Add Core AI and Core ML bundles for v3-20261104; model card with Apple bundles and v3-20261104 performance
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- README.md +34 -3
- SHA256SUMS.json +286 -2
- coreai/assets/fixed_references.json +0 -0
- coreai/assets/g2p/export_config.json +33 -0
- coreai/assets/g2p/language_map.json +47 -0
- coreai/assets/g2p/normalization.json +40 -0
- coreai/assets/g2p/phoneme_dict.json +9 -0
- coreai/assets/g2p/pronunciation_overrides.json +4 -0
- coreai/assets/g2p/tokenizer.json +517 -0
- coreai/assets/languages.json +30 -0
- coreai/assets/phone_vocab.json +111 -0
- coreai/assets/voices.json +58 -0
- coreai/coreai/duration_predictor.aimodel/main.hash +1 -0
- coreai/coreai/duration_predictor.aimodel/main.mlirb +3 -0
- coreai/coreai/duration_predictor.aimodel/metadata.json +5 -0
- coreai/coreai/g2p.aimodel/main.hash +1 -0
- coreai/coreai/g2p.aimodel/main.mlirb +3 -0
- coreai/coreai/g2p.aimodel/metadata.json +5 -0
- coreai/coreai/pitch_context_encoder.aimodel/main.hash +1 -0
- coreai/coreai/pitch_context_encoder.aimodel/main.mlirb +3 -0
- coreai/coreai/pitch_context_encoder.aimodel/metadata.json +5 -0
- coreai/coreai/pitch_estimator.aimodel/main.hash +1 -0
- coreai/coreai/pitch_estimator.aimodel/main.mlirb +3 -0
- coreai/coreai/pitch_estimator.aimodel/metadata.json +5 -0
- coreai/coreai/vector_context_encoder.aimodel/main.hash +1 -0
- coreai/coreai/vector_context_encoder.aimodel/main.mlirb +3 -0
- coreai/coreai/vector_context_encoder.aimodel/metadata.json +5 -0
- coreai/coreai/vector_estimator.aimodel/main.hash +2 -0
- coreai/coreai/vector_estimator.aimodel/main.mlirb +3 -0
- coreai/coreai/vector_estimator.aimodel/metadata.json +5 -0
- coreai/coreai/vocoder.aimodel/main.hash +1 -0
- coreai/coreai/vocoder.aimodel/main.mlirb +3 -0
- coreai/coreai/vocoder.aimodel/metadata.json +5 -0
- coreai/manifest.json +1483 -0
- coreml/assets/fixed_references.json +0 -0
- coreml/assets/g2p/export_config.json +33 -0
- coreml/assets/g2p/language_map.json +47 -0
- coreml/assets/g2p/normalization.json +40 -0
- coreml/assets/g2p/phoneme_dict.json +9 -0
- coreml/assets/g2p/pronunciation_overrides.json +4 -0
- coreml/assets/g2p/tokenizer.json +517 -0
- coreml/assets/languages.json +30 -0
- coreml/assets/phone_vocab.json +111 -0
- coreml/assets/voices.json +58 -0
- coreml/coreml/duration_predictor.mlmodelc/analytics/coremldata.bin +3 -0
- coreml/coreml/duration_predictor.mlmodelc/coremldata.bin +3 -0
- coreml/coreml/duration_predictor.mlmodelc/model.mil +0 -0
- coreml/coreml/duration_predictor.mlmodelc/weights/weight.bin +3 -0
- coreml/coreml/g2p.mlmodelc/analytics/coremldata.bin +3 -0
- coreml/coreml/g2p.mlmodelc/coremldata.bin +3 -0
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, 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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-o hello.wav "It is a pleasure to meet you."
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```
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## Controls
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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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- 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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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, coreml, coreai, 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. Tag `v3-20261104-apple` adds Core ML and Core AI bundles of the same model; the runtime downloads from `v3-20261104-apple`. 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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-o hello.wav "It is a pleasure to meet you."
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```
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The default download is the Core ML bundle on an Apple silicon Mac and the LiteRT bundle elsewhere, installed under `scyllasband/models/<bundle>`. A Mac that can build apps for iOS, iPadOS or visionOS 27 is also offered the Core AI bundle those apps use. `--flavor coreml`, `--flavor coreai`, `--flavor litert` or `--flavor onnx` choose explicitly. Downloads pin a release tag.
