
-
"policy": "smallest_fit"
|
| 1129 |
-
},
|
| 1130 |
-
"text_normalizer": {
|
| 1131 |
-
"prepared_contract_recorded": true,
|
| 1132 |
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"sha256": "d8fd1b2415d0d100d1c70237a4469117ee6b73d0e4da703e4654c83192779cc4",
|
| 1133 |
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"version": "scyllasband_spoken_text_v2_2026_08_05"
|
| 1134 |
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},
|
| 1135 |
-
"timing_events": {
|
| 1136 |
-
"enabled": true,
|
| 1137 |
-
"inputs": [
|
| 1138 |
-
"expanded_boundary_event_ids",
|
| 1139 |
-
"expanded_modifier_event_ids",
|
| 1140 |
-
"expanded_phone_phase",
|
| 1141 |
-
"expanded_phone_log_duration",
|
| 1142 |
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"expanded_sentence_type_ids"
|
| 1143 |
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],
|
| 1144 |
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"modifier_bits": {
|
| 1145 |
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"ˈ": 1,
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| 1146 |
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"ˌ": 2,
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| 1147 |
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"ː": 4,
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| 1148 |
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"̃": 8,
|
| 1149 |
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"̩": 16,
|
| 1150 |
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"̪": 32
|
| 1151 |
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},
|
| 1152 |
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"punctuation_owner": "following_silence_else_first_frame_of_next_phone",
|
| 1153 |
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"sentence_type_count": 5,
|
| 1154 |
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"sentence_type_lookahead": "following_context",
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| 1155 |
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"sentence_types": {
|
| 1156 |
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"<ellipsis>": 4,
|
| 1157 |
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"<end_exclaim>": 3,
|
| 1158 |
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"<end_question>": 2,
|
| 1159 |
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"<end_stmt>": 1
|
| 1160 |
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},
|
| 1161 |
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"word_start_event_id": 87,
|
| 1162 |
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"word_start_owner": "first_phone_of_word_after_chunk_first_word"
|
| 1163 |
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},
|
| 1164 |
-
"word_boundaries": {
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| 1165 |
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"duration_phone": "<sil>",
|
| 1166 |
-
"enabled": true,
|
| 1167 |
-
"g2p_output_symbol": " ",
|
| 1168 |
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"zero_frames_allowed": true
|
| 1169 |
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},
|
| 1170 |
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"coreai": {
|
| 1171 |
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"minimum_os": {
|
| 1172 |
-
"ios": "27.0",
|
| 1173 |
-
"macos": "27.0"
|
| 1174 |
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},
|
| 1175 |
-
"io": {
|
| 1176 |
-
"ids": "int32",
|
| 1177 |
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"masks": "int32",
|
| 1178 |
-
"values": "float32"
|
| 1179 |
-
},
|
| 1180 |
-
"assets": {
|
| 1181 |
-
"g2p": {
|
| 1182 |
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"precision": "fp16",
|
| 1183 |
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"weights": "w8",
|
| 1184 |
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"bytes": 28377419
|
| 1185 |
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},
|
| 1186 |
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"duration_predictor": {
|
| 1187 |
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"precision": "fp16",
|
| 1188 |
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"weights": "w8",
|
| 1189 |
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"bytes": 10921724
|
| 1190 |
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},
|
| 1191 |
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|
| 1192 |
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|
| 1193 |
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"weights": "w8",
|
| 1194 |
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"bytes": 8029409
|
| 1195 |
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},
|
| 1196 |
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|
| 1197 |
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"precision": "fp16",
|
| 1198 |
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"weights": "w8",
|
| 1199 |
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"bytes": 4700962
|
| 1200 |
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},
|
| 1201 |
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"pitch_estimator": {
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| 1202 |
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"precision": "fp16",
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| 1203 |
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"weights": "w8",
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| 1204 |
