Sidon CoreML
On-device speech restoration (denoise + dereverberation + bandwidth restoration) for Apple Silicon, exported to Core ML (runs on the Neural Engine). Turns a noisy/reverberant clip into studio-quality 48 kHz speech —...
Model source
- Kind
- Other
- File size
- 100–612 MB
- Base model
- sarulab-speech/sidon-v0.1
- Version
- vWeight
- Updated
- Oct 22, 2026
- Source
- Hugging Face
Source description
Sidon — Core ML (speech restoration / dereverberation)
On-device speech restoration (denoise + dereverberation + bandwidth restoration) for Apple Silicon, exported to Core ML (runs on the Neural Engine). Turns a noisy/reverberant clip into studio-quality 48 kHz speech — ideal for cleaning a voice-cloning reference before TTS, since it preserves speaker identity.
Two-stage pipeline:
16 kHz audio → [w2v-BERT log-mel front-end] → predictor (w2v-BERT 2.0, 8 layers)
→ cleansed features [1, T, 1024] → DAC decoder → 48 kHz audio
Variants
| variant | predictor | vocoder | bundle size | peak RAM | RTF (ANE) |
|---|---|---|---|---|---|
| fp16 | FP16 | FP16 | 713 MB | 1711 MB | ~120× |
| int8 | INT8 (k-means palettized) | FP16 | 407 MB | 1321 MB | ~110× |
Total 246 M params (predictor 193.6 M + DAC vocoder 52.4 M). Output sample rate 48 kHz. int8 keeps the vocoder at FP16 (audio quality); only the predictor is palettized.
Files
| path | description |
|---|---|
fp16/Sidon-Predictor.mlpackage | w2v-BERT 2.0 (8L) + merged LoRA → features (FP16) |
fp16/Sidon-Vocoder.mlpackage | DAC decoder → 48 kHz audio (FP16) |
int8/Sidon-Predictor.mlpackage | predictor, 8-bit palettized |
int8/Sidon-Vocoder.mlpackage | DAC decoder (FP16) |
Quality (no-reference MOS, 10 s clip)
DNSMOS P.835 (SIG/BAK/OVRL, higher = better) and UTMOS (naturalness, 1–5):
| audio | SIG | BAK | OVRL | UTMOS | speaker cos |
|---|---|---|---|---|---|
| input (reverberant) | 3.46 | 3.40 | 2.90 | 2.99 | — |
| fp16 | 3.53 | 4.09 | 3.28 | 3.32 | 0.797 |
| int8 | 3.54 | 4.11 | 3.29 | 3.23 | 0.796 |
Restoration lifts OVRL 2.90 → 3.29 (driven by BAK 3.40 → 4.11 — reverb removed). Quantization is near-lossless on DNSMOS and speaker similarity; UTMOS shows a small naturalness cost (fp16 −0.09, int8 −0.17). Numbers are a single clip — average over a set for a definitive figure.
Front-end
The graphs take input_features [1, T, 160] from the w2v-BERT 2.0 SeamlessM4T
feature extractor (16 kHz input). The sequence length is fixed (T = 499 ≈ 10 s) —
chunk longer audio in the runtime. The front-end and chunking are handled by
speech-swift.
Usage
Use via the speech-swift Apple SDK, e.g.:
speech enhance noisy-reference.wav -o clean.wav # restore / dereverb on-device
// See speech-swift for the full API (loads the predictor + vocoder, runs the
// log-mel front-end, chunks, and writes 48 kHz audio).
Source
Exported from Sidon (sarulab-speech), checkpoint sidon-v0.1; paper arXiv:2509.17052. Base SSL encoder: facebook/w2v-bert-2.0; vocoder: DAC (descript-audio-codec). All components are MIT-licensed.