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## Controls
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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 and pitch predictor: Euler, 4 steps each) 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) | 2.73 s | 1.34 s | 30 ms | ~170× |
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| | Core ML | CPU | 2.17 s | 0.33 s | 221 ms | ~20× |
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| | Core AI | GPU (default) | 5.80 s | 0.46 s | 32 ms | ~150× |
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| | Core AI | Neural Engine | 34.2 s | 0.60 s | 316 ms | ~20× |
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| | Core AI | CPU | 3.54 s | 0.93 s | 844 ms | ~5.0× |
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| | LiteRT | CPU | 0.41 s | 0.30 s | 105 ms | ~34× |
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| | ONNX Runtime | CPU | 0.88 s | 0.85 s | 216 ms | ~21× |
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| iPhone 17 Pro Max (iOS 27.2) | Core ML | GPU (default) | 15.5 s | 1.79 s | 77 ms | ~65× |
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| | Core ML | CPU | 2.87 s | 0.49 s | 294 ms | ~15× |
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| | Core AI | GPU (default) | 18.5 s | 0.59 s | 70 ms | ~68× |
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| | Core AI | Neural Engine | 8.00 s | 0.74 s | 367 ms | ~17× |
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| | Core AI | CPU | 7.58 s | 1.16 s | 1010 ms | ~4.1× |
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| Galaxy Z Fold 8, Snapdragon SM8850 (Android 17) | LiteRT | CPU | 0.81 s | 0.52 s | 120 ms | ~27× |
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| | ONNX Runtime | CPU | 1.85 s | 1.89 s | 461 ms | ~9.2× |
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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 4 times, then the flow 4 times. Against `v3-20261103`, whose pitch predictor ran 16 times, warm first audio is 30–45 % shorter on every device and bundle (12–13 % with the Neural Engine placement).
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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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- 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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- 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 (0.016–0.045 semitones RMS against 0.051), 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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SHA256SUMS.json
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"bytes": 11357
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},
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"README.md": {
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"sha256": "
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"bytes":
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},
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"THIRD_PARTY_NOTICES.md": {
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"sha256": "757a3eca5f8284352d471887af2c31b65c5d23d2a642f0ae77e6a11c150dba39",
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"bytes": 2829
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|
| 265 |
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|
| 274 |
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| 279 |
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| 280 |
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|
| 281 |
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|
| 282 |
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| 283 |
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| 284 |
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|
| 285 |
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|
| 287 |
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| 288 |
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| 289 |
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| 290 |
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| 291 |
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| 292 |
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| 294 |
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| 295 |
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| 296 |
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|
| 297 |
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|
| 298 |
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|
| 299 |
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| 300 |
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coreai/assets/fixed_references.json
ADDED
|
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coreai/assets/g2p/export_config.json
ADDED
|
@@ -0,0 +1,33 @@
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|
| 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 |
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"onnx_quantization": "none",
|
| 23 |
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"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 |
+
}
|
coreai/assets/g2p/language_map.json
ADDED
|
@@ -0,0 +1,47 @@
|
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|
|
|
|
| 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 |
+
}
|
coreai/assets/g2p/normalization.json
ADDED
|
@@ -0,0 +1,40 @@
|
|
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|
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|
|
|
|
|
| 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 |
+
}
|
coreai/assets/g2p/phoneme_dict.json
ADDED
|
@@ -0,0 +1,9 @@
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| 1 |
+
{
|
| 2 |
+
"de": {},
|
| 3 |
+
"en_gb": {},
|
| 4 |
+
"en_us": {},
|
| 5 |
+
"es": {},
|
| 6 |
+
"fr": {},
|
| 7 |
+
"it": {},
|
| 8 |
+
"vi": {}
|
| 9 |
+
}
|
coreai/assets/g2p/pronunciation_overrides.json
ADDED
|
@@ -0,0 +1,4 @@
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|
|
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|
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| 1 |
+
{
|
| 2 |
+
"format": "scyllasband_g2p_pronunciation_overrides_v1",
|
| 3 |
+
"languages": {}
|
| 4 |
+
}
|
coreai/assets/g2p/tokenizer.json
ADDED
|
@@ -0,0 +1,517 @@
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|
| 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 |
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" ": 10,
|
| 27 |
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"!": 11,
|
| 28 |
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"\"": 12,
|
| 29 |
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"#": 13,
|
| 30 |
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"$": 14,
|
| 31 |
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"%": 15,
|
| 32 |
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"&": 16,
|
| 33 |
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"'": 17,
|
| 34 |