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"bytes": 25681923
|
| 1205 |
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},
|
| 1206 |
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| 1207 |
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| 1208 |
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"weights": "w8",
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| 1209 |
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"bytes": 63194549
|
| 1210 |
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},
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| 1211 |
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| 1212 |
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| 1213 |
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| 1214 |
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"bytes": 43814219
|
| 1215 |
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}
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| 1216 |
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},
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| 1218 |
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"neural_engine_assets": [
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| 1219 |
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| 1220 |
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|
| 1221 |
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]
|
| 1222 |
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}
|
| 1223 |
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},
|
| 1224 |
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"dataset_summary": {
|
| 1225 |
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"controls": "measured_controls_v1",
|
| 1226 |
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"voice_locale_pairs": 84
|
| 1227 |
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},
|
| 1228 |
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"default_language": "en_us",
|
| 1229 |
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"languages": [
|
| 1230 |
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"en_us",
|
| 1231 |
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"en_gb",
|
| 1232 |
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"es",
|
| 1233 |
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"it",
|
| 1234 |
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"fr",
|
| 1235 |
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"de",
|
| 1236 |
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"vi"
|
| 1237 |
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],
|
| 1238 |
-
"model_name": "Scylla's Band",
|
| 1239 |
-
"model_version": "3",
|
| 1240 |
-
"preferred_backends": [
|
| 1241 |
-
"coreai"
|
| 1242 |
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],
|
| 1243 |
-
"voices": [
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| 1244 |
-
{
|
| 1245 |
-
"default_language": "en_us",
|
| 1246 |
-
"embedding_path": null,
|
| 1247 |
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"id": "ariadne",
|
| 1248 |
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"languages": [
|
| 1249 |
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"de",
|
| 1250 |
-
"en_us",
|
| 1251 |
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"es",
|
| 1252 |
-
"fr",
|
| 1253 |
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"it",
|
| 1254 |
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"vi"
|
| 1255 |
-
],
|
| 1256 |
-
"name": "ariadne",
|
| 1257 |
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| 1258 |
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| 1259 |
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| 1260 |
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| 1261 |
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| 1262 |
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| 1263 |
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| 1264 |
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| 1265 |
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| 1268 |
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| 1269 |
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| 1270 |
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| 1271 |
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| 1272 |
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| 1273 |
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| 1274 |
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| 1275 |
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| 1276 |
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| 1277 |
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| 1278 |
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| 1279 |
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| 1280 |
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| 1281 |
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| 1282 |
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| 1283 |
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| 1284 |
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| 1285 |
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| 1286 |
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| 1287 |
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| 1288 |
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|
| 1289 |
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| 1290 |
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| 1291 |
