research data . Dataset . 2019

Freesound content analyzed with Audio Commons Audio Extractor V2

Font, Frederic; Bogdanov, Dmitry;
Open Access English
  • Published: 22 Jan 2019
  • Publisher: Zenodo
Abstract
<p>This dataset contains the outputs of running the second prototype of the&nbsp;<a href="https://github.com/AudioCommons/ac-audio-extractor">Audio Commons Audio Extractor</a>&nbsp;(ACExtractorV2)&nbsp;over 292k clips of the <a href="https://freesound.org">Freesound</a> collection. This version of the&nbsp;audio extractor is described in <a href="https://www.audiocommons.org/assets/files/AC-WP4-UPF-D4.7%20Second%20prototype%20tool%20for%20the%20automatic%20semantic%20description%20of%20music%20samples.pdf">Deliverable D4.7</a> of the AudioCommons project, and includes several music properties such as&nbsp;<strong>pitch</strong>,&nbsp;<strong>key</strong>&nbsp;an...
Subjects
free text keywords: Medicine, Molecular Biology, Biotechnology, Sociology, Marine Biology, 110309 Infectious Diseases, 60506 Virology, Space Science, 69999 Biological Sciences not elsewhere classified, 80699 Information Systems not elsewhere classified, music properties, nbsp, Freesound collection, music loops, Deliverable 5.6, Freesound sound IDs, Deliverable D 4.7, Audio Commons Audio Extractor V 2, software tools, music samples, prototype versions, confidence measures, JSON, timbral models, Freesound content, Audio Commons Audio Extractor, AudioCommons project
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
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Dataset . 2019
Provider: Datacite
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Dataset . 2019
Provider: Zenodo
Zenodo
Dataset . 2019
Provider: Datacite
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Dataset . 2019
Provider: figshare
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