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"(": 18,
|
| 35 |
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")": 19,
|
| 36 |
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"*": 20,
|
| 37 |
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"+": 21,
|
| 38 |
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",": 22,
|
| 39 |
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|
| 40 |
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".": 24,
|
| 41 |
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"/": 25,
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| 42 |
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| 43 |
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|
| 44 |
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"2": 28,
|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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":": 36,
|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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">": 40,
|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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"B": 44,
|
| 61 |
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| 62 |
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|
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|
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|
| 68 |
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| 69 |
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|
| 70 |
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|
| 71 |
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|
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| 75 |
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| 76 |
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|
| 77 |
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|
| 78 |
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"T": 62,
|
| 79 |
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"U": 63,
|
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"V": 64,
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"]": 71,
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| 108 |
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| 109 |
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| 110 |
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"|": 101,
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"}": 102,
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| 119 |
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"¡": 104,
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"¢": 105,
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| 122 |
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"£": 106,
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"ª": 109,
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"": 111,
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"®": 112,
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"°": 113,
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"²": 115,
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| 139 |
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"¼": 123,
|
| 140 |
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"½": 124,
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| 141 |
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"¾": 125,
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| 142 |
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"¿": 126,
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| 143 |
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"À": 127,
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| 144 |
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"Á": 128,
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| 145 |
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"Â": 129,
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| 146 |
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"Ä": 130,
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| 147 |
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"Å": 131,
|
| 148 |
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"Æ": 132,
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| 149 |
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"Ç": 133,
|
| 150 |
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|
| 151 |
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"É": 135,
|
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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,
|
| 159 |
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"×": 143,
|
| 160 |
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"Ù": 144,
|
| 161 |
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"Ú": 145,
|
| 162 |
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"Ü": 146,
|
| 163 |
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"Ý": 147,
|
| 164 |
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"Þ": 148,
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| 165 |
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"ß": 149,
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"à": 150,
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"á": 151,
|
| 168 |
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"â": 152,
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"ã": 153,
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| 170 |
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"ä": 154,
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"å": 155,
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"ç": 157,
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"ë": 161,
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"ø": 173,
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"ā": 181,
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"Ă": 182,
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"ă": 183,
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"ą": 184,
|
| 201 |
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"ć": 185,
|
| 202 |
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"č": 186,
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| 203 |
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"Đ": 187,
|
| 204 |
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"đ": 188,
|
| 205 |
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"ē": 189,
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| 206 |
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"ė": 190,
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"ę": 191,
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"ğ": 192,
|
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"ġ": 193,
|
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"ĩ": 194,
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"ī": 195,
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"Ō": 199,
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"า": 270,
