Content processing of music audio signals

In this chapter, we provide an overview of state-of-the-art algorithms for the automatic description of music audio signals, both from a low-level perspective (focusing on signal characteristics) and a more musical perspective (focusing on musically meaningful dimensions). We also provide examples o...

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Detalhes bibliográficos
Autores: Gouyon, Fabien, Herrera Boyer, Perfecto, 1964-, Gómez Gutiérrez, Emilia, 1975-, Cano Vila, Pedro, Bonada, Jordi, 1973-, Loscos, Àlex, Amatriain, Xavier, Serra, Xavier
Formato: capítulo de livro
Estado:Versión publicada
Fecha de publicación:2008
País:España
Recursos:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/34286
Acesso em linha:http://hdl.handle.net/10230/34286
Access Level:acceso abierto
Palavra-chave:Sound and Music Computing
Music Cognition
Audio Signal Processing
Machine learning
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spelling Content processing of music audio signalsGouyon, FabienHerrera Boyer, Perfecto, 1964-Gómez Gutiérrez, Emilia, 1975-Cano Vila, PedroBonada, Jordi, 1973-Loscos, ÀlexAmatriain, XavierSerra, XavierSound and Music ComputingMusic CognitionAudio Signal ProcessingMachine learningIn this chapter, we provide an overview of state-of-the-art algorithms for the automatic description of music audio signals, both from a low-level perspective (focusing on signal characteristics) and a more musical perspective (focusing on musically meaningful dimensions). We also provide examples of applications based on this description, such as music identification, music browsing and music signal transformations. Throughout the chapter, a special focus is put on promising research directions.This work has been partially funded by the European IST-507142 project SIMAC (Semantic Interaction with Music Audio Contents),15 and the HARMOS E-Content project.Logos Verlag201820182008info:eu-repo/semantics/bookPartinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/34286reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésPolotti P, Rocchesso D, editors. Sound to sense, sense to sound: a state of the art in sound and music computing. Berlin: Logos Verlag; 2008.info:eu-repo/grantAgreement/EC/FP6/507142© Copyright Logos Verlag Berlin GmbH 2008. https://www.logos-verlag.de/cgi-bin/engbuchmid?isbn=1600&lng=eng&id=https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:10230/342862026-05-29T05:05:01Z
dc.title.none.fl_str_mv Content processing of music audio signals
title Content processing of music audio signals
spellingShingle Content processing of music audio signals
Gouyon, Fabien
Sound and Music Computing
Music Cognition
Audio Signal Processing
Machine learning
title_short Content processing of music audio signals
title_full Content processing of music audio signals
title_fullStr Content processing of music audio signals
title_full_unstemmed Content processing of music audio signals
title_sort Content processing of music audio signals
dc.creator.none.fl_str_mv Gouyon, Fabien
Herrera Boyer, Perfecto, 1964-
Gómez Gutiérrez, Emilia, 1975-
Cano Vila, Pedro
Bonada, Jordi, 1973-
Loscos, Àlex
Amatriain, Xavier
Serra, Xavier
author Gouyon, Fabien
author_facet Gouyon, Fabien
Herrera Boyer, Perfecto, 1964-
Gómez Gutiérrez, Emilia, 1975-
Cano Vila, Pedro
Bonada, Jordi, 1973-
Loscos, Àlex
Amatriain, Xavier
Serra, Xavier
author_role author
author2 Herrera Boyer, Perfecto, 1964-
Gómez Gutiérrez, Emilia, 1975-
Cano Vila, Pedro
Bonada, Jordi, 1973-
Loscos, Àlex
Amatriain, Xavier
Serra, Xavier
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Sound and Music Computing
Music Cognition
Audio Signal Processing
Machine learning
topic Sound and Music Computing
Music Cognition
Audio Signal Processing
Machine learning
description In this chapter, we provide an overview of state-of-the-art algorithms for the automatic description of music audio signals, both from a low-level perspective (focusing on signal characteristics) and a more musical perspective (focusing on musically meaningful dimensions). We also provide examples of applications based on this description, such as music identification, music browsing and music signal transformations. Throughout the chapter, a special focus is put on promising research directions.
publishDate 2008
dc.date.none.fl_str_mv 2008
2018
2018
dc.type.none.fl_str_mv info:eu-repo/semantics/bookPart
info:eu-repo/semantics/publishedVersion
format bookPart
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/34286
url http://hdl.handle.net/10230/34286
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Polotti P, Rocchesso D, editors. Sound to sense, sense to sound: a state of the art in sound and music computing. Berlin: Logos Verlag; 2008.
info:eu-repo/grantAgreement/EC/FP6/507142
dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Logos Verlag
publisher.none.fl_str_mv Logos Verlag
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.81155

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