Silverdaw Vocal Quality Pack — Mel-Band RoFormer (ONNX)
A host-STFT ONNX export of a Mel-Band RoFormer vocal-separation model, used by
Silverdaw as its optional higher-quality
vocals model. Silverdaw produces the isolated vocal stem with this model; the
instrumental side is reconstructed as the residual (mix − vocals).
The torch.stft / torch.istft are stripped out of the graph: the ONNX core
consumes a precomputed STFT and returns per-bin complex masks, and the host
application runs the STFT, applies the masks, and runs the iSTFT.
This repository is a re-host of
musetric/vocal-separation-roformer-onnx
so Silverdaw can serve the file from a stable, self-owned location. The weights
and the export are unchanged (byte-identical; same SHA-256).
Files
| File | Size | Notes |
|---|---|---|
syhft_core_folded_fp16_webgpu.onnx | ~5 MB | The neural-core graph. |
syhft_core_folded_fp16_webgpu.onnx.data | ~707 MB | External fp16 weights. Must sit beside the .onnx — the graph references it by exact filename; ONNX Runtime loads it automatically. |
I/O contract (host pipeline)
- STFT —
n_fft = 2048,hop = 441, 44.1 kHz, periodic Hann window, reflect ("centre") padding byn_fft/2. One chunk =hop × (frames − 1)samples (≈ 11 s,frames = 1101). - Tensor —
[1, 2050, 1101, 2]= (batch,(n_fft/2 + 1) × channels, frames, complex), with packed bin index2 × freq + channel. - Mask — the model returns a complex mask of the same shape; the host applies it by complex multiplication onto the STFT, then runs an envelope-normalised iSTFT and a chunk-level overlap-add. Track-level recombination is a Hamming overlap-add (8 s step over the ~11 s window) with peak normalisation.
Provenance & license
License: MIT.
- Weights — © Kimberley Jensen / SYH99999
(
SYH99999/MelBandRoformerBigSYHFTV1Fast; "Kim Vocal 2" / SYHFT lineage). - ONNX export — © musetric
(
musetric/vocal-separation-roformer-onnx). - Architecture — Mel-Band RoFormer (Wang, Lu, Won; arXiv:2310.01809) /
lucidrains/BS-RoFormer(MIT).
Note on training data: the upstream training-data provenance is undocumented; the weights are distributed by their author under MIT. This re-host treats them as MIT-licensed accordingly, the same posture taken by other openly-distributed separation models.
Intended use
Designed for offline (non-real-time) vocal separation inside a desktop DAW. It is not a real-time audio-callback model — run it on a worker/background thread.