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"ည": 272,
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"လ": 273,
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"်": 275,
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"ᵗ": 277,
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"Ṭ": 282,
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"ẓ": 283,
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"ạ": 284,
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"Ả": 285,
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"ả": 286,
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"ấ": 288,
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"ầ": 289,
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"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 |
+
}
|
coreai/assets/languages.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
]
|
coreai/assets/phone_vocab.json
ADDED
|
@@ -0,0 +1,111 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
}
|
coreai/assets/voices.json
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
{
|
| 2 |
+
"architecture": "scyllasband-duration-flow",
|
| 3 |
+
"assets": {
|
| 4 |
+
"fixed_delivery_references": "assets/fixed_references.json",
|
| 5 |
+
"g2p_config": "assets/g2p/export_config.json",
|
| 6 |
+
"g2p_language_map": "assets/g2p/language_map.json",
|
| 7 |
+
"g2p_normalization": "assets/g2p/normalization.json",
|
| 8 |
+
"g2p_phoneme_dict": "assets/g2p/phoneme_dict.json",
|
| 9 |
+
"g2p_pronunciation_overrides": "assets/g2p/pronunciation_overrides.json",
|
| 10 |
+
"g2p_tokenizer": "assets/g2p/tokenizer.json",
|
| 11 |
+
"language_index": "assets/languages.json",
|
| 12 |
+
"phone_vocab": "assets/phone_vocab.json",
|
| 13 |
+
"voice_index": "assets/voices.json"
|
| 14 |
+
},
|
| 15 |
+
"audio": {
|
| 16 |
+
"hop_length": 256,
|
| 17 |
+
"latent_dim": 24,
|
| 18 |
+
"latent_hop_length": 512,
|
| 19 |
+
"n_mels": 100,
|
| 20 |
+
"sample_rate": 24000
|
| 21 |
+
},
|
| 22 |
+
"components": {
|
| 23 |
+
"g2p_64": {
|
| 24 |
+
"artifacts": {
|
| 25 |
+
"coreai": {
|
| 26 |
+
"format": "coreai",
|
| 27 |
+
"path": "coreai/g2p.aimodel",
|
| 28 |
+
"function": "g2p_64"
|
| 29 |
+
}
|
| 30 |
+
},
|
| 31 |
+
"inputs": [
|
| 32 |
+
"text"
|
| 33 |
+
],
|
| 34 |
+
"outputs": [
|
| 35 |
+
"logits"
|
| 36 |
+
],
|
| 37 |
+
"required": false
|
| 38 |
+
},
|
| 39 |
+
"g2p_128": {
|
| 40 |
+
"artifacts": {
|
| 41 |
+
"coreai": {
|
| 42 |
+
"format": "coreai",
|
| 43 |
+
"path": "coreai/g2p.aimodel",
|
| 44 |
+
"function": "g2p_128"
|
| 45 |
+
}
|
| 46 |
+
},
|
| 47 |
+
"inputs": [
|
| 48 |
+
"text"
|
| 49 |
+
],
|
| 50 |
+
"outputs": [
|
| 51 |
+
"logits"
|
| 52 |
+
],
|
| 53 |
+
"required": false
|
| 54 |
+
},
|
| 55 |
+
"g2p_256": {
|
| 56 |
+
"artifacts": {
|
| 57 |
+
"coreai": {
|
| 58 |
+
"format": "coreai",
|
| 59 |
+
"path": "coreai/g2p.aimodel",
|
| 60 |
+
"function": "g2p_256"
|
| 61 |
+
}
|
| 62 |
+
},
|
| 63 |
+
"inputs": [
|
| 64 |
+
"text"
|
| 65 |
+
],
|
| 66 |
+
"outputs": [
|
| 67 |
+
"logits"
|
| 68 |
+
],
|
| 69 |
+
"required": false
|
| 70 |
+
},
|
| 71 |
+
"g2p": {
|
| 72 |
+
"artifacts": {
|
| 73 |
+
"coreai": {
|
| 74 |
+
"format": "coreai",
|
| 75 |
+
"path": "coreai/g2p.aimodel",
|
| 76 |
+
"function": "g2p"
|
| 77 |
+
}
|
| 78 |
+
},
|
| 79 |
+
"inputs": [
|
| 80 |
+
"text"
|
| 81 |
+
],
|
| 82 |
+
"outputs": [
|
| 83 |
+
"logits"
|
| 84 |
+
],
|
| 85 |
+
"required": true
|
| 86 |
+
},
|
| 87 |
+
"duration_predictor": {
|
| 88 |
+
"artifacts": {
|
| 89 |
+
"coreai": {
|
| 90 |
+
"format": "coreai",
|
| 91 |
+
"path": "coreai/duration_predictor.aimodel",
|
| 92 |
+
"function": "duration_predictor"
|
| 93 |
+
}
|
| 94 |
+
},
|
| 95 |
+
"inputs": [
|
| 96 |
+
"span_phone_ids",
|
| 97 |
+
"span_segment_ids",
|
| 98 |
+
"span_mask",
|
| 99 |
+
"voice_id",
|
| 100 |
+
"language_id",
|
| 101 |
+
"delivery_values",
|
| 102 |
+
"delivery_present"
|
| 103 |
+
],
|
| 104 |
+
"outputs": [
|
| 105 |
+
"durations"
|
| 106 |
+
],
|
| 107 |
+
"required": true
|
| 108 |
+
},
|
| 109 |
+
"vector_context_encoder": {
|
| 110 |
+
"artifacts": {
|
| 111 |
+
"coreai": {
|
| 112 |
+
"format": "coreai",
|
| 113 |
+
"path": "coreai/vector_context_encoder.aimodel",
|
| 114 |
+
"function": "vector_context_encoder"
|
| 115 |
+
}
|
| 116 |
+
},
|
| 117 |
+
"inputs": [
|
| 118 |
+
"span_context_phone_ids",
|
| 119 |
+
"span_context_segment_ids",
|
| 120 |
+
"span_context_mask"
|
| 121 |
+
],
|
| 122 |
+
"outputs": [
|
| 123 |
+
"span_context_hidden"
|
| 124 |
+
],
|
| 125 |
+
"required": true
|
| 126 |
+
},
|
| 127 |
+
"pitch_context_encoder": {
|
| 128 |
+
"artifacts": {
|
| 129 |
+
"coreai": {
|
| 130 |
+
"format": "coreai",
|
| 131 |
+
"path": "coreai/pitch_context_encoder.aimodel",
|
| 132 |
+
"function": "pitch_context_encoder"
|
| 133 |
+
}
|
| 134 |
+
},
|
| 135 |
+
"inputs": [
|
| 136 |
+
"span_context_phone_ids",
|
| 137 |
+
"span_context_segment_ids",
|
| 138 |
+
"span_context_mask"
|
| 139 |
+
],
|
| 140 |
+
"outputs": [
|
| 141 |
+
"span_context_hidden"
|
| 142 |
+
],
|
| 143 |
+
"required": true
|
| 144 |
+
},
|
| 145 |
+
"vector_estimator_128": {
|
| 146 |
+
"artifacts": {
|
| 147 |
+
"coreai": {
|
| 148 |
+
"format": "coreai",
|
| 149 |
+
"path": "coreai/vector_estimator.aimodel",
|
| 150 |
+
"function": "vector_estimator_128"
|
| 151 |
+
}
|
| 152 |
+
},
|
| 153 |
+
"inputs": [
|
| 154 |
+
"noise",
|
| 155 |
+
"time",
|
| 156 |
+
"expanded_phone_ids",
|
| 157 |
+
"voice_id",
|
| 158 |
+
"language_id",
|
| 159 |
+
"delivery_values",
|
| 160 |
+
"delivery_present",
|
| 161 |
+
"latent_mask",
|
| 162 |
+
"span_context_hidden",
|
| 163 |
+
"prefix_latents",
|
| 164 |
+
"prefix_mask",
|
| 165 |
+
"expanded_boundary_event_ids",
|
| 166 |
+
"expanded_modifier_event_ids",
|
| 167 |
+
"expanded_phone_phase",
|
| 168 |
+
"expanded_phone_log_duration",
|
| 169 |
+
"expanded_sentence_type_ids",
|
| 170 |
+
"expanded_melody"
|
| 171 |
+
],
|
| 172 |
+
"outputs": [
|
| 173 |
+
"velocity"
|
| 174 |
+
],
|
| 175 |
+
"required": false
|
| 176 |
+
},
|
| 177 |
+
"pitch_estimator_128": {
|
| 178 |
+
"artifacts": {
|
| 179 |
+
"coreai": {
|
| 180 |
+
"format": "coreai",
|
| 181 |
+
"path": "coreai/pitch_estimator.aimodel",
|
| 182 |
+
"function": "pitch_estimator_128"
|
| 183 |
+
}
|
| 184 |
+
},
|
| 185 |
+
"inputs": [
|
| 186 |
+
"noise",
|
| 187 |
+
"time",
|
| 188 |
+
"expanded_phone_ids",
|
| 189 |
+
"voice_id",
|
| 190 |
+
"language_id",
|
| 191 |
+
"delivery_values",
|
| 192 |
+
"delivery_present",
|
| 193 |
+
"latent_mask",
|
| 194 |
+
"span_context_hidden",
|
| 195 |
+
"expanded_boundary_event_ids",
|
| 196 |
+
"expanded_modifier_event_ids",
|
| 197 |
+
"expanded_phone_phase",
|
| 198 |
+
"expanded_phone_log_duration",
|
| 199 |
+
"expanded_sentence_type_ids"
|
| 200 |
+
],
|
| 201 |
+
"outputs": [
|
| 202 |
+
"velocity"
|
| 203 |
+
],
|
| 204 |
+
"required": false
|
| 205 |
+
},
|
| 206 |
+
"vocoder_128": {
|
| 207 |
+
"artifacts": {
|
| 208 |
+
"coreai": {
|
| 209 |
