research data . Dataset . 2019

Jamendo content analysed with the Audio Commons Analysis Service

Johan Pauwels;
Open Access English
  • Published: 28 Jan 2019
  • Publisher: Zenodo
Abstract
<p>This dataset contains partial output of running the final release of the <a href="https://github.com/AudioCommons/faas-ac-analysis">Audio Commons Analysis Service</a> on 99960 music pieces of the <a href="https://licensing.jamendo.com">Jamendo Licensing</a> catalogue. The service is described in <a href="https://www.audiocommons.org/assets/files/AC-WP4-QMUL-D4.13%20Release%20of%20tool%20for%20the%20automatic%20semantic%20description%20of%20music%20pieces.pdf">Deliverable D4.13</a> of the Audio Commons project. The analysis results are comprised of chord output including confidence for all pieces (using the software described in the deliverable) and of the out...
Subjects
free text keywords: Biochemistry, Microbiology, Cell Biology, Molecular Biology, Developmental Biology, Science Policy, Space Science, 59999 Environmental Sciences not elsewhere classified, 69999 Biological Sciences not elsewhere classified, Deliverable D 4.13, Jamendo API, JSON, Audio Commons project, dataset, array, quot, chord output, chord extraction algorithm, document, analysis results, Jamendo content, Audio Commons Analysis Service, Jamendo Licensing catalogue, analysis service, subdocument, request metadata, 99960 music pieces, Essentia music extractor
Funded by
EC| AudioCommons
Project
AudioCommons
Audio Commons: An Ecosystem for Creative Reuse of Audio Content
  • Funder: European Commission (EC)
  • Project Code: 688382
  • Funding stream: H2020 | RIA
Communities
Science and Innovation Policy Studies
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Dataset . 2019
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Dataset . 2019
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Dataset . 2019
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Dataset . 2019
Provider: figshare
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