Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/95170
DC Field | Value | Language |
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dc.contributor.author | Panda, Renato | - |
dc.contributor.author | Paiva, Rui Pedro | - |
dc.date.accessioned | 2021-07-04T20:21:58Z | - |
dc.date.available | 2021-07-04T20:21:58Z | - |
dc.date.issued | 2011-07-06 | - |
dc.identifier.isbn | 978-88-97385-03-5 | - |
dc.identifier.issn | 2518-3672 | - |
dc.identifier.uri | https://hdl.handle.net/10316/95170 | - |
dc.description.abstract | We propose an approach for the automatic creation of mood playlists in the Thayer plane (TP). Music emotion recognition is tackled as a regression and classification problem, aiming to predict the arousal and valence (AV) values of each song in the TP, based on Yang's dataset. To this end, a high number of audio features are extracted using three frameworks: PsySound, MIR Toolbox and Marsyas. The extracted features and Yang's annotated AV values are used to train several Support Vector Regressors, each employing different feature sets. The best performance, in terms of R2statistics, was attained after feature selection, reaching 63% for arousal and 35.6% for valence. Based on the predicted location of each song in the TP, mood playlists can be created by specifying a point in the plane, from which the closest songs are retrieved. Using one seed song, the accuracy of the created playlists was 62.3% for 20-song playlists, 24.8% for 5-song playlists and 6.2% for the top song. | pt |
dc.description.sponsorship | This work was supported by the MOODetector project (PTDC/EIA-EIA/102185/2008), financed by the Funda- ção 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.subject | classification | pt |
dc.subject | mood detection | pt |
dc.subject | music emotion recognition | pt |
dc.subject | playlist generation | pt |
dc.subject | regression | pt |
dc.title | Automatic Creation of Mood Playlists in the Thayer Plane: A Methodology and a Comparative Study | pt |
dc.type | conferenceObject | pt |
degois.publication.location | Padova, Italy | pt |
degois.publication.title | 8th Sound and Music Computing Conference (SMC2011) | pt |
dc.peerreviewed | yes | pt |
dc.identifier.doi | 10.5281/zenodo.849887 | - |
dc.identifier.doi | 10.5281/zenodo.849886 | - |
dc.date.embargo | 2011-07-06 | * |
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 - 2011 - Automatic Creation of Mood Playlists in the Thayer Plane A Methodology and a Comparative Study.pdf | 515.8 kB | Adobe PDF | View/Open |
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