Wavelet-packets Associated with Support Vector Machine Are Effective for Monophone Sorting in Music Signals

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.creatorScalvenzi, Rafael Rubiati [UNESP]-
Autor(es): dc.creatorGuido, Rodrigo Capobianco [UNESP]-
Autor(es): dc.creatorMarranghello, Norian [UNESP]-
Data de aceite: dc.date.accessioned2022-02-22T00:32:54Z-
Data de disponibilização: dc.date.available2022-02-22T00:32:54Z-
Data de envio: dc.date.issued2020-12-11-
Data de envio: dc.date.issued2020-12-11-
Data de envio: dc.date.issued2019-09-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1142/S1793351X19500028-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/201209-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/201209-
Descrição: dc.descriptionAn abstract interpretation is usually required to analyze acoustic compositions. Nevertheless, there is much signal processing-related research focusing on music processing and similar topics. In that context, the semantic information contained in the melody involving major and minor chords, sharps and flats associated with semibreve, minim, crotchet, quaver, semiquaver and demisemiquaver notes can help in the study of musical sounds. Thus, multiresolution analysis based on discrete wavelet-packet transform (DWPT) associated with a support vector machine (SVM) is used in this paper to inspect and classify those signals, correlating them with a respective acoustic pattern. Results over hundreds of inputs provided almost full accuracy, reassuring the efficacy of the proposed approach for both off-line and real-time usage.-
Descrição: dc.descriptionInstituto de Biociências Letras e Ciências Exatas Unesp-Univ Estadual Paulista São Paulo State University, Rua Cristóvão Colombo 2265-
Descrição: dc.descriptionInstituto de Biociências Letras e Ciências Exatas Unesp-Univ Estadual Paulista São Paulo State University, Rua Cristóvão Colombo 2265-
Formato: dc.format415-425-
Idioma: dc.languageen-
Relação: dc.relationInternational Journal of Semantic Computing-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectpattern recognition-
Palavras-chave: dc.subjectSemantics in digital music-
Palavras-chave: dc.subjectsupport vector machine-
Palavras-chave: dc.subjectwavelet-packets-
Título: dc.titleWavelet-packets Associated with Support Vector Machine Are Effective for Monophone Sorting in Music Signals-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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