Forensic speaker verification using ordinary least squares

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorMato Grosso Federal Institute of Technology-
Autor(es): dc.creatorMachado, Thyago J. [UNESP]-
Autor(es): dc.creatorFilho, Jozue Vieira [UNESP]-
Autor(es): dc.creatorde Oliveira, Mario A.-
Data de aceite: dc.date.accessioned2022-02-22T00:33:00Z-
Data de disponibilização: dc.date.available2022-02-22T00:33:00Z-
Data de envio: dc.date.issued2020-12-11-
Data de envio: dc.date.issued2020-12-11-
Data de envio: dc.date.issued2019-10-02-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.3390/s19204385-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/201239-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/201239-
Descrição: dc.descriptionIn Brazil, the recognition of speakers for forensic purposes still relies on a subjectivity-based decision-making process through a results analysis of untrustworthy techniques. Owing to the lack of a voice database, speaker verification is currently applied to samples specifically collected for confrontation. However, speaker comparative analysis via contested discourse requires the collection of an excessive amount of voice samples for a series of individuals. Further, the recognition system must inform who is the most compatible with the contested voice from pre-selected individuals. Accordingly, this paper proposes using a combination of linear predictive coding (LPC) and ordinary least squares (OLS) as a speaker verification tool for forensic analysis. The proposed recognition technique establishes confidence and similarity upon which to base forensic reports, indicating verification of the speaker of the contested discourse. Therefore, in this paper, an accurate, quick, alternative method to help verify the speaker is contributed. After running seven different tests, this study preliminarily achieved a hit rate of 100% considering a limited dataset (Brazilian Portuguese). Furthermore, the developed method extracts a larger number of formants, which are indispensable for statistical comparisons via OLS. The proposed framework is robust at certain levels of noise, for sentences with the suppression of word changes, and with different quality or even meaningful audio time differences.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionCampus of Ilha Solteira São Paulo State University (UNESP)-
Descrição: dc.descriptionTelecommunications and Aeronautical Engineering São Paulo State University (UNESP)-
Descrição: dc.descriptionAutomation and Control Engineering Mato Grosso Federal Institute of Technology-
Descrição: dc.descriptionCampus of Ilha Solteira São Paulo State University (UNESP)-
Descrição: dc.descriptionTelecommunications and Aeronautical Engineering São Paulo State University (UNESP)-
Descrição: dc.descriptionCAPES: 001-
Idioma: dc.languageen-
Relação: dc.relationSensors (Switzerland)-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectForensic phonetics-
Palavras-chave: dc.subjectForensic speaker comparison-
Palavras-chave: dc.subjectLinear predictive coding (LPC)-
Palavras-chave: dc.subjectOrdinary least squares (OLS)-
Palavras-chave: dc.subjectVoice processing-
Título: dc.titleForensic speaker verification using ordinary least squares-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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