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README.md

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+---
+license: cc-by-nc-4.0
+tags:
+  - audio-to-audio
+  - mastering
+  - onnx
+library_name: onnx
+---
+
+# ITO-Master (white-box) — ONNX export for in-browser mastering
+
+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](https://huggingface.co/spaces/kramp/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`.
+
+## Attribution & license
+
+Model & weights: **ITO-Master**, Koo et al., Sony Research —
+[github.com/SonyResearch/ITO-Master](https://github.com/SonyResearch/ITO-Master),
+[jhtonyKoo/ITO-Master](https://huggingface.co/spaces/jhtonyKoo/ITO-Master).
+Licensed **CC BY-NC 4.0 (non-commercial)**; this derivative export inherits the same license.