Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/95975
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dc.contributor.authorPanda, Renato-
dc.contributor.authorMalheiro, Ricardo-
dc.contributor.authorPaiva, Rui Pedro-
dc.date.accessioned2021-10-25T11:50:28Z-
dc.date.available2021-10-25T11:50:28Z-
dc.date.issued2020-
dc.identifier.issn1949-3045pt
dc.identifier.issn2371-9850pt
dc.identifier.urihttp://hdl.handle.net/10316/95975-
dc.description.abstractThe 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.pt
dc.description.sponsorshipThis work was supported by the MERGE project (PTDC/CCI-COM/3171/2021) financed by Fundação para Ciência e a Tecnologia (FCT) - Portugal.pt
dc.language.isoengpt
dc.publisherIEEEpt
dc.rightsopenAccesspt
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt
dc.subjectaffective computingpt
dc.subjectmusic emotion recognitionpt
dc.subjectaudio feature designpt
dc.subjectmusic information retrievalpt
dc.titleAudio Features for Music Emotion Recognition: a Surveypt
dc.typearticle-
degois.publication.firstPage1pt
degois.publication.lastPage1pt
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9229494pt
dc.peerreviewedyespt
dc.identifier.doi10.1109/TAFFC.2020.3032373pt
dc.date.embargo2020-01-01*
uc.date.periodoEmbargo0pt
item.fulltextCom Texto completo-
item.languageiso639-1en-
item.grantfulltextopen-
crisitem.author.deptFaculty of Sciences and Technology-
crisitem.author.deptFaculty of Sciences and Technology-
crisitem.author.deptFaculty of Sciences and Technology-
crisitem.author.parentdeptUniversity of Coimbra-
crisitem.author.parentdeptUniversity of Coimbra-
crisitem.author.parentdeptUniversity of Coimbra-
crisitem.author.researchunitCISUC - Centre for Informatics and Systems of the University of Coimbra-
crisitem.author.researchunitCISUC - Centre for Informatics and Systems of the University of Coimbra-
crisitem.author.researchunitCISUC - Centre for Informatics and Systems of the University of Coimbra-
crisitem.author.parentresearchunitFaculty of Sciences and Technology-
crisitem.author.parentresearchunitFaculty of Sciences and Technology-
crisitem.author.parentresearchunitFaculty of Sciences and Technology-
crisitem.author.orcid0000-0003-2539-5590-
crisitem.author.orcid0000-0002-3010-2732-
crisitem.author.orcid0000-0003-3215-3960-
Appears in Collections:I&D CISUC - Artigos em Revistas Internacionais
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