README.md

metadata

pretty_name: Music Demixing Benchmarks Phantom Center
tags:
  - audio
  - audio-to-audio
  - source-separation
  - audio-source-separation
  - music-source-separation
  - music-demixing
  - benchmark
  - leaderboard
  - objective-evaluation
  - objective-metrics
  - mvsep
  - quality-checker
license: other
task_categories:
  - audio-to-audio
size_categories:
  - n<1K

Music Demixing Benchmarks Phantom Center

Unofficial, unpacked mirror of MVSep Quality Checker Phantom Center dataset.

• Phantom Center Leaderboard (Center)
• Official zip file: 0.3 GB

Download

hf CLI and the huggingface_hub Python package are orders of magnitude faster than git.

• Use
  • Hugging Face Command Line Interface (CLI)
  • git
  • huggingface_hub Python package
• Choose
  • individual files
  • all files in the repository
  • subsets of files with filename pattern matching (fnmatch)
• Read more
  • Hugging Face download guide
  • Hugging Face repository and Git guide

Remember to use --repo-type dataset or repo_type='dataset'

Example

filenames_mixture: list[str] = ...

submissionDatasetType: str = ...

pathRoot: str = huggingface_hub.snapshot_download(f'MusicDemixingBenchmarks/{submissionDatasetType}'
                    , repo_type = 'dataset'
                    , allow_patterns = filenames_mixture
                )

pathFilenames_mixture: list[str] = list(map(partial(fs.path.combine, pathRoot), filenames_mixture))

Genesis

@misc{solovyev2024benchmarksleaderboardssounddemixing,
      title={Benchmarks and leaderboards for sound demixing tasks},
      author={Roman Solovyev and Alexander Stempkovskiy and Tatiana Habruseva},
      year={2024},
      eprint={2305.07489},
      archivePrefix={arXiv},
      primaryClass={cs.SD},
      url={https://arxiv.org/abs/2305.07489},
}