Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/95169
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Panda, Renato | - |
dc.contributor.author | Paiva, Rui Pedro | - |
dc.date.accessioned | 2021-07-04T20:07:35Z | - |
dc.date.available | 2021-07-04T20:07:35Z | - |
dc.date.issued | 2012-09-17 | - |
dc.identifier.uri | https://hdl.handle.net/10316/95169 | - |
dc.description.abstract | In this paper we present an approach to emotion classification in audio music. The process is conducted with a dataset of 903 clips and mood labels, collected from Allmusic database, organized in five clusters similar to the dataset used in the MIREX Mood Classification Task. Three different audio frameworks - Marsyas, MIR Toolbox and Psysound, were used to extract several features. These audio features and annotations are used with supervised learning techniques to train and test various classifiers based on support vector machines. To access the importance of each feature several different combinations of features, obtained with feature selection algorithms or manually selected were tested. The performance of the solution was measured with 20 repetitions of 10-fold cross validation, achieving a F-measure of 47.2% with precision of 46.8% and recall of 47.6%. | pt |
dc.description.sponsorship | This work was supported by the MOODetector project (PTDC/EIA-EIA/102185/2008), financed by the Fundação para Ciência e Tecnologia - Portugal. | pt |
dc.language.iso | eng | 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.rights | openAccess | pt |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt |
dc.title | Music Emotion Classification: Dataset Acquisition and Comparative Analysis | pt |
dc.type | conferenceObject | pt |
degois.publication.location | York, UK | pt |
degois.publication.title | 15th International Conference on Digital Audio Effects – DAFx 2012 | pt |
dc.peerreviewed | yes | pt |
dc.date.embargo | 2012-09-17 | * |
uc.date.periodoEmbargo | 0 | pt |
item.grantfulltext | open | - |
item.fulltext | Com Texto completo | - |
item.openairetype | conferenceObject | - |
item.languageiso639-1 | en | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
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.orcid | 0000-0003-2539-5590 | - |
crisitem.author.orcid | 0000-0003-3215-3960 | - |
crisitem.project.grantno | info: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 |
Files in This Item:
File | Description | Size | Format | |
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Panda, Paiva - 2012 - Music Emotion Classification Dataset Acquisition and Comparative Analysis.pdf | 353.34 kB | Adobe PDF | View/Open |
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