+
"format": "coreai",
|
| 210 |
+
"path": "coreai/vocoder.aimodel",
|
| 211 |
+
"function": "vocoder_128"
|
| 212 |
+
}
|
| 213 |
+
},
|
| 214 |
+
"inputs": [
|
| 215 |
+
"latents",
|
| 216 |
+
"latent_mask",
|
| 217 |
+
"voice_id",
|
| 218 |
+
"language_id",
|
| 219 |
+
"emotion_id"
|
| 220 |
+
],
|
| 221 |
+
"outputs": [
|
| 222 |
+
"audio"
|
| 223 |
+
],
|
| 224 |
+
"required": false
|
| 225 |
+
},
|
| 226 |
+
"vector_estimator_256": {
|
| 227 |
+
"artifacts": {
|
| 228 |
+
"coreai": {
|
| 229 |
+
"format": "coreai",
|
| 230 |
+
"path": "coreai/vector_estimator.aimodel",
|
| 231 |
+
"function": "vector_estimator_256"
|
| 232 |
+
}
|
| 233 |
+
},
|
| 234 |
+
"inputs": [
|
| 235 |
+
"noise",
|
| 236 |
+
"time",
|
| 237 |
+
"expanded_phone_ids",
|
| 238 |
+
"voice_id",
|
| 239 |
+
"language_id",
|
| 240 |
+
"delivery_values",
|
| 241 |
+
"delivery_present",
|
| 242 |
+
"latent_mask",
|
| 243 |
+
"span_context_hidden",
|
| 244 |
+
"prefix_latents",
|
| 245 |
+
"prefix_mask",
|
| 246 |
+
"expanded_boundary_event_ids",
|
| 247 |
+
"expanded_modifier_event_ids",
|
| 248 |
+
"expanded_phone_phase",
|
| 249 |
+
"expanded_phone_log_duration",
|
| 250 |
+
"expanded_sentence_type_ids",
|
| 251 |
+
"expanded_melody"
|
| 252 |
+
],
|
| 253 |
+
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|
| 254 |
+
"velocity"
|
| 255 |
+
],
|
| 256 |
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|
| 257 |
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|
| 258 |
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|
| 259 |
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|
| 260 |
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|
| 261 |
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|
| 262 |
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|
| 263 |
+
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|
| 264 |
+
}
|
| 265 |
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|
| 266 |
+
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|
| 267 |
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|
| 268 |
+
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|
| 269 |
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|
| 270 |
+
"voice_id",
|
| 271 |
+
"language_id",
|
| 272 |
+
"delivery_values",
|
| 273 |
+
"delivery_present",
|
| 274 |
+
"latent_mask",
|
| 275 |
+
"span_context_hidden",
|
| 276 |
+
"expanded_boundary_event_ids",
|
| 277 |
+
"expanded_modifier_event_ids",
|
| 278 |
+
"expanded_phone_phase",
|
| 279 |
+
"expanded_phone_log_duration",
|
| 280 |
+
"expanded_sentence_type_ids"
|
| 281 |
+
],
|
| 282 |
+
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|
| 283 |
+
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|
| 284 |
+
],
|
| 285 |
+
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|
| 286 |
+
},
|
| 287 |
+
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|
| 288 |
+
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|
| 289 |
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|
| 290 |
+
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|
| 291 |
+
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|
| 292 |
+
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|
| 293 |
+
}
|
| 294 |
+
},
|
| 295 |
+
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|
| 296 |
+
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|
| 297 |
+
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|
| 298 |
+
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|
| 299 |
+
"language_id",
|
| 300 |
+
"emotion_id"
|
| 301 |
+
],
|
| 302 |
+
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|
| 303 |
+
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|
| 304 |
+
],
|
| 305 |
+
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|
| 306 |
+
},
|
| 307 |
+
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|
| 308 |
+
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|
| 309 |
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|
| 310 |
+
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|
| 311 |
+
"path": "coreai/vector_estimator.aimodel",
|
| 312 |
+
"function": "vector_estimator_384"
|
| 313 |
+
}
|
| 314 |
+
},
|
| 315 |
+
"inputs": [
|
| 316 |
+
"noise",
|
| 317 |
+
"time",
|
| 318 |
+
"expanded_phone_ids",
|
| 319 |
+
"voice_id",
|
| 320 |
+
"language_id",
|
| 321 |
+
"delivery_values",
|
| 322 |
+
"delivery_present",
|
| 323 |
+
"latent_mask",
|
| 324 |
+
"span_context_hidden",
|
| 325 |
+
"prefix_latents",
|
| 326 |
+
"prefix_mask",
|
| 327 |
+
"expanded_boundary_event_ids",
|
| 328 |
+
"expanded_modifier_event_ids",
|
| 329 |
+
"expanded_phone_phase",
|
| 330 |
+
"expanded_phone_log_duration",
|
| 331 |
+
"expanded_sentence_type_ids",
|
| 332 |
+
"expanded_melody"
|
| 333 |
+
],
|
| 334 |
+
"outputs": [
|
| 335 |
+
"velocity"
|
| 336 |
+
],
|
| 337 |
+
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|
| 338 |
+
},
|
| 339 |
+
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|
| 340 |
+
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|
| 341 |
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|
| 342 |
+
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|
| 343 |
+
"path": "coreai/pitch_estimator.aimodel",
|
| 344 |
+
"function": "pitch_estimator_384"
|
| 345 |
+
}
|
| 346 |
+
},
|
| 347 |
+
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|
| 348 |
+
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|
| 349 |
+
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|
| 350 |
+
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|
| 351 |
+
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|
| 352 |
+
"language_id",
|
| 353 |
+
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|
| 354 |
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|
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|
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|
| 631 |
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|
| 632 |
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|
| 633 |
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|
| 634 |
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|
| 635 |
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|
| 636 |
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|
| 637 |
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|
| 638 |
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|
| 639 |
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|
| 640 |
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|
| 641 |
+
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|
| 642 |
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|
| 643 |
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|
| 644 |
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],
|
| 645 |
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|
| 646 |
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|
| 647 |
+
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|
| 648 |
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|