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| 1292 |
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| 1293 |
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| 1294 |
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| 1295 |
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| 1296 |
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| 1297 |
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| 1298 |
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| 1299 |
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| 1300 |
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| 1301 |
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| 1302 |
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| 1303 |
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| 1304 |
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| 1305 |
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| 1306 |
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| 1307 |
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| 1308 |
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| 1309 |
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| 1310 |
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| 1311 |
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| 1312 |
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| 1313 |
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| 1314 |
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| 1316 |
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| 1319 |
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| 1320 |
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| 1321 |
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| 1322 |
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| 1323 |
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| 1324 |
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| 1325 |
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| 1326 |
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| 1327 |
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| 1328 |
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| 1329 |
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| 1330 |
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| 1331 |
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| 1332 |
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| 1333 |
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| 1334 |
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| 1335 |
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| 1336 |
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| 1337 |
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| 1338 |
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| 1339 |
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|
| 1340 |
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| 1341 |
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| 1342 |
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| 1343 |
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| 1344 |
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| 1345 |
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| 1346 |
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| 1347 |
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| 1348 |
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| 1349 |
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| 1350 |
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| 1351 |
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| 1352 |
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| 1353 |
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| 1354 |
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| 1355 |
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| 1356 |
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|
| 1357 |
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| 1358 |
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| 1359 |
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| 1360 |
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| 1361 |
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| 1362 |
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| 1363 |
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| 1364 |
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| 1365 |
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| 1366 |
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| 1367 |
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| 1368 |
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| 1369 |
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| 1370 |
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| 1371 |
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| 1372 |
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| 1373 |
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| 1374 |
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| 1375 |
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| 1376 |
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| 1377 |
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| 1378 |
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| 1379 |
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| 1380 |
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| 1381 |
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| 1382 |
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| 1383 |
