ESSENTIA: an open-source library for sound and music analysis
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- dc.contributor.author Bogdanov, Dmitryca
- dc.contributor.author Wack, Nicolasca
- dc.contributor.author Gómez Gutiérrez, Emilia, 1975-ca
- dc.contributor.author Gulati, Sankalpca
- dc.contributor.author Herrera Boyer, Perfecto, 1964-ca
- dc.contributor.author Mayor, Oscarca
- dc.contributor.author Roma Trepat, Gerardca
- dc.contributor.author Salamon, Justinca
- dc.contributor.author Zapata González, José Ricardoca
- dc.contributor.author Serra, Xavierca
- dc.date.accessioned 2018-07-16T08:44:13Z
- dc.date.available 2018-07-16T08:44:13Z
- dc.date.issued 2013
- dc.description Comunicació presentada a la 21st ACM international conference on Multimedia, celebrada els dies 21 a 25 d'octubre de 2013 a Barcelona, Espanya.
- 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.en
- dc.description.sponsorship The work on Essentia has been partially funded by the PHAROS (EU-IP, IST-2006-045035), CANTATA (ITEA 05010, FIT-350300-2006-33), Buscamedia (CEN-20091026), SIGMUS (TIN2012-36650), CompMusic (ERC 267583), and TECNIO (TECCIT12-1-0003) projects.
- dc.format.mimetype application/pdf
- dc.identifier.citation Bogdanov D, Wack N, Gómez E, Gulati S, Herrera P, Mayor O, Roma G, Salamon J, Zapata JR, Serra X. ESSENTIA: an open-source library for sound and music analysis. In: MM'13. Proceedings of the 21st ACM international conference on Multimedia; 2013 Oct 21-25: Barcelona, Spain. New York: ACM; 2013. p. 855-8. DOI 10.1145/2502081.2502229
- dc.identifier.doi http://dx.doi.org/10.1145/2502081.2502229
- dc.identifier.uri http://hdl.handle.net/10230/35168
- dc.language.iso eng
- dc.publisher ACM Association for Computer Machineryca
- dc.relation.ispartof MM'13. Proceedings of the 21st ACM international conference on Multimedia; 2013 Oct 21-25: Barcelona, Spain. New York: ACM; 2013. p. 855-8.
- dc.relation.projectID info:eu-repo/grantAgreement/EC/FP6/045035
- dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/TIN2012-36650
- dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/267583
- dc.rights © 2013 Association for Computing Machinery
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.subject.keyword Open sourceen
- dc.subject.keyword Signal processingen
- dc.subject.keyword Audio analysisen
- dc.subject.keyword Music information retrievalen
- dc.subject.keyword Sound and music computingen
- dc.title ESSENTIA: an open-source library for sound and music analysisca
- dc.type info:eu-repo/semantics/conferenceObject
- dc.type.version info:eu-repo/semantics/acceptedVersion