research data . Dataset . 2018

Medley-solos-DB: a cross-collection dataset for musical instrument recognition

Lostanlen, Vincent; Cella, Carmine-Emanuele; Bittner, Rachel; Essid, Slim;
Open Access
  • Published: 28 Sep 2018
  • Publisher: Zenodo
Abstract
<p>Medley-solos-DB<br> =============<br> Version 1.2 March 2019.<br> &nbsp;</p> <p>&nbsp;</p> <p>Created By<br> --------------</p> <p>Vincent Lostanlen (1), Carmine-Emanuele Cella (2), Rachel Bittner (3), Slim Essid&nbsp;(4).<br> <br> (1): New York University<br> (2): UC Berkeley<br> (3): Spotify, Inc.<br> (4): T&eacute;l&eacute;com ParisTech</p> <p>&nbsp;</p> <p><br> Description<br> ---------------</p> <p>&nbsp;</p> <p>Medley-solos-DB is a cross-collection dataset for automatic musical instrument recognition in solo recordings. It consists of a training set of 3-second audio clips, which are extracted from the MedleyDB dataset of Bittner et al. (ISMIR 2014) as ...
Subjects
free text keywords: music, instrument, audio, machine listening, music information retrieval, timbre, machine learning, classification, Genetics, Evolutionary Biology, Science Policy, 69999 Biological Sciences not elsewhere classified, Biological Sciences not elsewhere classified
Related Organizations
Funded by
EC| INVARIANTCLASS
Project
INVARIANTCLASS
Invariant Representations for High-Dimensional Signal Classifications
  • Funder: European Commission (EC)
  • Project Code: 320959
  • Funding stream: FP7 | SP2 | ERC
Communities
Science and Innovation Policy Studies
Zenodo
Dataset . 2018
Provider: Datacite
Zenodo
Dataset . 2018
Provider: Zenodo
Zenodo
Dataset . 2018
Provider: Datacite
Zenodo
Dataset . 2019
Provider: Zenodo
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