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| 1384 |
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| 1385 |
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| 1386 |
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|
| 1387 |
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| 1388 |
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"fr",
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| 1389 |
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"it",
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| 1390 |
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"vi"
|
| 1391 |
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| 1392 |
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| 1393 |
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| 1394 |
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"default"
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| 1395 |
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| 1396 |
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| 1397 |
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| 1398 |
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| 1399 |
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| 1400 |
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| 1401 |
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| 1402 |
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| 1403 |
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| 1404 |
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| 1405 |
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"fr",
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| 1406 |
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"it",
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| 1407 |
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"vi"
|
| 1408 |
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| 1409 |
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| 1410 |
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| 1411 |
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"default"
|
| 1412 |
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|
| 1413 |
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| 1414 |
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| 1415 |
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| 1416 |
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| 1417 |
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| 1418 |
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| 1419 |
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| 1420 |
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"es",
|
| 1421 |
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|
| 1422 |
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"fr",
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| 1423 |
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"it",
|
| 1424 |
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"vi"
|
| 1425 |
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| 1426 |
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| 1427 |
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| 1428 |
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|
| 1429 |
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|
| 1430 |
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| 1431 |
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| 1432 |
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| 1433 |
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| 1434 |
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| 1435 |
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| 1436 |
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| 1437 |
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|
| 1438 |
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|
| 1439 |
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"fr",
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| 1440 |
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"it",
|
| 1441 |
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"vi"
|
| 1442 |
-
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| 1443 |
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|
| 1444 |
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| 1445 |
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"default"
|
| 1446 |
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|
| 1447 |
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| 1448 |
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| 1449 |
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| 1450 |
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| 1451 |
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| 1452 |
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| 1453 |
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| 1454 |
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"es",
|
| 1455 |
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"de",
|
| 1456 |
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"fr",
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| 1457 |
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"it",
|
| 1458 |
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"vi"
|
| 1459 |
-
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|
| 1460 |
-
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|
| 1461 |
-
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| 1462 |
-
"default"
|
| 1463 |
