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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

  • 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

  • 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)

  • Updated with MDX-VOC-FT instead of Kim Vocal 2

v2.0

  • 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

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Colab adaptation of MVSep Model for MDX23 music separation contest

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  • Python 88.8%
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