Published July 1, 2019 | Version 1.0.1
Dataset Open

SiSEC18-MUS 7s Excerpts

  • 1. INRIA and LIRMM, University of Montpellier
  • 2. NTT Communication Science Laboratories, NTT Corporation, Japan

Description

This dataset contains 7s excerpts from the Signal Separation Evaluation Campaign (SiSEC 2018). It accompanies the objective scores as submitted via the official github repository. The excerpts were generated using a method as described here that selects 7 seconds from each audio track by determining the most active parts of each source.

Files

MUSDB18-7-STEMS.zip

Files (7.5 GB)

Name Size Download all
md5:dc2bdfac5b46ce742bd60009866758a5
147.2 MB Preview Download
md5:567eb10cdc21942bae7623b591b89283
932.8 MB Preview Download
md5:26594c2a4f4154429cf958abe28b35a5
6.5 GB Preview Download

Additional details

References

  • Fabian-Robert Stöter, Antoine Liutkus, Nobutaka Ito, The 2018 Signal Separation Evaluation Campaign, Proceedings of the International Conference on Latent Variable Analysis and Signal Separation