| 649 |
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"chunk_continue"
|
| 650 |
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],
|
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"clause_continuation_fallback_phone": "<pause_comma>",
|
| 652 |
+
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|
| 653 |
+
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|
| 654 |
+
"continuation": "<ctx_continuation>",
|
| 655 |
+
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|
| 656 |
+
"sentence_start": "<ctx_sentence_start>"
|
| 657 |
+
},
|
| 658 |
+
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|
| 659 |
+
"default_boundary_before": "sentence_start",
|
| 660 |
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|
| 661 |
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|
| 662 |
+
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|
| 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 |
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},
|
| 676 |
+
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|
| 677 |
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|
| 678 |
+
"mode": "overlap"
|
| 679 |
+
},
|
| 680 |
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|
| 681 |
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|
| 682 |
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|
| 683 |
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|
| 684 |
+
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|
| 685 |
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|
| 686 |
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},
|
| 687 |
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|
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|
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|
| 690 |
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|
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|
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|
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|
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|
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|
| 696 |
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},
|
| 697 |
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|
| 698 |
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|
| 699 |
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|
| 700 |
+
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|
| 701 |
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},
|
| 702 |
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|
| 703 |
+
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|
| 704 |
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|
| 705 |
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|
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|
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|
| 708 |
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|
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|
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|
| 711 |
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},
|
| 712 |
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|
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|
| 714 |
+
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|
| 715 |
+
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|
| 716 |
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},
|
| 717 |
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|
| 718 |
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|
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|
| 720 |
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|
| 721 |
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|
| 722 |
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|
| 723 |
+
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|
| 724 |
+
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|
| 725 |
+
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|
| 726 |
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},
|
| 727 |
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|
| 728 |
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|
| 729 |
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|
| 730 |
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|
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|
| 732 |
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|
| 733 |
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|
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|
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|
| 736 |
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},
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|
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|
| 740 |
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|
| 741 |
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},
|
| 742 |
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|
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|
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|
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|
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|
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}
|
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},
|
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|
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|
| 755 |
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|
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-2.0,
|
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2.0
|
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|
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2.0
|
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-2.0,
|
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2.0
|
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]
|
| 768 |
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},
|
| 769 |
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"release_id": "v3-20261104",
|
| 770 |
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"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 |
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"slots": [
|
| 773 |
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"intensity",
|
| 774 |
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"pace"
|
| 775 |
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],
|
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"units": {
|
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"intensity": "sd",
|
| 778 |
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"pace": "sd",
|
| 779 |
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"pitch": "semitones"
|
| 780 |
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},
|
| 781 |
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"voice_locales": {
|
| 782 |
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"ariadne": [
