Aplicação de estatísticas de formantes e MVKD à comparação forense de locutor

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dc.creatorAdelino Pinheiro Silva
dc.creatorMaurílio Nunes Vieira
dc.creatorAdriano Vilela Barbosa
dc.date.accessioned2025-04-09T13:04:31Z
dc.date.accessioned2025-09-09T00:13:18Z
dc.date.available2025-04-09T13:04:31Z
dc.date.issued2018
dc.identifier.urihttps://hdl.handle.net/1843/81396
dc.languagepor
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofXXXVI Simpósio Brasileiro de Telecomunicações e Processamento de Sinais - SBrT 2018
dc.rightsAcesso Aberto
dc.subjectProcessamento de sinais - Técnicas digitais
dc.subjectEletrônica digital
dc.subject.otherForensic Speaker Comparison, Formant analyze, Multivariate Kernel-Density, Equal Error Rate
dc.titleAplicação de estatísticas de formantes e MVKD à comparação forense de locutor
dc.typeArtigo de evento
local.description.resumoForensic speaker comparison (FSC) consists of comparing an unknown audio recording to a known one with the aim of determining whether both recordings come from the same individual. The unknown recording comes from phone lawful interception, which means it is narrowband, GSM-encoded and corrupted by channel noise. This work examines the discriminating power of descriptive statistics computed from formants in short segments of speech. In an attempt to emulate forensic conditions, the recordings were contaminated with six levels of pink noise. Comparisons were performed by a likelihood ratio (LR) framework using the Multivariate Kernel Density (MVKD). The best mean equal error rate (EER) obtained was 12.3% combining formant frequency and band.
local.publisher.countryBrasil
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA
local.publisher.initialsUFMG
local.url.externahttps://biblioteca.sbrt.org.br/articlefile/1697.pdf

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