research data . Dataset . 2019

Jamendo content analysed with the Audio Commons Analysis Service

Name: Jamendo content analysed with the Audio Commons Analysis Service
Creator: Johan Pauwels

Johan Pauwels;

Open Access English

Published: 28 Jan 2019

Publisher: Zenodo

Summary

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...

Persistent Identifiers

doi: 10.5281/zenodo.2551255 , 10.5281/zenodo.2551256

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