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|
| 1464 |
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| 1465 |
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| 1466 |
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| 1467 |
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| 1468 |
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| 1469 |
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| 1470 |
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| 1471 |
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"es",
|
| 1472 |
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"de",
|
| 1473 |
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"fr",
|
| 1474 |
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"it",
|
| 1475 |
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"vi"
|
| 1476 |
-
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|
| 1477 |
-
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|
| 1478 |
-
"styles": [
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| 1479 |
-
"default"
|
| 1480 |
-
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|
| 1481 |
-
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|
| 1482 |
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|
| 1483 |
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coreml/assets/fixed_references.json
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coreml/assets/g2p/export_config.json
DELETED
|
@@ -1,33 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"batch_dynamic": true,
|
| 3 |
-
"format": "scyllasband_g2p",
|
| 4 |
-
"input_granularity": "phrase",
|
| 5 |
-
"languages": [
|
| 6 |
-
"de",
|
| 7 |
-
"en_gb",
|
| 8 |
-
"en_us",
|
| 9 |
-
"es",
|
| 10 |
-
"fr",
|
| 11 |
-
"it",
|
| 12 |
-
"vi"
|
| 13 |
-
],
|
| 14 |
-
"model_type": "transformer",
|
| 15 |
-
"onnx_export_batch_size": 4,
|
| 16 |
-
"onnx_export_layout": "batch_first",
|
| 17 |
-
"onnx_export_max_batch_size": 256,
|
| 18 |
-
"onnx_exporter": "dynamo",
|
| 19 |
-
"onnx_fp32_model": "model.onnx",
|
| 20 |
-
"onnx_model": "model.onnx",
|
| 21 |
-
"onnx_padded_output": "ctc_blank",
|
| 22 |
-
"onnx_quantization": "none",
|
| 23 |
-
"onnx_quantized_parity_tolerance": 3.0,
|
| 24 |
-
"opset": 18,
|
| 25 |
-
"phoneme_token_mode": "char",
|
| 26 |
-
"phrase_rows_per_language": 200000,
|
| 27 |
-
"preserve_commas": true,
|
| 28 |
-
"punctuation_silence_target": "explicit_silence",
|
| 29 |
-
"release_role": "fp32_bundle_frontend",
|
| 30 |
-
"source_checkpoint": "output/deepphonemizer_multilingual/model_v10_7lang/checkpoints/model_step_250k.pt",
|
| 31 |
-
"training_mix": "phrase_word_chunked_clean",
|
| 32 |
-
"word_rows_per_language": 200000
|
| 33 |
-
}
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coreml/assets/g2p/language_map.json
DELETED
|
@@ -1,47 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"american": "en_us",
|
| 3 |
-
"american_english": "en_us",
|
| 4 |
-
"british": "en_gb",
|
| 5 |
-
"british_english": "en_gb",
|
| 6 |
-
"de": "de",
|
| 7 |
-
"de_de": "de",
|
| 8 |
-
"deu": "de",
|
| 9 |
-
"en": "en_us",
|
| 10 |
-
"en-gb": "en_gb",
|
| 11 |
-
"en-uk": "en_gb",
|
| 12 |
-
"en-us": "en_us",
|
| 13 |
-
"en_gb": "en_gb",
|
| 14 |
-
"en_uk": "en_gb",
|
| 15 |
-
"en_us": "en_us",
|
| 16 |
-
"eng": "en_us",
|
| 17 |
-
"eng_gb": "en_gb",
|
| 18 |
-
"eng_us": "en_us",
|
| 19 |
-
"english": "en_us",
|
| 20 |
-
"english_gb": "en_gb",
|
| 21 |
-
"english_uk": "en_gb",
|
| 22 |
-
"english_us": "en_us",
|
| 23 |
-
"es": "es",
|
| 24 |
-
"es_es": "es",
|
| 25 |
-
"es_mx": "es",
|
| 26 |
-
"fr": "fr",
|
| 27 |
-
"fr_fr": "fr",
|
| 28 |
-
"fra": "fr",
|
| 29 |
-
"fre": "fr",
|
| 30 |
-
"french": "fr",
|
| 31 |
-
"gb": "en_gb",
|
| 32 |
-
"ger": "de",
|
| 33 |
-
"german": "de",
|
| 34 |
-
"it": "it",
|
| 35 |
-
"it_it": "it",
|
| 36 |
-
"ita": "it",
|
| 37 |
-
"italian": "it",
|
| 38 |
-
"spa": "es",
|
| 39 |
-
"spanish": "es",
|
| 40 |
-
"uk": "en_gb",
|
| 41 |
-
"us": "en_us",
|
| 42 |
-
"vi": "vi",
|
| 43 |
-
"vi_hn": "vi",
|
| 44 |
-
"vi_vn": "vi",
|
| 45 |
-
"vie": "vi",
|
| 46 |
-
"vietnamese": "vi"
|
| 47 |
-
}
|
|
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|
coreml/assets/g2p/normalization.json
DELETED
|
@@ -1,40 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"contract": {
|
| 3 |
-
"colon_semicolon_classes": "preserved",
|
| 4 |
-
"dot_runs_two_or_more": "ellipsis_three_dots",
|
| 5 |
-
"homogeneous_terminal_runs": "single_mark",
|
| 6 |
-
"lexical_hyphen": "space_no_pause",
|
| 7 |
-
"mixed_question_exclamation": "leading_mark",
|
| 8 |
-
"non_acoustic_modifiers": [
|
| 9 |
-
"stress",
|
| 10 |
-
"length",
|
| 11 |
-
"unicode_combining"
|
| 12 |
-
],
|
| 13 |
-
"ok_spoken_form": "okay",
|
| 14 |
-
"punctuation_silence_target": "explicit_silence",
|
| 15 |
-
"syntactic_dash": "em_dash_pause",
|
| 16 |
-
"training_phone_source": "espeak",
|
| 17 |
-
"version": "scyllasband_spoken_text_v2_2026_08_05"
|
| 18 |
-
},
|
| 19 |
-
"contract_sha256": "d8fd1b2415d0d100d1c70237a4469117ee6b73d0e4da703e4654c83192779cc4",
|
| 20 |
-
"contract_version": "scyllasband_spoken_text_v2_2026_08_05",
|
| 21 |
-
"expand_currency": true,
|
| 22 |
-
"expand_dates": true,
|
| 23 |
-
"expand_numbers": true,
|
| 24 |
-
"expand_ordinals": true,
|
| 25 |
-
"expand_percentages": true,
|
| 26 |
-
"expand_times": true,
|
| 27 |
-
"languages": [
|
| 28 |
-
"en",
|
| 29 |
-
"en_us",
|
| 30 |
-
"en_gb",
|
| 31 |
-
"es",
|
| 32 |
-
"it",
|
| 33 |
-
"fr",
|
| 34 |
-
"de",
|
| 35 |
-
"vi"
|
| 36 |
-
],
|
| 37 |
-
"normalize_at_sign": true,
|
| 38 |
-
