Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/94071
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dc.contributor.authorPanda, Renato-
dc.contributor.authorMalheiro, Ricardo-
dc.contributor.authorPaiva, Rui Pedro-
dc.date.accessioned2021-03-31T13:20:11Z-
dc.date.available2021-03-31T13:20:11Z-
dc.date.issued2020-
dc.identifier.issn1949-3045pt
dc.identifier.issn2371-9850pt
dc.identifier.urihttp://hdl.handle.net/10316/94071-
dc.description.abstractThis work advances the music emotion recognition state-of-the-art by proposing novel emotionally-relevant audio features. We reviewed the existing audio features implemented in well-known frameworks and their relationships with the eight commonly defined musical concepts. This knowledge helped uncover musical concepts lacking computational extractors, to which we propose algorithms - namely related with musical texture and expressive techniques. To evaluate our work, we created a public dataset of 900 audio clips, with subjective annotations following Russell's emotion quadrants. The existent audio features (baseline) and the proposed features (novel) were tested using 20 repetitions of 10-fold cross-validation. Adding the proposed features improved the F1-score to 76.4 percent (by 9 percent), when compared to a similar number of baseline-only features. Moreover, analysing the features relevance and results uncovered interesting relations, namely the weight of specific features and musical concepts to each emotion quadrant, and warrant promising new directions for future research in the field of music emotion recognition, interactive media, and novel music interfaces.pt
dc.description.sponsorshipThis work was supported by the MOODetector project (PTDC/EIA-EIA/102185/2008), financed by the Fundação para Ciência e a Tecnologia (FCT) and Programa Operacional Temático Factores de Competitividade (COMPETE) – Portugal, as well as the PhD Scholarship SFRH/BD/91523/ 2012, funded by the Fundação para Ciência e a Tecnologia (FCT), Programa Operacional Potencial Humano (POPH) and Fundo Social Europeu (FSE).pt
dc.language.isoengpt
dc.publisherIEEEpt
dc.relationinfo:eu-repo/grantAgreement/FCT/5876-PPCDTI/102185/PT/MOODetector - A System for Mood-based Classification and Retrieval of Audio Musicpt
dc.relationinfo:eu-repo/grantAgreement/FCT/SFRH/SFRH/BD/91523/2012/PT/EMOTION-BASED ANALYSIS AND CLASSIFICATION OF AUDIO MUSICpt
dc.rightsembargoedAccesspt
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt
dc.subjectAffective computingpt
dc.subjectAudio databasespt
dc.subjectEmotion recognitionpt
dc.subjectFeature extractionpt
dc.subjectMusic information retrievalpt
dc.titleNovel Audio Features for Music Emotion Recognitionpt
dc.typearticle-
degois.publication.firstPage614pt
degois.publication.lastPage626pt
degois.publication.issue4pt
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8327886/pt
dc.peerreviewedyespt
dc.identifier.doi10.1109/TAFFC.2018.2820691pt
degois.publication.volume11pt
dc.date.embargo2020-06-29*
uc.date.periodoEmbargo180pt
item.grantfulltextopen-
item.languageiso639-1en-
item.fulltextCom Texto completo-
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-
crisitem.project.grantnoinfo:eu-repo/grantAgreement/FCT/5876-PPCDTI/102185/PT/MOODetector - A System for Mood-based Classification and Retrieval of Audio Music-
crisitem.project.grantnoinfo:eu-repo/grantAgreement/FCT/SFRH/SFRH/BD/91523/2012/PT/EMOTION-BASED ANALYSIS AND CLASSIFICATION OF AUDIO MUSIC-
Appears in Collections:I&D CISUC - Artigos em Revistas Internacionais
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