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| # Release notes for Demucs | |
| ## V2.0.2, 26th of May 2021 | |
| - Fix in Tasnet (PR #178) | |
| - Use ffmpeg in priority when available instead of torchaudio to avoid small shift in MP3 data. | |
| - other minor fixes | |
| ## v2.0.1, 11th of May 2021 | |
| MusDB HQ support added. Custom wav dataset support added. | |
| Minor changes: issue with padding of mp3 and torchaudio reading, in order to limit that, | |
| Demucs now uses ffmpeg in priority and fallback to torchaudio. | |
| Replaced pre-trained demucs model with one trained on more recent codebase. | |
| ## v2.0.0, 28th of April 2021 | |
| This is a big release, with at lof of breaking changes. You will likely | |
| need to install Demucs from scratch. | |
| - Demucs now supports on the fly resampling by a factor of 2. | |
| This improves SDR almost 0.3 points. | |
| - Random scaling of each source added (From Uhlich et al. 2017). | |
| - Random pitch and tempo augmentation addded, from [Cohen-Hadria et al. 2019]. | |
| - With extra augmentation, the best performing Demucs model now has only 64 channels | |
| instead of 100, so model size goes from 2.4GB to 1GB. Also SDR is up from 5.6 SDR to 6.3 when trained only on MusDB. | |
| - Quantized model using [DiffQ](https://github.com/facebookresearch/diffq) has been added. Model size is 150MB, no loss in quality as far as I, or the metrics, | |
| can say. | |
| - Pretrained models are now using the TorchHub interface. | |
| - Overlap mode for separation, to limit inconsitencies at | |
| frame boundaries, with linear transition over the overlap. Overlap is currently | |
| at 25%. Not that this is only done for separation, not training, because | |
| I added that quite late to the code. For Conv-TasNet this can improve | |
| SDR quite a bit (+0.3 points, to 6.0). | |
| - PyPI hosting, for separation, not training! | |