Key facts
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.
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Keywords
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.