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kramp/ito-master-onnx
ito-master-onnx is a audio-to-audio model from kramp. Use it for the audio-to-audio task on the model card, and read the license before you ship it in a product. It is set up for onnx. The card lists the license as cc-by-nc-4.0.
ONNX export of the white-box ITO-Master music-mastering model, for running the parameter predictor in the browser with ONNX Runtime Web. Used by the audio-master Space.
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From the Hugging Face model README
ONNX export of the white-box ITO-Master music-mastering model, for running the parameter predictor in the browser with ONNX Runtime Web. Used by the audio-master Space.
fxencoder.onnx — reference audio [1,2,N] (44.1 kHz stereo) → style embedding [1,2048]mastering_tcn.onnx — input audio [1,2,N] + embedding [1,2048] → 46 normalized
parameters [1,46] in [0,1]config.json — the exact parameter order and per-parameter min/max for de-normalization
(value = norm*(max-min)+min). The differentiable EQ / distortion / multiband-comp / gain /
imager / limiter chain is re-implemented natively (Web Audio); only the learned predictor is
exported here.Exported with a Hugging Face Job (torch.onnx.export, opset 17), validated against PyTorch
(max abs error < 1e-3) with onnxruntime.
Model & weights: ITO-Master, Koo et al., Sony Research — github.com/SonyResearch/ITO-Master, jhtonyKoo/ITO-Master. Licensed CC BY-NC 4.0 (non-commercial); this derivative export inherits the same license.