| --- |
| license: apache-2.0 |
| base_model: |
| - sahilmahendrakar/Paradee-8M-v1.1 |
| - sahilmahendrakar/Paradee-8M-v1.0 |
| base_model_relation: quantized |
| pipeline_tag: text-to-speech |
| language: [en] |
| tags: [glade, coreai, apple-silicon, neural-engine, paradee, kokoro, text-to-speech] |
| --- |
| |
| # Paradee-8M for Glade |
|
|
| Model assets and runtime configuration for |
| [Paradee-8M v1.1](https://huggingface.co/sahilmahendrakar/Paradee-8M-v1.1) |
| in Glade. This single-voice American English distillation of Kokoro accepts ordinary |
| text or explicit phonemes and produces mono 24 kHz PCM with its trained Heart voice. |
|
|
| The default v1.1 checkpoint contains **7,884,450 learned parameters**: **4,231,828** in the text |
| side and **3,652,622** in the decoder, including the **990,018**-parameter waveform |
| head. Counts come from the original modules before materializing weight |
| normalization. Fixed signal-processing tables and the bundled text frontend are |
| counted separately. |
|
|
| ## Packages |
|
|
| Both releases preserve the upstream sentence-first policy and the full 510 |
| phonemes plus two boundary tokens. Each sentence is phonemized in context; |
| oversized sentences split at the last fitting phoneme-space. The app catalog |
| does not offer a short-chunk profile. |
|
|
| | Location | Release | Waveform architecture | Download | |
| | --- | --- | --- | ---: | |
| | Root | 1.1 | Source-filter head | 22.2 MB | |
| | `v1.0/` | 1.0 | Upsampling generator, ISTFT and phase correction | 23.0 MB | |
|
|
| V1.0 contains 8,080,406 learned parameters. Its text/prosody/acoustic stages use |
| INT8 weights and FP16 activations; the GPU vocoder uses FP16 weights with FP32 |
| normalization. It requests ANE for text and GPU for the other three stages. |
| Its original native phase filter and waveform reconstruction are retained. |
| Both packages include the 11.0 MB American English frontend, FP16 CPU parameter |
| storage with FP32 recurrence, and 2,048 acoustic frames. Select one complete |
| package from a single repository snapshot. |
|
|
| ## V1.1 text and execution |
|
|
| The default 512/2,048 package is **22.2 MB**, including the **11.0 MB** American |
| English Misaki frontend: trained spaCy |
| tokenization/POS, contextual lexical processing, number handling and the original |
| BART pronunciation fallback. Text input works directly through Glade without a |
| separate frontend download or Python runtime. |
|
|
| Four Core AI assets implement the text network, pitch/noise prediction, acoustic |
| trunk and frame-rate waveform head. Their INT8 weights use FP16 activations, with |
| ANE text/head and GPU prosody/acoustic in the default 512-token/2,048-frame profile. |
| CPU parameters use FP16 storage and FP32 recurrence. This hybrid configuration |
| avoids failed ANE specialization attempts for the larger prosody/acoustic assets |
| observed on the M3 Mac. |
|
|
| V1.1's waveform head predicts harmonic gains, phase adjustments, noise gains and |
| pulse shifts at 80 frames per second. Native Swift reconstructs the original |
| 64-harmonic source, pitch-modulated white noise and short-window burst noise. |
| Its centered, reflect-padded STFT grids use 600-point/150-sample and |
| 150-point/75-sample transforms. Fundamental phase accumulates in FP64 before |
| FP32 interpolation. Exact frequency-warp matrices and Hann windows contain |
| 26,654 FP32 values, stored in `signal.f32` with the layout in `signal.json`. |
|
|
| Schema 2 `metadata.json` specifies 512 token slots, including boundaries, and |
