jarredou / MVSEP-MDX23-Colab_v2

Colab adaptation of MVSep Model for MDX23 music separation contest
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MVSep-MDX23 Colab Fork v2.4

Adaptation of MVSep-MDX23 algorithm for Colab, with few tweaks:

https://colab.research.google.com/github/jarredou/MVSEP-MDX23-Colab_v2/blob/v2.4/MVSep-MDX23-Colab.ipynb

Recent changes:

v2.4

  • BS-Roformer models from viperx added
  • MDX-InstHQ4 model added as optionnal
  • Flac output
  • Control input volume gain
  • Filter vocals below 50Hz option
  • Better chunking algo (no clicks)
  • Some code cleaning


Full changelog : [**v2.3**](https://github.com/jarredou/MVSEP-MDX23-Colab_v2/tree/v2.3) * HQ3-Instr model replaced by VitLarge23 (thanks to MVSep) * Improved MDXv2 processing (thanks to Anjok) * Improved BigShifts algo (v2) * BigShifts processing added to MDXv3 & VitLarge * Faster folder batch processing

[**v2.2.2**](https://github.com/jarredou/MVSEP-MDX23-Colab_v2/tree/v2.2) * Improved MDXv3 chunking code (thanks to HymnStudio) * D1581 demo model replaced by new InstVocHQ MDXv3 model.
**v2.2.1** * Added custom weights feature * Fixed some bugs * Fixed input: you can use a file or a folder as input now
**v2.2** * Added MDXv3 compatibility * Added MDXv3 demo model D1581 in vocals stem multiband ensemble. * Added VOC-FT Fullband SRS instead of UVR-MDX-Instr-HQ3. * Added 2stems feature : output only vocals/instrum (faster processing) * Added 16bit output format option * Added "BigShift trick" for MDX models * Added separated overlap values for MDX, MDXv3 and Demucs * Fixed volume compensation fine-tuning for MDX-VOC-FT
[**v2.1 (by deton24)**](https://github.com/deton24/MVSEP-MDX23-Colab_v2.1) * Updated with MDX-VOC-FT instead of Kim Vocal 2
[**v2.0**](https://github.com/jarredou/MVSEP-MDX23-Colab_v2/tree/2.0) * Updated with new Kim Vocal 2 & UVR-MDX-Instr-HQ3 models * Folder batch processing * Fixed high frequency bleed in vocals * Fixed volume compensation for MDX models

Original work by ZFTurbo/MVSep : https://github.com/ZFTurbo/MVSEP-MDX23-music-separation-model