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Essentia: an audio analysis library for music information retrieval

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dc.contributor.author Bogdanov, Dmitry
dc.contributor.author Wack, Nicolas
dc.contributor.author Gómez Gutiérrez, Emilia, 1975-
dc.contributor.author Gulati, Sankalp
dc.contributor.author Herrera Boyer, Perfecto
dc.contributor.author Mayor, Oscar
dc.contributor.author Roma Trepat, Gerard
dc.contributor.author Salamon, Justin
dc.contributor.author Zapata González, José Ricardo
dc.contributor.author Serra, Xavier
dc.date.accessioned 2017-06-12T07:55:35Z
dc.date.available 2017-06-12T07:55:35Z
dc.date.issued 2013
dc.identifier.citation Bogdanov D, Wack N, Gómez E, Sankalp G, Herrera P, Mayor O, Roma G, Salamon J, Zapata J, Serra X. Essentia: an audio analysis library for music information retrieval. In: Britto A, Gouyon F, Dixon S, editors. 14th Conference of the International Society for Music Information Retrieval (ISMIR); 2013 Nov 4-8; Curitiba, Brazil. [place unknown]: ISMIR; 2013. p. 493-8.
dc.identifier.uri http://hdl.handle.net/10230/32252
dc.description Comunicació presentada a la 14th International Society for Music Information Retrieval Conference, celebrada a Curitiba (Brasil) els dies 4 a 8 de novembre de 2013.
dc.description.abstract We present Essentia 2.0, an open-source C++ library for audio analysis and audio-based music information retrieval released under the Affero GPL license. It contains an extensive collection of reusable algorithms which implement audio input/output functionality, standard digital signal processing blocks, statistical characterization of data, and a large set of spectral, temporal, tonal and high-level music descriptors. The library is also wrapped in Python and includes a number of predefined executable extractors for the available music descriptors, which facilitates its use for fast prototyping and allows setting up research experiments very rapidly. Furthermore, it includes a Vamp plugin to be used with Sonic Visualiser for visualization purposes. The library is cross-platform and currently supports Linux, Mac OS X, and Windows systems. Essentia is designed with a focus on the robustness of the provided music descriptors and is optimized in terms of the computational cost of the algorithms. The provided functionality, specifically the music descriptors included in-the-box and signal processing algorithms, is easily expandable and allows for both research experiments and development of large-scale industrial applications.
dc.description.sponsorship The work on Essentia has been partially funded by the PHAROS (EUIP, IST-2006-045035), Buscamedia (CEN-20091026), CANTATA (ITEA 05010, FIT-350300-2006-33), SIGMUS (TIN2012-36650), CompMusic (ERC 267583), and TECNIO (TECCIT12-1-0003) projects.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher International Society for Music Information Retrieval (ISMIR)
dc.relation.ispartof Britto A, Gouyon F, Dixon S, editors. 14th Conference of the International Society for Music Information Retrieval (ISMIR); 2013 Nov 4-8; Curitiba, Brazil. [place unknown]: ISMIR; 2013. p. 493-8.
dc.rights © 2013 International Society for Music Information Retrieval
dc.subject.other Música -- Informàtica
dc.title Essentia: an audio analysis library for music information retrieval
dc.type info:eu-repo/semantics/conferenceObject
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/267583
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP6/045035
dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/TIN2012-36650
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion


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