Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/94384
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Panda, Renato | - |
dc.contributor.author | Rocha, Bruno | - |
dc.contributor.author | Paiva, Rui Pedro | - |
dc.date.accessioned | 2021-04-26T20:06:59Z | - |
dc.date.available | 2021-04-26T20:06:59Z | - |
dc.date.issued | 2015 | - |
dc.identifier.issn | 0883-9514 | pt |
dc.identifier.issn | 1087-6545 | pt |
dc.identifier.uri | https://hdl.handle.net/10316/94384 | - |
dc.description.abstract | We propose a novel approach to music emotion recognition by combining standard and melodic features extracted directly from audio. To this end, a new audio dataset organized similarly to the one used in MIREX mood task comparison was created. From the data, 253 standard and 98 melodic features are extracted and used with several supervised learning techniques. Results show that, generally, melodic features perform better than standard audio. The best result, 64% f-measure, with only 11 features (9 melodic and 2 standard), was obtained with ReliefF feature selection and Support Vector Machines. | pt |
dc.description.sponsorship | This 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). This work was also supported by the RECARDI project (QREN 22997), funded by the Quadro de Referência Estratégica Nacional (QREN). | pt |
dc.language.iso | eng | pt |
dc.publisher | Taylor & Francis | pt |
dc.relation | RECARDI (QREN 22997) | pt |
dc.relation | info:eu-repo/grantAgreement/FCT/5876-PPCDTI/102185/PT/MOODetector - A System for Mood-based Classification and Retrieval of Audio Music | pt |
dc.relation | info:eu-repo/grantAgreement/FCT/SFRH/SFRH/BD/91523/2012/PT/EMOTION-BASED ANALYSIS AND CLASSIFICATION OF AUDIO MUSIC | pt |
dc.rights | embargoedAccess | pt |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | pt |
dc.subject | Music emotion recognition | pt |
dc.subject | Melody | pt |
dc.subject | Melodic audio features | pt |
dc.title | Music Emotion Recognition with Standard and Melodic Audio Features | pt |
dc.type | article | - |
degois.publication.firstPage | 313 | pt |
degois.publication.lastPage | 334 | pt |
degois.publication.issue | 4 | pt |
degois.publication.title | Applied Artificial Intelligence (AAI) | pt |
dc.relation.publisherversion | https://www.tandfonline.com/doi/abs/10.1080/08839514.2015.1016389 | pt |
dc.peerreviewed | yes | pt |
dc.identifier.doi | 10.1080/08839514.2015.1016389 | pt |
degois.publication.volume | 29 | pt |
dc.date.embargo | 2015-06-30 | * |
uc.date.periodoEmbargo | 180 | pt |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.openairetype | article | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | open | - |
item.fulltext | Com Texto completo | - |
item.languageiso639-1 | en | - |
crisitem.project.grantno | info:eu-repo/grantAgreement/FCT/5876-PPCDTI/102185/PT/MOODetector - A System for Mood-based Classification and Retrieval of Audio Music | - |
crisitem.project.grantno | info:eu-repo/grantAgreement/FCT/SFRH/SFRH/BD/91523/2012/PT/EMOTION-BASED ANALYSIS AND CLASSIFICATION OF AUDIO MUSIC | - |
crisitem.author.researchunit | CISUC - Centre for Informatics and Systems of the University of Coimbra | - |
crisitem.author.researchunit | CISUC - Centre for Informatics and Systems of the University of Coimbra | - |
crisitem.author.researchunit | CISUC - Centre for Informatics and Systems of the University of Coimbra | - |
crisitem.author.parentresearchunit | Faculty of Sciences and Technology | - |
crisitem.author.parentresearchunit | Faculty of Sciences and Technology | - |
crisitem.author.parentresearchunit | Faculty of Sciences and Technology | - |
crisitem.author.orcid | 0000-0003-2539-5590 | - |
crisitem.author.orcid | 0000-0003-1643-667X | - |
crisitem.author.orcid | 0000-0003-3215-3960 | - |
Appears in Collections: | I&D CISUC - Artigos em Revistas Internacionais |
Files in This Item:
File | Description | Size | Format | |
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Panda, Rocha, Paiva - 2015 - Music Emotion Recognition with Standard and Melodic Audio Features [Accepted Manuscript].pdf | Accepted Manuscript | 801.27 kB | Adobe PDF | View/Open |
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