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Simple meta-optimization of the feature MFCC for public emotional datasets classification

dc.contributor.authorCal Marín, Enrique Antonio de la 
dc.contributor.authorGallucci, A.
dc.contributor.authorVillar Flecha, José Ramón 
dc.contributor.authorYoshida, K.
dc.contributor.authorKoeppen, M.
dc.date.accessioned2022-03-11T07:29:59Z
dc.date.available2022-03-11T07:29:59Z
dc.date.issued2021
dc.identifier.isbn9783030862701
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/10651/62232
dc.descriptionInternational Conference on Hybrid Artificial Intelligence Systems, HAIS (16th. 2021. Bilbao)
dc.description.sponsorshipThis research has been funded partially by the Spanish Ministry of Economy, Industry and Competitiveness (MINECO) under grant TIN2017-84804-R/PID2020-112726RB-I00.
dc.format.extentp. 659-670
dc.language.isoeng
dc.relation.ispartofHybrid Artificial Intelligent Systems. 16th International Conference, HAIS 2021, Bilbao, Spain, September 22–24, 2021, Proceedings
dc.relation.ispartofseriesLecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics); 12886
dc.rights© 2021 Springer Nature Switzerland AG
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85115856860&doi=10.1007%2f978-3-030-86271-8_55&partnerID=40&md5=a061fab62262ddff2fc46ee112613e8c
dc.titleSimple meta-optimization of the feature MFCC for public emotional datasets classification
dc.typeconference outputspa
dc.identifier.doi10.1007/978-3-030-86271-8_55
dc.relation.projectIDMINECO/TIN2017-84804-R/PID2020-112726RB-I00
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-030-86271-8_55
dc.rights.accessRightsopen access
dc.type.hasVersionAM


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