Publication
MERGE App: A Prototype Software for Multi-User Emotion-Aware Music Management
dc.contributor.author | Louro, Pedro | |
dc.contributor.author | Branco, Guilherme | |
dc.contributor.author | Redinho, Hugo | |
dc.contributor.author | Santos, Ricardo Correia Nascimento Dos | |
dc.contributor.author | Malheiro, Ricardo | |
dc.contributor.author | Panda, Renato | |
dc.contributor.author | Paiva, Rui Pedro | |
dc.date.accessioned | 2024-11-27T11:37:26Z | |
dc.date.available | 2024-11-27T11:37:26Z | |
dc.date.issued | 2024-11-17 | |
dc.date.updated | 2024-11-27T11:28:26Z | |
dc.description.abstract | We present a prototype software for multi-user music library management using the perceived emotional content of songs. The tool offers music playback features, song filtering by metadata, and automatic emotion prediction based on arousal and valence, with the possibility of personalizing the predictions by allowing each user to edit these values based on their own emotion assessment. This is an important feature for handling both classification errors and subjectivity issues, which are inherent aspects of emotion perception. A path-based playlist generation function is also implemented. A multi-modal audio-lyrics regression methodology is proposed for emotion prediction, with accompanying validation experiments on the MERGE dataset. The results obtained are promising, showing higher overall performance on train-validate-test splits (73.20% F1-score with the best dataset/split combination). | pt_PT |
dc.description.sponsorship | This work is funded by FCT - Foundation for Science and Technology, I.P., within the scope of the projects: MERGE - DOI: 10.54499/PTDC/CCICOM/3171/2021 financed with national funds (PIDDAC) via the Portuguese State Budget; and project CISUC - UID/CEC/00326/2020 with funds from the European Social Fund, through the Regional Operational Program Centro 2020. Renato Panda was supported by Ci2 - FCT UIDP/05567/2020. We thank all reviewers for their valuable suggestions, which help to improve the article. | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.doi | 10.5220/0013067800003838 | pt_PT |
dc.identifier.isbn | 978-989-758-716-0 | |
dc.identifier.issn | 2184-3228 | |
dc.identifier.slug | cv-prod-4217646 | |
dc.identifier.uri | http://hdl.handle.net/10400.26/52922 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | SCITEPRESS - Science and Technology Publications | pt_PT |
dc.relation | UID/CEC/00326/2020 | pt_PT |
dc.relation | Music Emotion Recognition - Next Generation | |
dc.relation.publisherversion | https://www.scitepress.org/PublicationsDetail.aspx?ID=FwpEULZCBIY=&t=1 | pt_PT |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | pt_PT |
dc.subject | Music Emotion Recognition | pt_PT |
dc.subject | Machine Learning | pt_PT |
dc.subject | Deep Learning | pt_PT |
dc.subject | Software | pt_PT |
dc.subject | Music Information Retrieval | pt_PT |
dc.title | MERGE App: A Prototype Software for Multi-User Emotion-Aware Music Management | pt_PT |
dc.type | conference object | |
dspace.entity.type | Publication | |
oaire.awardTitle | Music Emotion Recognition - Next Generation | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FCCI-COM%2F3171%2F2021/PT | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017%2F2018) - Financiamento Programático/UIDP%2F05567%2F2020/PT | |
oaire.citation.conferencePlace | Porto, Portugal | pt_PT |
oaire.citation.endPage | 166 | pt_PT |
oaire.citation.startPage | 159 | pt_PT |
oaire.citation.title | 16th International Conference on Knowledge Discovery and Information Retrieval (KDIR), part of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K) | pt_PT |
oaire.fundingStream | 3599-PPCDT | |
oaire.fundingStream | Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017/2018) - Financiamento Programático | |
person.familyName | Lima Louro | |
person.familyName | Menezes Garrido Branco | |
person.familyName | Redinho | |
person.familyName | Santos | |
person.familyName | Malheiro | |
person.familyName | Panda | |
person.familyName | Pinto de Carvalho e Paiva | |
person.givenName | Pedro Miguel | |
person.givenName | Guilherme | |
person.givenName | Hugo | |
person.givenName | Ricardo | |
person.givenName | Ricardo | |
person.givenName | Renato | |
person.givenName | Rui Pedro | |
person.identifier | WT5afVUAAAAJ | |
person.identifier.ciencia-id | C315-8AA7-2C25 | |
person.identifier.ciencia-id | 2919-7B95-2B49 | |
person.identifier.ciencia-id | 4517-42EE-8B4D | |
person.identifier.ciencia-id | E810-9972-C731 | |
person.identifier.ciencia-id | B81A-CB99-A4DF | |
person.identifier.ciencia-id | 661A-31CC-8D19 | |
person.identifier.ciencia-id | AA16-002F-5AE3 | |
person.identifier.orcid | 0000-0003-3201-6990 | |
person.identifier.orcid | 0000-0003-4073-1716 | |
person.identifier.orcid | 0009-0004-1547-2251 | |
person.identifier.orcid | 0000-0001-5663-7228 | |
person.identifier.orcid | 0000-0002-3010-2732 | |
person.identifier.orcid | 0000-0003-2539-5590 | |
person.identifier.orcid | 0000-0003-3215-3960 | |
person.identifier.rid | L-9369-2017 | |
person.identifier.scopus-author-id | 55354413900 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
rcaap.cv.cienciaid | 661A-31CC-8D19 | Renato Eduardo Silva Panda | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | conferenceObject | pt_PT |
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