Publication
F0, LPC, and MFCC analysis for emotion recognition based on speech
| dc.contributor.author | Teixeira, Felipe | |
| dc.contributor.author | Teixeira, João Paulo | |
| dc.contributor.author | Soares, Salviano | |
| dc.contributor.author | Abreu, J.L. Pio | |
| dc.date.accessioned | 2023-03-16T09:36:24Z | |
| dc.date.available | 2023-03-16T09:36:24Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | In this work, research was done to understand what is needed to build a database to recognise emotions through speech. Some features that can highlight a good success rate for emotion recognition through speech were investigated. Also studied were some characteristics (symptoms) that can be associated with a specific emotional state. On the other hand, we also studied some features that can be used to identify some emotional states. A System Emotion Recognition (SER) was built with SVM, and the binary analysis was compared with a multi-category analysis. The binary analysis achieved an accuracy of 87.5% and the multi-class 42.6%. The parameters Fundamental Frequency-F0, Linear Predictive Coefficients (LPC), and Mel Frequency Cepstral Coeficients (MFCC) were used. The modest accuracy of this work was achieved using only F0, LPC and MFCC features. | pt_PT |
| dc.description.sponsorship | This work has the support of Research Centre in Digitalization and Intelligent Robotics (CEDRI), Instituto Polit´ecnico de Bragan¸ca (IPB), School of Sciences and Technology-Engineering Department (UTAD). This project is supported by the European Regional Development Fund (ERDF) through the Regional Operational Program North 2020, within the scope of Project GreenHealth - Digital strategies in biological assets to improve well-being and promote green health, Norte -01-0 145-FEDER-000042. The authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020) and SusTEC (LA/P/0007/ 2021). | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Teixeira, Felipe L.; Teixeira, João Paulo; Soares, Salviano F.P.; Abreu, J.L.Pio (2022). F0, LPC, and MFCC analysis for emotion recognition based on speech. In Second International Conference, OL2A 2022. Bragança. 1754, p.389-404 | pt_PT |
| dc.identifier.doi | 10.1007/978-3-031-23236-7_27 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10198/27765 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Springer Nature | pt_PT |
| dc.relation | LA/P/0007/2021 | pt_PT |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Emotional state | pt_PT |
| dc.subject | Speech | pt_PT |
| dc.subject | SVM | pt_PT |
| dc.title | F0, LPC, and MFCC analysis for emotion recognition based on speech | pt_PT |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT | |
| oaire.citation.conferencePlace | Bragança | pt_PT |
| oaire.citation.endPage | 404 | pt_PT |
| oaire.citation.startPage | 389 | pt_PT |
| oaire.citation.title | Second International Conference, OL2A 2022 | pt_PT |
| oaire.citation.volume | 1754 | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| person.familyName | Teixeira | |
| person.familyName | Teixeira | |
| person.givenName | Felipe | |
| person.givenName | João Paulo | |
| person.identifier | 663194 | |
| person.identifier.ciencia-id | 0E17-62FB-AA17 | |
| person.identifier.ciencia-id | 4F15-B322-59B4 | |
| person.identifier.orcid | 0000-0002-6679-5702 | |
| person.identifier.rid | N-6576-2013 | |
| person.identifier.scopus-author-id | 57069567500 | |
| 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.rights | restrictedAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
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