Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/347059
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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampRosário, João Maurício-
dc.typeArtigopt_BR
dc.titleComparative analysis of the mel frequency cepstral coefficients for voiced and silent speechpt_BR
dc.contributor.authorGongora, Leonardo-
dc.contributor.authorRamos, Olga-
dc.contributor.authorMauricio, Joao-
dc.subjectVelocidadept_BR
dc.subject.otherlanguageSpeedpt_BR
dc.description.abstractThe extraction of representative characteristics from voice signals, is the basic step for any application where speech signal processing is performed. In this paper, a comparative analysis of the Mel frequency cepstral coefficients, extracted from samples of voiced and silent speech is exposed. The classical methodology for extracting Mel frequency cepstral coefficient is evaluated to show the implementation steps and the robustness of such kind of features representing in a unique form the statistical and representative information of time varying signals. To achieve this comprehensive evaluation, first, a contextualization in theoretical terms of the methodology is performed to show the mathematical basis for the coefficient extraction. Each step of the process is analyzed in terms of the representative information of the coefficients. Therefore an evaluation in comparative terms against the previous developments for data interpretation is done. The coefficients are extracted using the classical implementation of the Mel frequency cepstral coefficient feature extraction process in a free software framework implemented in Matlab®. The results show the robustness of the Mel frequency cepstral coefficient algorithm in the characterization of voiced and silent speech signals, which represents an advantage for the construction of any kind of speech processing systemspt_BR
dc.relation.ispartofInternational journal on communications antenna and propagationpt_BR
dc.publisher.cityLondonpt_BR
dc.publisher.countryReino Unidopt_BR
dc.publisherPraise Worthy Prizept_BR
dc.date.issued2016-
dc.date.monthofcirculationOct.pt_BR
dc.language.isoengpt_BR
dc.description.volume6pt_BR
dc.description.firstpage255pt_BR
dc.description.lastpage265pt_BR
dc.rightsFechadopt_BR
dc.sourceSCOPUSpt_BR
dc.identifier.issn2039-5086pt_BR
dc.identifier.eissn2039-5094pt_BR
dc.identifier.doi10.15866/irecap.v6i5.10271pt_BR
dc.identifier.urlhttp://www.praiseworthyprize.org/jsm/index.php?journal=irecap&page=article&op=view&path[]=17928pt_BR
dc.date.available2020-08-10T19:34:02Z-
dc.date.accessioned2020-08-10T19:34:02Z-
dc.description.provenanceSubmitted by Susilene Barbosa da Silva (susilene@unicamp.br) on 2020-08-10T19:34:02Z No. of bitstreams: 0en
dc.description.provenanceMade available in DSpace on 2020-08-10T19:34:02Z (GMT). No. of bitstreams: 0 Previous issue date: 2016en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/347059-
dc.contributor.departmentDepartamento de Sistemas Integradospt_BR
dc.contributor.unidadeFaculdade de Engenharia Mecânicapt_BR
dc.subject.keywordAcceleration coefficientspt_BR
dc.subject.keywordCepstral analysispt_BR
dc.subject.keywordMel frequency cepstral coefficientspt_BR
dc.identifier.source2-s2.0-85014482810pt_BR
dc.creator.orcidsem informaçãopt_BR
dc.type.formArtigopt_BR
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