A comparative study between recent wavelet nonthresholding methods and the well-established spectral subtractive and statistical-model-based algorithms for speech enhancement under real noisy conditions

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dc.contributor.authorAbreu, Caio C. E. de [UNESP]
dc.contributor.authorTravassos, Natalia C. L. [UNESP]
dc.contributor.authorDuarte, Marco A. Q.
dc.contributor.authorVillarreal, Francisco [UNESP]
dc.contributor.authorIEEE
dc.contributor.institutionUniv Estado Mato Grosso
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Estadual de Mato Grosso do Sul (UEMS)
dc.date.accessioned2018-11-26T17:40:26Z
dc.date.available2018-11-26T17:40:26Z
dc.date.issued2016-01-01
dc.description.abstractIn this paper, a comparative study between current wavelet nonthresholding methods for speech enhancement and the well-established spectral subtractive and statistical-modelbased algorithms is performed. The development and evaluation of speech enhancement methods is essential in many branches of telecommunications and entertainment industry. Two classes of speech enhancement methods encompassing both, DFT and wavelet based methods, are evaluated and faced with the current wavelet nonthresholding schemes. Objective analysis taking into account various real noise environments are presented. Questions about wavelet thresholding performance on real noisy environments are discussed. Objective evaluations considering SNR improvement, correlation among original and enhanced sentences and PESQ scores shown that nonthresholding schemes overcome totally the wavelet thresholding methods in PESQ scores, besides performing equally well in noise suppression. A second objective is the identification, among the considered methods, of the more suitable to certain kind of real noisy conditions.en
dc.description.affiliationUniv Estado Mato Grosso, Dept Comp, Alto Araguaia, Brazil
dc.description.affiliationSao Paulo State Univ, Dept Elect Engn, Ilha Solteira, Brazil
dc.description.affiliationUniv Estadual Mato Grosso do Sul, Dept Math, Cassilandia, Brazil
dc.description.affiliationSao Paulo State Univ, Dept Math, Ilha Solteira, Brazil
dc.description.affiliationUnespSao Paulo State Univ, Dept Elect Engn, Ilha Solteira, Brazil
dc.description.affiliationUnespSao Paulo State Univ, Dept Math, Ilha Solteira, Brazil
dc.format.extent8
dc.identifier.citation2016 12th Ieee/ias International Conference On Industry Applications (induscon). New York: Ieee, 8 p., 2016.
dc.identifier.urihttp://hdl.handle.net/11449/163184
dc.identifier.wosWOS:000408912200041
dc.language.isoeng
dc.publisherIeee
dc.relation.ispartof2016 12th Ieee/ias International Conference On Industry Applications (induscon)
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectspeech enhancement
dc.subjectwavelet thresholding
dc.subjectspectral subtraction
dc.subjectwavelet nonthresholding methods
dc.subjectstatisticalmodel-based algorithms
dc.titleA comparative study between recent wavelet nonthresholding methods and the well-established spectral subtractive and statistical-model-based algorithms for speech enhancement under real noisy conditionsen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIeee

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Artigos - Engenharia Elétrica - FEIS
Artigos - Matemática - FEIS