Audio Features for Music Emotion Recognition: a Survey

Detalhes bibliográficos
Autor(a) principal: Panda, Renato
Data de Publicação: 2020
Outros Autores: Malheiro, Ricardo, Paiva, Rui Pedro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.26/37779
Resumo: (afiliação corrigida na versão do editor)
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spelling Audio Features for Music Emotion Recognition: a Surveyaffective computingmusic emotion recognitionaudio feature designmusic information retrieval(afiliação corrigida na versão do editor)The design of meaningful audio features is a key need to advance the state-of-the-art in Music Emotion Recognition (MER). This work presents a survey on the existing emotionally-relevant computational audio features, supported by the music psychology literature on the relations between eight musical dimensions (melody, harmony, rhythm, dynamics, tone color, expressivity, texture and form) and specific emotions. Based on this review, current gaps and needs are identified and strategies for future research on feature engineering for MER are proposed, namely ideas for computational audio features that capture elements of musical form, texture and expressivity that should be further researched. Finally, although the focus of this article is on classical feature engineering methodologies (based on handcrafted features), perspectives on deep learning-based approaches are discussed.IEEERepositório ComumPanda, RenatoMalheiro, RicardoPaiva, Rui Pedro2021-10-25T12:08:03Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.26/37779eng10.1109/TAFFC.2020.3032373info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-10-20T10:52:46Zoai:comum.rcaap.pt:10400.26/37779Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:37:14.400176Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Audio Features for Music Emotion Recognition: a Survey
title Audio Features for Music Emotion Recognition: a Survey
spellingShingle Audio Features for Music Emotion Recognition: a Survey
Panda, Renato
affective computing
music emotion recognition
audio feature design
music information retrieval
title_short Audio Features for Music Emotion Recognition: a Survey
title_full Audio Features for Music Emotion Recognition: a Survey
title_fullStr Audio Features for Music Emotion Recognition: a Survey
title_full_unstemmed Audio Features for Music Emotion Recognition: a Survey
title_sort Audio Features for Music Emotion Recognition: a Survey
author Panda, Renato
author_facet Panda, Renato
Malheiro, Ricardo
Paiva, Rui Pedro
author_role author
author2 Malheiro, Ricardo
Paiva, Rui Pedro
author2_role author
author
dc.contributor.none.fl_str_mv Repositório Comum
dc.contributor.author.fl_str_mv Panda, Renato
Malheiro, Ricardo
Paiva, Rui Pedro
dc.subject.por.fl_str_mv affective computing
music emotion recognition
audio feature design
music information retrieval
topic affective computing
music emotion recognition
audio feature design
music information retrieval
description (afiliação corrigida na versão do editor)
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01T00:00:00Z
2021-10-25T12:08:03Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.26/37779
url http://hdl.handle.net/10400.26/37779
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1109/TAFFC.2020.3032373
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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