| --- |
| license: cc-by-nc-4.0 |
| library_name: mlx-audio |
| tags: |
| - mlx |
| - audio |
| - audio-source-separation |
| base_model: sarulab-speech/DialogueSidon |
| --- |
| |
| # DialogueSidon |
|
|
| Two-speaker dialogue separation and restoration, with 24 kHz mono stems. |
| Converted from [sarulab-speech/DialogueSidon](https://huggingface.co/sarulab-speech/DialogueSidon/tree/d43d7478402a5527136c6733c3f4359c37b312ab) for use with [mlx-audio](https://github.com/Blaizzy/mlx-audio). |
|
|
| ```python |
| from mlx_audio.sts import load |
| from mlx_audio.audio_io import write |
| |
| model = load("mlx-community/DialogueSidon") |
| result = model.separate("dialogue.wav", num_steps=30, seed=0) |
| for i, speaker in enumerate(result.speakers, 1): |
| write(f"speaker_{i}.wav", speaker, result.sample_rate) |
| ``` |
|
|
| The two channels are anonymous speaker slots. Long recordings use overlapping |
| chunks and waveform correlation to maintain channel assignment. Consistency |
| across silence is not guaranteed. This is an offline generative model, so the |
| stems need not sum to the mixture. The default chunk and overlap are 20 and 5 |
| seconds; use `chunk_seconds=None` for whole-file inference when memory permits. |
|
|
| The checkpoint retains **CC-BY-NC-4.0**. Original model by Wataru Nakata, |
| Yuki Saito, Kazuki Yamauchi, Emiru Tsunoo, and Hiroshi Saruwatari (SaruLab). |
| See the [original model card](https://huggingface.co/sarulab-speech/DialogueSidon) and |
| [Sidon implementation](https://github.com/sarulab-speech/Sidon). |