"normalize_punctuation": true,
|
| 39 |
-
"normalizer": "SpokenTextNormalizer"
|
| 40 |
-
}
|
|
|
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|
coreml/assets/g2p/phoneme_dict.json
DELETED
|
@@ -1,9 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"de": {},
|
| 3 |
-
"en_gb": {},
|
| 4 |
-
"en_us": {},
|
| 5 |
-
"es": {},
|
| 6 |
-
"fr": {},
|
| 7 |
-
"it": {},
|
| 8 |
-
"vi": {}
|
| 9 |
-
}
|
|
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|
coreml/assets/g2p/pronunciation_overrides.json
DELETED
|
@@ -1,4 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"format": "scyllasband_g2p_pronunciation_overrides_v1",
|
| 3 |
-
"languages": {}
|
| 4 |
-
}
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
coreml/assets/g2p/tokenizer.json
DELETED
|
@@ -1,517 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"format": "deepphonemizer_forward_ctc",
|
| 3 |
-
"languages": [
|
| 4 |
-
"de",
|
| 5 |
-
"en_gb",
|
| 6 |
-
"en_us",
|
| 7 |
-
"es",
|
| 8 |
-
"fr",
|
| 9 |
-
"it",
|
| 10 |
-
"vi"
|
| 11 |
-
],
|
| 12 |
-
"char_repeats": 4,
|
| 13 |
-
"lowercase": true,
|
| 14 |
-
"phoneme_token_mode": "char",
|
| 15 |
-
"text_symbols": {
|
| 16 |
-
"_": 0,
|
| 17 |
-
"<de>": 1,
|
| 18 |
-
"<en_gb>": 2,
|
| 19 |
-
"<en_us>": 3,
|
| 20 |
-
"<es>": 4,
|
| 21 |
-
"<fr>": 5,
|
| 22 |
-
"<it>": 6,
|
| 23 |
-
"<vi>": 7,
|
| 24 |
-
"<end>": 8,
|
| 25 |
-
"\b": 9,
|
| 26 |
-
" ": 10,
|
| 27 |
-
"!": 11,
|
| 28 |
-
"\"": 12,
|
| 29 |
-
"#": 13,
|
| 30 |
-
"$": 14,
|
| 31 |
-
"%": 15,
|
| 32 |
-
"&": 16,
|
| 33 |
-
"'": 17,
|
| 34 |
-
"(": 18,
|
| 35 |
-
")": 19,
|
| 36 |
-
"*": 20,
|
| 37 |
-
"+": 21,
|
| 38 |
-
",": 22,
|
| 39 |
-
"-": 23,
|
| 40 |
-
".": 24,
|
| 41 |
-
"/": 25,
|
| 42 |
-
"0": 26,
|
| 43 |
-
"1": 27,
|
| 44 |
-
"2": 28,
|
| 45 |
-
"3": 29,
|
| 46 |
-
"4": 30,
|
| 47 |
-
"5": 31,
|
| 48 |
-
"6": 32,
|
| 49 |
-
"7": 33,
|
| 50 |
-
"8": 34,
|
| 51 |
-
"9": 35,
|
| 52 |
-
":": 36,
|
| 53 |
-
";": 37,
|
| 54 |
-
"<": 38,
|
| 55 |
-
"=": 39,
|
| 56 |
-
">": 40,
|
| 57 |
-
"?": 41,
|
| 58 |
-
"@": 42,
|
| 59 |
-
"A": 43,
|
| 60 |
-
"B": 44,
|
| 61 |
-
"C": 45,
|
| 62 |
-
"D": 46,
|
| 63 |
-
"E": 47,
|
| 64 |
-
"F": 48,
|
| 65 |
-
"G": 49,
|
| 66 |
-
"H": 50,
|
| 67 |
-
"I": 51,
|
| 68 |
-
"J": 52,
|
| 69 |
-
"K": 53,
|
| 70 |
-
"L": 54,
|
| 71 |
-
"M": 55,
|
| 72 |
-
"N": 56,
|
| 73 |
-
"O": 57,
|
| 74 |
-
"P": 58,
|
| 75 |
-
"Q": 59,
|
| 76 |
-
"R": 60,
|
| 77 |
-
"S": 61,
|
| 78 |
-
"T": 62,
|
| 79 |
-
"U": 63,
|
| 80 |
-
"V": 64,
|
| 81 |
-
"W": 65,
|
| 82 |
-
"X": 66,
|
| 83 |
-
"Y": 67,
|
| 84 |
-
"Z": 68,
|
| 85 |
-
"[": 69,
|
| 86 |
-
"\\": 70,
|
| 87 |
-
"]": 71,
|
| 88 |
-
"^": 72,
|
| 89 |
-
"`": 73,
|
| 90 |
-
"a": 74,
|
| 91 |
-
"b": 75,
|
| 92 |
-
"c": 76,
|
| 93 |
-
"d": 77,
|
| 94 |
-
"e": 78,
|
| 95 |
-
"f": 79,
|
| 96 |
-
"g": 80,
|
| 97 |
-
"h": 81,
|
| 98 |
-
"i": 82,
|
| 99 |
-
"j": 83,
|
| 100 |
-
"k": 84,
|
| 101 |
-
"l": 85,
|
| 102 |
-
"m": 86,
|
| 103 |
-
"n": 87,
|
| 104 |
-
"o": 88,
|
| 105 |
-
"p": 89,
|
| 106 |
-
"q": 90,
|
| 107 |
-
"r": 91,
|
| 108 |
-
"s": 92,
|
| 109 |
-
"t": 93,
|
| 110 |
-
"u": 94,
|
| 111 |
-
"v": 95,
|
| 112 |
-
"w": 96,
|
| 113 |
-
"x": 97,
|
| 114 |
-
"y": 98,
|
| 115 |
-
"z": 99,
|
| 116 |
-
"{": 100,
|
| 117 |
-
"|": 101,
|
| 118 |
-
"}": 102,
|
| 119 |
-
"~": 103,
|
| 120 |
-
"¡": 104,
|
| 121 |
-
"¢": 105,
|
| 122 |
-
"£": 106,
|
| 123 |
-
"¥": 107,
|
| 124 |
-
"§": 108,
|
| 125 |
-
"ª": 109,
|
| 126 |
-
"«": 110,
|
| 127 |
-
"": 111,
|
| 128 |
-
"®": 112,
|
| 129 |
-
"°": 113,
|
| 130 |
-
"±": 114,
|
| 131 |
-
"²": 115,
|
| 132 |
-
"³": 116,
|
| 133 |
-
"´": 117,
|
| 134 |
-
"¶": 118,
|
| 135 |
-
"·": 119,
|
| 136 |
-
"¹": 120,
|
| 137 |
-
"º": 121,
|
| 138 |
-
"»": 122,
|
| 139 |
-
"¼": 123,
|
| 140 |
-
"½": 124,
|
| 141 |
-
"¾": 125,
|
| 142 |
-
"¿": 126,
|
| 143 |
-
"À": 127,
|
| 144 |
-
"Á": 128,
|
| 145 |
-
"Â": 129,
|
| 146 |
-
"Ä": 130,
|
| 147 |
-
"Å": 131,
|
| 148 |
-
"Æ": 132,
|
| 149 |
-
"Ç": 133,
|
| 150 |
-
"È": 134,
|
| 151 |
-
"É": 135,
|
| 152 |
-
"Ê": 136,
|
| 153 |
-
"Í": 137,
|
| 154 |
-
"Ï": 138,
|
| 155 |
-
"Ñ": 139,
|
| 156 |
-
"Ó": 140,
|
| 157 |
-
"Ô": 141,
|
| 158 |
-
"Ö": 142,
|
| 159 |
-
"×": 143,
|
| 160 |
-
"Ù": 144,
|
| 161 |
-
"Ú": 145,
|
| 162 |
-
"Ü": 146,
|
| 163 |
-
"Ý": 147,
|
| 164 |
-
"Þ": 148,
|
| 165 |
-
"ß": 149,
|
| 166 |
-
"à": 150,
|
| 167 |
-
"á": 151,
|
| 168 |
-
"â": 152,
|
| 169 |
-
"ã": 153,
|
| 170 |
-
"ä": 154,
|
| 171 |
-
"å": 155,
|
| 172 |
-
"æ": 156,
|
| 173 |
-
"ç": 157,
|
| 174 |
-
"è": 158,
|
| 175 |
-
"é": 159,
|
| 176 |
-
"ê": 160,
|
| 177 |
-
"ë": 161,
|
| 178 |
-
"ì": 162,
|
| 179 |
-
"í": 163,
|
| 180 |
-
"î": 164,
|
| 181 |
-
"ï": 165,
|
| 182 |
-
"ð": 166,
|
| 183 |
-
"ñ": 167,
|
| 184 |
-
"ò": 168,
|
| 185 |
-
"ó": 169,
|
| 186 |
-
"ô": 170,
|
| 187 |
-
"õ": 171,
|
| 188 |
-
"ö": 172,
|
| 189 |
-
"ø": 173,
|
| 190 |
-
"ù": 174,
|
| 191 |
-
"ú": 175,
|
| 192 |
-
"û": 176,
|
| 193 |
-
"ü": 177,
|
| 194 |
-
"ý": 178,
|
| 195 |
-
"þ": 179,
|
| 196 |
-
"ÿ": 180,
|
| 197 |
-
"ā": 181,
|
| 198 |
-
"Ă": 182,
|
| 199 |
-
"ă": 183,
|
| 200 |
-
"ą": 184,
|
| 201 |
-
"ć": 185,
|
| 202 |
-
"č": 186,
|
| 203 |
-
"Đ": 187,
|
| 204 |
-
"đ": 188,
|
| 205 |
-
"ē": 189,
|
| 206 |
-
"ė": 190,
|
| 207 |
-
"ę": 191,
|
| 208 |
-
"ğ": 192,
|
| 209 |
-
"ġ": 193,
|
| 210 |
-
"ĩ": 194,
|
| 211 |
-
"ī": 195,
|
| 212 |
-
"ļ": 196,
|
| 213 |
-
"ł": 197,
|
| 214 |
-
"ń": 198,
|
| 215 |
-
"Ō": 199,
|
| 216 |
-
"ō": 200,
|
| 217 |
-
"Œ": 201,
|
| 218 |
-
"œ": 202,
|
| 219 |
-
"ŕ": 203,
|
| 220 |
-
"ś": 204,
|
| 221 |
-
"ş": 205,
|
| 222 |