| 2,048 acoustic frames, along with the masking and signal conventions. Four |
| `.aimodel` assets and `cpu.f16`/`cpu.json` supply the learned stages. Padding is |
| excluded from utterance normalization and masked between convolutions; waveform |
| reconstruction consumes only valid head rows. Text follows the sentence-first policy above. A duration overflow retries smaller parts |
| before PCM delivery, preserving the complete input. Device specialization occurs |
| on first use; compiled device caches are not included. |
|
|
| ## Qualification |
|
|
| Both full-context packages use upstream sentence-first planning: full sentences |
| up to 510 phonemes plus two boundary tokens, with oversized sentences divided at |
| the last fitting phoneme-space. The following Release results are from an M3 |
| MacBook Air with 16 GB, macOS 27.0.1 and Swift 6.4. They are medians of three |
| warm ordinary-text passes, including Misaki, planning and full waveform synthesis. |
| Initial preparation, warmup and WAV writing are separate. The voice is Heart, |
| speed 1 and seed 42, with one synthesis lane and complete delivery. |
|
|
| | Release | Input | Generated audio | Median synthesis | RTFx | |
| | --- | --- | ---: | ---: | ---: | |
| | v1.0 | Sunlight, three short sentences | 6.900 s | 494.57 ms | 13.95× | |
| | v1.1 | Sunlight, three short sentences | 6.900 s | 121.29 ms | 56.89× | |
| | v1.0 | Complete JFK reference transcript | 748.750 s | 13.794 s | 54.28× | |
| | v1.1 | Complete JFK reference transcript | 748.750 s | 8.276 s | 90.47× | |
|
|
| RTFx uses actual generated audio duration. Both releases generate 12 min 28.75 s |
| for the complete JFK text. These matched planning and capacity measurements do |
| not establish a perceptual quality ranking. |
|
|
| Bounded M3 Instruments captures of both exact packages measured five calls per |
| neural stage: |
|
|
| | Release | Stage | Calls | ANE predictions | GPU intervals | |
| | --- | --- | ---: | ---: | ---: | |
| | v1.0 | Text | 5 | 5 | 0 | |
| | v1.0 | Prosody | 5 | 0 | 23 | |
| | v1.0 | Acoustic | 5 | 0 | 29 | |
| | v1.0 | Vocoder | 5 | 0 | 66 | |
| | v1.1 | Text | 5 | 5 | 0 | |
| | v1.1 | Prosody | 5 | 0 | 23 | |
| | v1.1 | Acoustic | 5 | 0 | 25 | |
| | v1.1 | Head | 5 | 5 | 0 | |
|
|
| These intervals verify execution placement, not arithmetic utilization. |
|
|
| New complete JFK waveforms from these exact packages were transcribed by Cohere |
| Transcribe revision `76b8b23e8607f35f0265a23d481b338fb0e26aea`, with Whisper |
| English normalization: |
|
|
| | Release | Word errors / normalized reference words | WER | |
| | --- | ---: | ---: | |
| | v1.0 | 16 / 2,220 | 0.72% | |
| | v1.1 | 15 / 2,220 | 0.68% | |
|
|
| These checks confirm coherent full-text coverage and include recognition errors; |
| they are not perceptual or voice-similarity scores. Full-pipeline peak memory has |
| not been measured. The older short-context and capacity-first measurements use |
| different planning or profiles and are not measurements of these packages. |
| Current iPhone and Watch qualification is pending. |
|
|
|
|
| ## Attribution |
|
|
| V1.1 weights: `330617ad1f097b4f6b02c103e54b39006c090b45`. |
| V1.1 implementation: `606e16e12f53bc6dfb814fe89fef338726687161`. |
| V1.0 weights: `f662642d44c03c17588e4176469c54d462c0b623`. |
| V1.0 implementation: `9c8b4d7504cbee7e64de2d0341bb690f0b0ab708`. |
| The original model/code and Misaki use Apache-2.0; trained frontend components |
| retain their bundled notices. No additional training is performed. Download |
| weights and configuration from one repository snapshot. |
|
|