Links
- speech-swift — Apple (Swift) SDK
- soniqo.audio — website
- blog
Sources
1 source
Sources
1 sourceVerified Aug 7
Model artifacts
4 artifacts
Model artifacts
4 artifactsfp16/Sidon-Predictor.mlpackage/Data/com.apple.CoreML/weights/weight.bin
bin · 612 MB · SHA-256 de80298709bf…dfc2 · Hugging Face
Downloadfp16/Sidon-Vocoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin
bin · 100 MB · SHA-256 90bb3483aa8f…4f25 · Hugging Face
Downloadint8/Sidon-Predictor.mlpackage/Data/com.apple.CoreML/weights/weight.bin
bin · 306 MB · SHA-256 1cd544698e71…9f17 · Hugging Face
Downloadint8/Sidon-Vocoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin
bin · 100 MB · SHA-256 90bb3483aa8f…4f25 · Hugging Face
DownloadSource excerpts
2 excerpts
Source excerpts
2 excerpts--- license: mit language: - multilingual tags: - speech-restoration - dereverberation - speech-enhancement - voice-cloning - coreml - on-device base_model: sarulab-speech/sidon-v0.1 library_name: coreml pipeline_tag: audio-to-audio --- # Sidon — Core ML (speech restoration / dereverberation) On-device **speech restoration** (denoise + dereverberation + bandwidth restoration) for Apple Silicon, exported to Core ML (runs on the Neural Engine). Turns a noisy/reverberant clip into studio-quality **48 kHz** speech — ideal for cleaning a **voice-cloning reference** before TTS, since it preserves speaker identity. Two-stage pipeline: ``` 16 kHz audio → [w2v-BERT log-mel front-end] → predictor (w2v-BERT 2.0, 8 layers) → cleansed features [1, T, 1024] → DAC decoder → 48 kHz audio ``` ## Variants | variant | predictor | vocoder | bundle size | peak RAM | RTF (ANE) | | ------- | --------- | ------- | ----------- | -------- | --------- | | **fp16** | FP16 | FP16 | 713 MB | 1711 MB | ~120× | | **int8** | INT8 (k-means palettized) | FP16 | **407 MB** | **1321 MB** | ~110× | Total 246 M params (predictor 193.6 M + DAC vocoder 52.4 M). Output sample rate 48 kHz. int8 keeps the vocoder at FP16 (audio quality); only the predictor is palettized. ## Files | path | description | | ---- | ----------- | | `fp16/Sidon-Predictor.mlpackage` | w2v-BERT 2.0 (8L) + merged LoRA → features (FP16) | | `fp16/Sidon-Vocoder.mlpackage` | DAC decoder → 48 kHz audio (FP16) | | `int8/Sidon-Predictor.mlpackage` | predictor, 8-bit palettized | | `int8/Sidon-Vocoder.mlpackage` | DAC decoder (FP16) | ## Quality (no-reference MOS, 10 s clip) DNSMOS P.835 (SIG/BAK/OVRL, higher = better) and UTMOS (naturalness, 1–5): | audio | SIG | BAK | OVRL | UTMOS | speaker cos | | ----- | --- | --- | ---- | ----- | ----------- | | input (reverberant) | 3.46 | 3.40 | 2.90 | 2.99 | — | | **fp16** | 3.53 | 4.09 | 3.28 | 3.32 | 0.797 | | **int8** | 3.54 | 4.11 | 3.29 | 3.23 | 0.796 | Restoration lifts OVRL 2.90 → 3.29 (driven by **BAK 3.40 → 4.11** — reverb removed). Quantization is near-lossless on DNSMOS and speaker similarity; UTMOS shows a small naturalness cost (fp16 −0.09, int8 −0.17). Numbers are a single clip — average over a set for a definitive figure. ## Front-end The graphs take `input_features [1, T, 160]` from the **w2v-BERT 2.0 SeamlessM4T feature extractor** (16 kHz input). The seque...
Source context: 6523 downloads · 0 likes · Pipeline audio-to-audio · Library coreml · Repo aufklarer/Sidon-CoreML
