Slakh2100-16k

Introduction:

This is a variant of Slakh2100 dataset (2019, Manilow et al.) resampled in `16 kHz-mono-16-bit-flac` format. `omitted` directory of the original dataset is reduced. A license for redistribution is attached. Please see the link below for more details.

The Synthesized Lakh (Slakh) Dataset is a dataset of multi-track audio and aligned MIDI for music source separation and multi-instrument automatic transcription. Individual MIDI tracks are synthesized from the Lakh MIDI Dataset v0.1 using professional-grade sample-based virtual instruments, and the resulting audio is mixed together to make musical mixtures. This release of Slakh, called Slakh2100, contains 2100 automatically mixed tracks and accompanying, aligned MIDI files, synthesized from 187 instrument patches categorized into 34 classes, totaling 145 hours of mixture data.

Citing Slakh:

If you use Slakh2100 or generate data using the same method we ask that you cite it using the following bibtex entry:

@inproceedings{manilow2019cutting,
  title={Cutting Music Source Separation Some {Slakh}: A Dataset to Study the Impact of Training Data Quality and Quantity},
  author={Manilow, Ethan and Wichern, Gordon and Seetharaman, Prem and Le Roux, Jonathan},
  booktitle={Proc. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)},
  year={2019},
  organization={IEEE}
}