-
"š": 206,
|
| 223 |
-
"ŧ": 207,
|
| 224 |
-
"ũ": 208,
|
| 225 |
-
"ū": 209,
|
| 226 |
-
"ŭ": 210,
|
| 227 |
-
"ů": 211,
|
| 228 |
-
"ű": 212,
|
| 229 |
-
"ż": 213,
|
| 230 |
-
"Ž": 214,
|
| 231 |
-
"ž": 215,
|
| 232 |
-
"ſ": 216,
|
| 233 |
-
"Ơ": 217,
|
| 234 |
-
"ơ": 218,
|
| 235 |
-
"Ư": 219,
|
| 236 |
-
"ư": 220,
|
| 237 |
-
"ǁ": 221,
|
| 238 |
-
"ǂ": 222,
|
| 239 |
-
"ǐ": 223,
|
| 240 |
-
"ǘ": 224,
|
| 241 |
-
"ǧ": 225,
|
| 242 |
-
"ș": 226,
|
| 243 |
-
"Ȝ": 227,
|
| 244 |
-
"ȝ": 228,
|
| 245 |
-
"ȟ": 229,
|
| 246 |
-
"ɛ": 230,
|
| 247 |
-
"ʰ": 231,
|
| 248 |
-
"ˆ": 232,
|
| 249 |
-
"ˈ": 233,
|
| 250 |
-
"ˢ": 234,
|
| 251 |
-
"̃": 235,
|
| 252 |
-
"̍": 236,
|
| 253 |
-
"̣": 237,
|
| 254 |
-
"̱": 238,
|
| 255 |
-
"͈": 239,
|
| 256 |
-
"α": 240,
|
| 257 |
-
"β": 241,
|
| 258 |
-
"γ": 242,
|
| 259 |
-
"δ": 243,
|
| 260 |
-
"ε": 244,
|
| 261 |
-
"η": 245,
|
| 262 |
-
"κ": 246,
|
| 263 |
-
"μ": 247,
|
| 264 |
-
"ξ": 248,
|
| 265 |
-
"π": 249,
|
| 266 |
-
"ς": 250,
|
| 267 |
-
"σ": 251,
|
| 268 |
-
"χ": 252,
|
| 269 |
-
"ψ": 253,
|
| 270 |
-
"а": 254,
|
| 271 |
-
"д": 255,
|
| 272 |
-
"е": 256,
|
| 273 |
-
"з": 257,
|
| 274 |
-
"и": 258,
|
| 275 |
-
"к": 259,
|
| 276 |
-
"л": 260,
|
| 277 |
-
"о": 261,
|
| 278 |
-
"п": 262,
|
| 279 |
-
"р": 263,
|
| 280 |
-
"с": 264,
|
| 281 |
-
"т": 265,
|
| 282 |
-
"ч": 266,
|
| 283 |
-
"ь": 267,
|
| 284 |
-
"ง": 268,
|
| 285 |
-
"ย": 269,
|
| 286 |
-
"า": 270,
|
| 287 |
-
"่": 271,
|
| 288 |
-
"ည": 272,
|
| 289 |
-
"လ": 273,
|
| 290 |
-
"း": 274,
|
| 291 |
-
"်": 275,
|
| 292 |
-
"ᵈ": 276,
|
| 293 |
-
"ᵗ": 277,
|
| 294 |
-
"ḅ": 278,
|
| 295 |
-
"ḍ": 279,
|
| 296 |
-
"ḳ": 280,
|
| 297 |
-
"ṅ": 281,
|
| 298 |
-
"Ṭ": 282,
|
| 299 |
-
"ẓ": 283,
|
| 300 |
-
"ạ": 284,
|
| 301 |
-
"Ả": 285,
|
| 302 |
-
"ả": 286,
|
| 303 |
-
"Ấ": 287,
|
| 304 |
-
"ấ": 288,
|
| 305 |
-
"ầ": 289,
|
| 306 |
-
"ẩ": 290,
|
| 307 |
-
"ẫ": 291,
|
| 308 |
-
"ậ": 292,
|
| 309 |
-
"ắ": 293,
|
| 310 |
-
"ằ": 294,
|
| 311 |
-
"ẳ": 295,
|
| 312 |
-
"ẵ": 296,
|
| 313 |
-
"ặ": 297,
|
| 314 |
-
"ẹ": 298,
|
| 315 |
-
"ẻ": 299,
|
| 316 |
-
"ẽ": 300,
|
| 317 |
-
"Ế": 301,
|
| 318 |
-
"ế": 302,
|
| 319 |
-
"Ề": 303,
|
| 320 |
-
"ề": 304,
|
| 321 |
-
"ể": 305,
|
| 322 |
-
"ễ": 306,
|
| 323 |
-
"ệ": 307,
|
| 324 |
-
"ỉ": 308,
|
| 325 |
-
"ị": 309,
|
| 326 |
-
"ọ": 310,
|
| 327 |
-
"ỏ": 311,
|
| 328 |
-
"Ố": 312,
|
| 329 |
-
"ố": 313,
|
| 330 |
-
"Ồ": 314,
|
| 331 |
-
"ồ": 315,
|
| 332 |
-
"Ổ": 316,
|
| 333 |
-
"ổ": 317,
|
| 334 |
-
"ỗ": 318,
|
| 335 |
-
"Ộ": 319,
|
| 336 |
-
"ộ": 320,
|
| 337 |
-
"ớ": 321,
|
| 338 |
-
"Ờ": 322,
|
| 339 |
-
"ờ": 323,
|
| 340 |
-
"Ở": 324,
|
| 341 |
-
"ở": 325,
|
| 342 |
-
"ỡ": 326,
|
| 343 |
-
"ợ": 327,
|
| 344 |
-
"ụ": 328,
|
| 345 |
-
"ủ": 329,
|
| 346 |
-
"Ứ": 330,
|
| 347 |
-
"ứ": 331,
|
| 348 |
-
"Ừ": 332,
|
| 349 |
-
"ừ": 333,
|
| 350 |
-
"ử": 334,
|
| 351 |
-
"ữ": 335,
|
| 352 |
-
"ự": 336,
|
| 353 |
-
"ỳ": 337,
|
| 354 |
-
"ỵ": 338,
|
| 355 |
-
"Ỷ": 339,
|
| 356 |
-
"ỷ": 340,
|
| 357 |
-
"ỹ": 341,
|
| 358 |
-
"ὖ": 342,
|
| 359 |
-
"ὼ": 343,
|
| 360 |
-
"ῆ": 344,
|
| 361 |
-
"": 345,
|
| 362 |
-
"‐": 346,
|
| 363 |
-
"—": 347,
|
| 364 |
-
"―": 348,
|
| 365 |
-
"†": 349,
|
| 366 |
-
"•": 350,
|
| 367 |
-
"…": 351,
|
| 368 |
-
"‰": 352,
|
| 369 |
-
"′": 353,
|
| 370 |
-
"″": 354,
|
| 371 |
-
"⁄": 355,
|
| 372 |
-
"⁷": 356,
|
| 373 |
-
"⁻": 357,
|
| 374 |
-
"₀": 358,
|
| 375 |
-
"₁": 359,
|
| 376 |
-
"₂": 360,
|
| 377 |
-
"₃": 361,
|
| 378 |
-
"₄": 362,
|
| 379 |
-
"₅": 363,
|
| 380 |
-
"₆": 364,
|
| 381 |
-
"₇": 365,
|
| 382 |
-
"₈": 366,
|
| 383 |
-
"€": 367,
|
| 384 |
-
"₹": 368,
|
| 385 |
-
"⅓": 369,
|
| 386 |
-
"⅔": 370,
|
| 387 |
-
"⅖": 371,
|
| 388 |
-
"⅙": 372,
|
| 389 |
-
"⅛": 373,
|
| 390 |
-
"⅝": 374,
|
| 391 |
-
"√": 375,
|
| 392 |
-
"│": 376,
|
| 393 |
-
"♦": 377,
|
| 394 |
-
"⚓": 378,
|
| 395 |
-
"✈": 379,
|
| 396 |
-
"✠": 380,
|
| 397 |
-
"✨": 381,
|
| 398 |
-
"⟙": 382,
|
| 399 |
-
"⸺": 383,
|
| 400 |
-
"。": 384,
|
| 401 |
-
"〈": 385,
|
| 402 |
-
"な": 386,
|
| 403 |
-
"三": 387,
|
| 404 |
-
"次": 388,
|
| 405 |
-
"肿": 389,
|
| 406 |
-
"臃": 390,
|
| 407 |
-
"구": 391,
|
| 408 |
-
"로": 392,
|
| 409 |
-
"요": 393,
|
| 410 |
-
"ﷺ": 394,
|
| 411 |
-
"️": 395,
|
| 412 |
-
"𝑥": 396,
|
| 413 |
-
"𝑦": 397,
|
| 414 |
-
"🌊": 398,
|
| 415 |
-
"🌿": 399,
|
| 416 |
-
"💦": 400,
|
| 417 |
-
"💨": 401
|
| 418 |
-
},
|
| 419 |
-
"phoneme_symbols": {
|
| 420 |
-
"0": "_",
|
| 421 |
-
"1": "<de>",
|
| 422 |
-
"2": "<en_gb>",
|
| 423 |
-
"3": "<en_us>",
|
| 424 |
-
"4": "<es>",
|
| 425 |
-
"5": "<fr>",
|
| 426 |
-
"6": "<it>",
|
| 427 |
-
"7": "<vi>",
|
| 428 |
-
"8": "<end>",
|
| 429 |
-
"9": " ",
|
| 430 |
-
"10": "!",
|
| 431 |
-
"11": ",",
|
| 432 |
-
"12": "-",
|
| 433 |
-
"13": ".",
|
| 434 |
-
"14": "1",
|
| 435 |
-
"15": "2",
|
| 436 |
-
"16": "4",
|
| 437 |
-
"17": "5",
|
| 438 |
-
"18": "6",
|
| 439 |
-
"19": "7",
|
| 440 |
-
"20": ":",
|
| 441 |
-
"21": ";",
|
| 442 |
-
"22": "?",
|
| 443 |
-
"23": "a",
|
| 444 |
-
"24": "b",
|
| 445 |
-
"25": "c",
|
| 446 |
-
"26": "d",
|
| 447 |
-
"27": "e",
|
| 448 |
-
"28": "f",
|
| 449 |
-
"29": "h",
|
| 450 |
-
"30": "i",
|
| 451 |
-
"31": "j",
|
| 452 |
-
"32": "k",
|
| 453 |
-
"33": "l",
|
| 454 |
-
"34": "m",
|
| 455 |
-
"35": "n",
|
| 456 |
-
"36": "o",
|
| 457 |
-
"37": "p",
|
| 458 |
-
"38": "q",
|
| 459 |
-
"39": "r",
|
| 460 |
-
"40": "s",
|
| 461 |
-
"41": "t",
|
| 462 |
-
"42": "u",
|
| 463 |
-
"43": "v",
|
| 464 |
-
"44": "w",
|
| 465 |
-
"45": "x",
|
| 466 |
-
"46": "y",
|
| 467 |
-
"47": "z",
|
| 468 |
-
"48": "«",
|
| 469 |
-
"49": "»",
|
| 470 |
-
"50": "æ",