|
| 783 |
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"de",
|
| 784 |
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"en_us",
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| 785 |
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"es",
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"fr",
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| 787 |
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"it",
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"vi"
|
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],
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"de",
|
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"en_us",
|
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|
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"fr",
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"it",
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"vi"
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],
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"gwen": [
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"de",
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"en_us",
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"es",
|
| 802 |
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"fr",
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"it",
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"vi"
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],
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"ink": [
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"de",
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"en_gb",
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"fr",
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"it",
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"vi"
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],
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"fr",
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"it",
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| 820 |
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"vi"
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],
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"de",
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"fr",
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| 827 |
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"it",
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"vi"
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],
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"de",
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"en_gb",
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"es",
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"fr",
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"it",
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"vi"
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"fr",
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"it",
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"vi"
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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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"it",
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| 1339 |
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|
| 1340 |
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],
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| 1341 |
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"default"
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| 1344 |
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| 1346 |
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| 1347 |
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| 1348 |
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|
| 1349 |
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"id": "rex",
|
| 1350 |
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| 1351 |
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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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"default"
|
| 1361 |
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]
|
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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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"de",
|
| 1369 |
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"en_us",
|
| 1370 |
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"es",
|
| 1371 |
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"fr",
|
| 1372 |
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"it",
|
| 1373 |
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"vi"
|
| 1374 |
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],
|
| 1375 |
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"name": "scylla",
|
| 1376 |
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"styles": [
|
| 1377 |
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"default"
|
| 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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"id": "stone",
|
| 1384 |
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|
| 1385 |
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"de",
|
| 1386 |
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"en_us",
|
| 1387 |
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"es",
|
| 1388 |
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"fr",
|
| 1389 |
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"it",
|
| 1390 |
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"vi"
|
| 1391 |
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],
|
| 1392 |
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"name": "stone",
|
| 1393 |
+
"styles": [
|
| 1394 |
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"default"
|
| 1395 |
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]
|
| 1396 |
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},
|
| 1397 |
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{
|
| 1398 |
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"default_language": "en_gb",
|
| 1399 |
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|
| 1400 |
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"id": "tuesday",
|
| 1401 |
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"languages": [
|
| 1402 |
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"de",
|
| 1403 |
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"en_gb",
|
| 1404 |
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"es",
|
| 1405 |
+
"fr",
|
| 1406 |
+
"it",
|
| 1407 |
+
"vi"
|
| 1408 |
+
],
|
| 1409 |
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"name": "tuesday",
|
| 1410 |
+
"styles": [
|
| 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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"default_language": "en_us",
|
| 1416 |
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|
