Dataset guide · 机器学习与语料

MUSDB18 - a corpus for music separation

MUSDB18 contains 150 full-track songs with stereo mixtures and original sources, split into a training set (100 songs) and a test set (50 songs), for designing and evaluating music source separation algorithms.

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机器学习与语料Free to access

Key facts

InstitutionZafar Rafii, Antoine Liutkus, Fabian-Robert Stöter, Stylianos Ioannis Mimilakis, Rachel Bittner
CoverageMusic songs of different styles
Time span2017-12-17 (updated)
Scale150 songs, 1 file (.mp4)
LicenseEducational purposes only, no commercial use
AccessZenodo

Contents & fields

The dataset contains 150 full-track songs with stereo mixtures and original sources, encoded in Native Instruments stems format (.mp4). Each file contains 5 stereo streams: mixture, drums, bass, other accompaniment, vocals. All signals are stereo, 44.1kHz, AAC @256kbps. Training set: 100 songs; test set: 50 songs.

  • 0 - The mixture——Mixture signal
  • 1 - The drums——Drums signal
  • 2 - The bass——Bass signal
  • 3 - The rest of the accompaniment——Other accompaniment signal
  • 4 - The vocals——Vocals signal

Research uses

Suitable for designing and evaluating music source separation algorithms, e.g., karaoke applications, signal processing research, and as the official dataset for the professionally-produced music recordings task of SiSEC 2018.

This card was drafted from the source page; institution, coverage, time span, scale, fields and license are subject to the official page (pending human review).

Keywords

music separationsource separationMUSDB18SiSECmultitrack audiodataset

Access & license

License: License pending verification | Free to access

Why this is hard to get on your own

Music source separation research often requires high-quality multitrack datasets, but obtaining well-annotated and clearly licensed music source data is challenging.

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