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LICENSE.md

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+# License
+
+This model is derived from [facebookresearch/demucs](https://github.com/facebookresearch/demucs),
+licensed under the MIT License. No training or fine-tuning was performed — this repository
+contains an ONNX format conversion of the original pretrained `htdemucs.th` checkpoint.
+
+## MIT License (original demucs project)
+
+Copyright (c) Facebook, Inc. and its affiliates.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+
+> Note: verify this text against the exact `LICENSE` file in the upstream
+> `facebookresearch/demucs` repository before publishing, and update the copyright
+> line if it differs.

README.md

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----
-license: mit
----
+---
+license: mit
+tags:
+  - onnx
+  - webnn
+  - audio-source-separation
+  - htdemucs
+pipeline_tag: audio-to-audio
+---
+
+# Stem Separator (HTDemucs v4, fwd-only ONNX export) — WebNN
+
+ONNX export of Meta's pretrained **HTDemucs v4** (`htdemucs.th`, base/non-fine-tuned checkpoint)
+used by the [WebNN Developer Preview](https://github.com/microsoft/webnn-developer-preview) Stem
+Separator demo. Splits a stereo mix into **drums / bass / other / vocals**, running entirely
+client-side via ONNX Runtime Web with WebNN (NPU/GPU) acceleration, cascading to WebGPU/WASM.
+
+## Files
+
+| File | Size | Description |
+|---|---|---|
+| `onnx/htdemucs_fwd.onnx` | ~2.3 MB | Model graph |
+| `onnx/htdemucs_fwd.onnx.data` | ~168 MB | External weights |
+
+## Provenance
+
+- **Source checkpoint**: Meta Research's pretrained `htdemucs.th` base checkpoint (signature
+  `955717e8`, filename `955717e8-8726e21a.th`) from the
+  [facebookresearch/demucs](https://github.com/facebookresearch/demucs) project (MIT license),
+  [checkpoint link](https://dl.fbaipublicfiles.com/demucs/hybrid_transformer/955717e8-8726e21a.th).
+  No training or fine-tuning was performed — this is a format conversion of an already-trained model.
+- **Conversion**: exported via `convert_htdemucs_fwd_only.py`, a script modeled on the HTDemucs
+  conversion utilities from the
+  [RyanMetcalfeInt8/Music-Source-Separation-Training](https://github.com/RyanMetcalfeInt8/Music-Source-Separation-Training)
+  fork, purpose-built to produce a clean, opset-pinned ONNX file for web/WebNN consumption rather
+  than an OpenVINO IR intermediate.
+- **Why fwd-only**: `torch.onnx.export` cannot trace the complex-tensor ops used by HTDemucs's
+  STFT/iSTFT stages. Those stages are reimplemented client-side in JavaScript instead, matching the
+  original PyTorch implementation within floating-point tolerance.
+- **Conversion command**:
+  ```
+  python convert_htdemucs_fwd_only.py \
+    --config configs/config_musdb18_htdemucs.yaml \
+    --checkpoint 955717e8-8726e21a.th \
+    --output htdemucs_fwd.onnx
+  ```
+  The exact script used is included in this repository at
+  [`tools/convert_htdemucs_fwd_only.py`](./tools/convert_htdemucs_fwd_only.py) as reproducibility
+  collateral (adapted from the fork above, MIT License).
+
+## Input / Output shapes
+
+| Tensor | Shape | Description |
+|---|---|---|
+| `x` (input) | `[1, 4, 2048, 336]` | Normalized CAC spectrogram (freq-domain branch) |
+| `xt` (input) | `[1, 2, 343980]` | Normalized stereo waveform (time-domain branch), ~7.8s @ 44.1kHz |
+| `x_out` (output) | `[1, 16, 2048, 336]` | 4 stems × 4-channel CAC spectrogram |
+| `xt_out` (output) | `[1, 8, 343980]` | 4 stems × stereo waveform |
+
+Segments are processed with 50% overlap (`SEGMENT_LENGTH=343980`, `OVERLAP=171990`) and
+reassembled with triangular-weighted overlap-add.
+
+## Validation
+
+Compared against a Python fp32 reference pipeline (sine-wave input, every intermediate stage dumped):
+
+| Stage | Max diff |
+|---|---|
+| STFT | 9.5e-7 |
+| pre_forward | 7.6e-6 |
+| ONNX `fwd` (fp16) | MAE 9e-4 |
+| post_forward | 1.8e-7 |
+
+## Usage
+
+See the [Stem Separator demo](https://github.com/microsoft/webnn-developer-preview/tree/main/demos/stem-separator)
+in the WebNN Developer Preview repository for the full client-side pre/post-processing pipeline.
+
+## License
+
+MIT - see [LICENSE.md](./LICENSE.md). Derived from
+[facebookresearch/demucs](https://github.com/facebookresearch/demucs) (MIT).