| 1417 |
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"id": "thistle",
|
| 1418 |
+
"languages": [
|
| 1419 |
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"en_us",
|
| 1420 |
+
"es",
|
| 1421 |
+
"de",
|
| 1422 |
+
"fr",
|
| 1423 |
+
"it",
|
| 1424 |
+
"vi"
|
| 1425 |
+
],
|
| 1426 |
+
"name": "thistle",
|
| 1427 |
+
"styles": [
|
| 1428 |
+
"default"
|
| 1429 |
+
]
|
| 1430 |
+
},
|
| 1431 |
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{
|
| 1432 |
+
"default_language": "en_us",
|
| 1433 |
+
"embedding_path": null,
|
| 1434 |
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"id": "kincade",
|
| 1435 |
+
"languages": [
|
| 1436 |
+
"en_us",
|
| 1437 |
+
"es",
|
| 1438 |
+
"de",
|
| 1439 |
+
"fr",
|
| 1440 |
+
"it",
|
| 1441 |
+
"vi"
|
| 1442 |
+
],
|
| 1443 |
+
"name": "kincade",
|
| 1444 |
+
"styles": [
|
| 1445 |
+
"default"
|
| 1446 |
+
]
|
| 1447 |
+
},
|
| 1448 |
+
{
|
| 1449 |
+
"default_language": "en_us",
|
| 1450 |
+
"embedding_path": null,
|
| 1451 |
+
"id": "poppy",
|
| 1452 |
+
"languages": [
|
| 1453 |
+
"en_us",
|
| 1454 |
+
"es",
|
| 1455 |
+
"de",
|
| 1456 |
+
"fr",
|
| 1457 |
+
"it",
|
| 1458 |
+
"vi"
|
| 1459 |
+
],
|
| 1460 |
+
"name": "poppy",
|
| 1461 |
+
"styles": [
|
| 1462 |
+
"default"
|
| 1463 |
+
]
|
| 1464 |
+
},
|
| 1465 |
+
{
|
| 1466 |
+
"default_language": "en_us",
|
| 1467 |
+
"embedding_path": null,
|
| 1468 |
+
"id": "priya",
|
| 1469 |
+
"languages": [
|
| 1470 |
+
"en_us",
|
| 1471 |
+
"es",
|
| 1472 |
+
"de",
|
| 1473 |
+
"fr",
|
| 1474 |
+
"it",
|
| 1475 |
+
"vi"
|
| 1476 |
+
],
|
| 1477 |
+
"name": "priya",
|
| 1478 |
+
"styles": [
|
| 1479 |
+
"default"
|
| 1480 |
+
]
|
| 1481 |
+
}
|
| 1482 |
+
]
|
| 1483 |
+
}
|
coreml/assets/fixed_references.json
ADDED
|
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|
|
|
coreml/assets/g2p/export_config.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
}
|
coreml/assets/g2p/language_map.json
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
}
|
coreml/assets/g2p/normalization.json
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
}
|
coreml/assets/g2p/phoneme_dict.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"de": {},
|
| 3 |
+
"en_gb": {},
|
| 4 |
+
"en_us": {},
|
| 5 |
+
"es": {},
|
| 6 |
+
"fr": {},
|
| 7 |
+
"it": {},
|
| 8 |
+
"vi": {}
|
| 9 |
+
}
|
coreml/assets/g2p/pronunciation_overrides.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"format": "scyllasband_g2p_pronunciation_overrides_v1",
|
| 3 |
+
"languages": {}
|
| 4 |
+
}
|
coreml/assets/g2p/tokenizer.json
ADDED
|
@@ -0,0 +1,517 @@
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
|
|
|
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|
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|
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|
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|
|
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|
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|
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|
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|
|
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|
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|
|
|
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|
|
|
|
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|
|
|
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|
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|
|
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|
|
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|
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|
|
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|
|
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|
|
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
|
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|
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|
|
|
|
|
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|
|
|
|
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|
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|
|
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|
|
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|
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|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
}
|
coreml/assets/languages.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
]
|
coreml/assets/phone_vocab.json
ADDED
|
@@ -0,0 +1,111 @@
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|
| 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 |
+
}
|
coreml/assets/voices.json
ADDED
|
@@ -0,0 +1,58 @@
|
|
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|
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|
|
|
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|
|
|
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|
|
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|
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|
|
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|
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|
|
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|
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|
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|
|
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|
|
|
|
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|
|
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|
|
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|
|
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|
|
|
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|
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|
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|
|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
| 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
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"id": "priya",
|
| 56 |
+
"index": 13
|
| 57 |
+
}
|
| 58 |
+
]
|
coreml/coreml/duration_predictor.mlmodelc/analytics/coremldata.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ff481a2cd37fa03e16ecda507b033ec1f76b69469819a3259e3574bf9ebe72ab
|
| 3 |
+
size 243
|
coreml/coreml/duration_predictor.mlmodelc/coremldata.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:06bfdf64690cc0de4e97a0af486c678bf498b4b4224159fd40af1ba8ae296c60
|
| 3 |
+
size 554
|
coreml/coreml/duration_predictor.mlmodelc/model.mil
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
coreml/coreml/duration_predictor.mlmodelc/weights/weight.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6e6314ef13cc2edaffdc96840a5bf4c7e729630fb22e562f5383be48e3458038
|
| 3 |
+
size 10580928
|
coreml/coreml/g2p.mlmodelc/analytics/coremldata.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9047c70b85b77b6d386f1e6188323f82daf023854c2ae4c7018f8406c04320fb
|
| 3 |
+
size 243
|
coreml/coreml/g2p.mlmodelc/coremldata.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f5fc8bee0186f33fa14d35a59a58ec3393676d07bdf03802a3836d806662cd03
|
| 3 |
+
size 377
|