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.
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
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.
