Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/95168
DC FieldValueLanguage
dc.contributor.authorPanda, Renato-
dc.contributor.authorPaiva, Rui Pedro-
dc.date.accessioned2021-07-04T20:03:04Z-
dc.date.available2021-07-04T20:03:04Z-
dc.date.issued2012-
dc.identifier.urihttps://hdl.handle.net/10316/95168-
dc.description.abstractWe propose a five regression models’ system to classify music emotion. To this end, a dataset similar to MIREX contest dataset was used. Songs from each cluster are separated in five sets and labeled as 1. A similar number of songs from other clusters are then added to each set and labeled 0, training regression models to output a value representing how much a song is related to the specific cluster. The five outputs are combined and the highest score used as classification. An F-measure of 68.9% was obtained. Results were validated with 10-fold cross-validation and feature selection was tested.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.pt
dc.language.isoengpt
dc.relationinfo:eu-repo/grantAgreement/FCT/5876-PPCDTI/102185/PT/MOODetector - A System for Mood-based Classification and Retrieval of Audio Musicpt
dc.rightsopenAccesspt
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt
dc.titleMusic Emotion Classification: Analysis of a Classifier Ensemble Approachpt
dc.typeconferenceObjectpt
degois.publication.locationEdinburgh, UKpt
degois.publication.title5th International Workshop on Music and Machine Learning – MML 2012 – in conjunction with the 19th International Conference on Machine Learning – ICML 2012pt
dc.peerreviewedyespt
dc.date.embargo2012-01-01*
uc.date.periodoEmbargo0pt
item.grantfulltextopen-
item.fulltextCom Texto completo-
item.openairetypeconferenceObject-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
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.orcid0000-0003-2539-5590-
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-
Appears in Collections:I&D CISUC - Artigos em Livros de Actas
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