|
| 471 |
-
"51": "ç",
|
| 472 |
-
"52": "ð",
|
| 473 |
-
"53": "ø",
|
| 474 |
-
"54": "ŋ",
|
| 475 |
-
"55": "œ",
|
| 476 |
-
"56": "ɐ",
|
| 477 |
-
"57": "ɑ",
|
| 478 |
-
"58": "ɒ",
|
| 479 |
-
"59": "ɔ",
|
| 480 |
-
"60": "ɗ",
|
| 481 |
-
"61": "ə",
|
| 482 |
-
"62": "ɚ",
|
| 483 |
-
"63": "ɛ",
|
| 484 |
-
"64": "ɜ",
|
| 485 |
-
"65": "ɟ",
|
| 486 |
-
"66": "ɡ",
|
| 487 |
-
"67": "ɣ",
|
| 488 |
-
"68": "ɨ",
|
| 489 |
-
"69": "ɪ",
|
| 490 |
-
"70": "ɬ",
|
| 491 |
-
"71": "ɯ",
|
| 492 |
-
"72": "ɲ",
|
| 493 |
-
"73": "ɹ",
|
| 494 |
-
"74": "ɾ",
|
| 495 |
-
"75": "ʁ",
|
| 496 |
-
"76": "ʃ",
|
| 497 |
-
"77": "ʊ",
|
| 498 |
-
"78": "ʌ",
|
| 499 |
-
"79": "ʎ",
|
| 500 |
-
"80": "ʐ",
|
| 501 |
-
"81": "ʒ",
|
| 502 |
-
"82": "ʔ",
|
| 503 |
-
"83": "ʝ",
|
| 504 |
-
"84": "ʲ",
|
| 505 |
-
"85": "ˈ",
|
| 506 |
-
"86": "ˌ",
|
| 507 |
-
"87": "ː",
|
| 508 |
-
"88": "̃",
|
| 509 |
-
"89": "̩",
|
| 510 |
-
"90": "̪",
|
| 511 |
-
"91": "β",
|
| 512 |
-
"92": "θ",
|
| 513 |
-
"93": "ᵻ",
|
| 514 |
-
"94": "—",
|
| 515 |
-
"95": "…"
|
| 516 |
-
}
|
| 517 |
-
}
|
|
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|
coreml/assets/languages.json
DELETED
|
@@ -1,30 +0,0 @@
|
|
| 1 |
-
[
|
| 2 |
-
{
|
| 3 |
-
"id": "en_us",
|
| 4 |
-
"index": 0
|
| 5 |
-
},
|
| 6 |
-
{
|
| 7 |
-
"id": "en_gb",
|
| 8 |
-
"index": 1
|
| 9 |
-
},
|
| 10 |
-
{
|
| 11 |
-
"id": "es",
|
| 12 |
-
"index": 2
|
| 13 |
-
},
|
| 14 |
-
{
|
| 15 |
-
"id": "it",
|
| 16 |
-
"index": 3
|
| 17 |
-
},
|
| 18 |
-
{
|
| 19 |
-
"id": "fr",
|
| 20 |
-
"index": 4
|
| 21 |
-
},
|
| 22 |
-
{
|
| 23 |
-
"id": "de",
|
| 24 |
-
"index": 5
|
| 25 |
-
},
|
| 26 |
-
{
|
| 27 |
-
"id": "vi",
|
| 28 |
-
"index": 6
|
| 29 |
-
}
|
| 30 |
-
]
|
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|
coreml/assets/phone_vocab.json
DELETED
|
@@ -1,111 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"schema_version": 1,
|
| 3 |
-
"mode": "scyllasband_ipa_phone_symbols",
|
| 4 |
-
"special_tokens": [
|
| 5 |
-
"<pad>",
|
| 6 |
-
"<unk>",
|
| 7 |
-
"<sil>",
|
| 8 |
-
"<pause_comma>",
|
| 9 |
-
"<pause_semicolon>",
|
| 10 |
-
"<pause_colon>",
|
| 11 |
-
"<pause_dash>",
|
| 12 |
-
"<ellipsis>",
|
| 13 |
-
"<end_stmt>",
|
| 14 |
-
"<end_question>",
|
| 15 |
-
"<end_exclaim>",
|
| 16 |
-
"<ctx_sentence_start>",
|
| 17 |
-
"<ctx_continuation>",
|
| 18 |
-
"<ctx_sentence_end>",
|
| 19 |
-
"<ctx_chunk_continue>"
|
| 20 |
-
],
|
| 21 |
-
"vocab_size": 87,
|
| 22 |
-
"token_to_id": {
|
| 23 |
-
"<pad>": 0,
|
| 24 |
-
"<unk>": 1,
|
| 25 |
-
"<sil>": 2,
|
| 26 |
-
"<pause_comma>": 3,
|
| 27 |
-
"<pause_semicolon>": 4,
|
| 28 |
-
"<pause_colon>": 5,
|
| 29 |
-
"<pause_dash>": 6,
|
| 30 |
-
"<ellipsis>": 7,
|
| 31 |
-
"<end_stmt>": 8,
|
| 32 |
-
"<end_question>": 9,
|
| 33 |
-
"<end_exclaim>": 10,
|
| 34 |
-
"<ctx_sentence_start>": 11,
|
| 35 |
-
"<ctx_continuation>": 12,
|
| 36 |
-
"<ctx_sentence_end>": 13,
|
| 37 |
-
"<ctx_chunk_continue>": 14,
|
| 38 |
-
"1": 15,
|
| 39 |
-
"2": 16,
|
| 40 |
-
"4": 17,
|
| 41 |
-
"5": 18,
|
| 42 |
-
"6": 19,
|
| 43 |
-
"7": 20,
|
| 44 |
-
"a": 21,
|
| 45 |
-
"b": 22,
|
| 46 |
-
"c": 23,
|
| 47 |
-
"d": 24,
|
| 48 |
-
"e": 25,
|
| 49 |
-
"f": 26,
|
| 50 |
-
"h": 27,
|
| 51 |
-
"i": 28,
|
| 52 |
-
"j": 29,
|
| 53 |
-
"k": 30,
|
| 54 |
-
"l": 31,
|
| 55 |
-
"m": 32,
|
| 56 |
-
"n": 33,
|
| 57 |
-
"o": 34,
|
| 58 |
-
"p": 35,
|
| 59 |
-
"r": 36,
|
| 60 |
-
"s": 37,
|
| 61 |
-
"t": 38,
|
| 62 |
-
"u": 39,
|
| 63 |
-
"v": 40,
|
| 64 |
-
"w": 41,
|
| 65 |
-
"x": 42,
|
| 66 |
-
"y": 43,
|
| 67 |
-
"z": 44,
|
| 68 |
-
"æ": 45,
|
| 69 |
-
"ç": 46,
|
| 70 |
-
"ð": 47,
|
| 71 |
-
"ø": 48,
|
| 72 |
-
"ŋ": 49,
|
| 73 |
-
"œ": 50,
|
| 74 |
-
"ɐ": 51,
|
| 75 |
-
"ɑ": 52,
|
| 76 |
-
"ɒ": 53,
|
| 77 |
-
"ɔ": 54,
|
| 78 |
-
"ɗ": 55,
|
| 79 |
-
"ə": 56,
|
| 80 |
-
"ɚ": 57,
|
| 81 |
-
"ɛ": 58,
|
| 82 |
-
"ɜ": 59,
|
| 83 |
-
"ɟ": 60,
|
| 84 |
-
"ɡ": 61,
|
| 85 |
-
"ɣ": 62,
|
| 86 |
-
"ɪ": 63,
|
| 87 |
-
"ɯ": 64,
|
| 88 |
-
"ɲ": 65,
|
| 89 |
-
"ɹ": 66,
|
| 90 |
-
"ɾ": 67,
|
| 91 |
-
"ʁ": 68,
|
| 92 |
-
"ʃ": 69,
|
| 93 |
-
"ʊ": 70,
|
| 94 |
-
"ʌ": 71,
|
| 95 |
-
"ʎ": 72,
|
| 96 |
-
"ʐ": 73,
|
| 97 |
-
"ʒ": 74,
|
| 98 |
-
"ʔ": 75,
|
| 99 |
-
"ʝ": 76,
|
| 100 |
-
"ʲ": 77,
|
| 101 |
-
"ˈ": 78,
|
| 102 |
-
"ˌ": 79,
|
| 103 |
-
"ː": 80,
|
| 104 |
-
"̃": 81,
|
| 105 |
-
"̩": 82,
|
| 106 |
-
"̪": 83,
|
| 107 |
-
"β": 84,
|
| 108 |
-
"θ": 85,
|
| 109 |
-
"ᵻ": 86
|
| 110 |
-
}
|
| 111 |
-
}
|
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|
coreml/assets/voices.json
DELETED
|
@@ -1,58 +0,0 @@
|
|
| 1 |
-
[
|
| 2 |
-
{
|
| 3 |
-
"id": "ariadne",
|
| 4 |
-
"index": 0
|
| 5 |
-
},
|
| 6 |
-
{
|
| 7 |
-
"id": "felix",
|
| 8 |
-
"index": 1
|
| 9 |
-
},
|
| 10 |
-
{
|
| 11 |
-
"id": "gwen",
|
| 12 |
-
"index": 2
|
| 13 |
-
},
|
| 14 |
-
{
|
| 15 |
-
"id": "ink",
|
| 16 |
-
"index": 3
|
| 17 |
-
},
|
| 18 |
-
{
|
| 19 |
-
"id": "max",
|
| 20 |
-
"index": 4
|
| 21 |
-
},
|
| 22 |
-
{
|
| 23 |
-
"id": "orpheus",
|
| 24 |
-
"index": 5
|
| 25 |
-
},
|
| 26 |
-
{
|
| 27 |
-
"id": "rex",
|
| 28 |
-
"index": 6
|
| 29 |
-
},
|
| 30 |
-
{
|
| 31 |
-
"id": "scylla",
|
| 32 |
-
"index": 7
|
| 33 |
-
},
|
| 34 |
-
{
|
| 35 |
-
"id": "stone",
|
| 36 |
-
"index": 8
|
| 37 |
-
},
|
| 38 |
-
{
|
| 39 |
-
"id": "tuesday",
|
| 40 |
-
"index": 9
|
| 41 |
-
},
|
| 42 |
-
{
|
| 43 |
-
"id": "thistle",
|
| 44 |
-
"index": 10
|
| 45 |
-
},
|
| 46 |
-
{
|
| 47 |
-
"id": "kincade",
|
| 48 |
-
"index": 11
|
| 49 |
-
},
|
| 50 |
-
{
|
| 51 |
-
"id": "poppy",
|
| 52 |
-
"index": 12
|
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