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Análise de reconhecedor de fala dependente de locutor quando usado para locutores não treinados

The present paper proposes to develop an evaluation of a speech recognition tool to analyze the accuracy rate variation against the parameters variations for both vocal features and peculiar parameters controlled by the respective tool. The focus in this study is the case where different speaker gro...

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Autor principal: Pavelski, Guilherme Antonio
Formato: Trabalho de Conclusão de Curso (Graduação)
Idioma: Português
Publicado em: Universidade Tecnológica Federal do Paraná 2020
Assuntos:
Reconhecimento automático da voz
Processamento de sinais - Técnicas digitais
Markov, Espectro de
Fonética
Engenharia elétrica
Automatic speech recognition
Signal processing - Digital technique
Markov spectrum
Phonetics
Electric engineering
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA::ELETRONICA INDUSTRIAL, SISTEMAS E CONTROLES ELETRONICOS::AUTOMACAO ELETRONICA DE PROCESSOS ELETRICOS E INDUSTRIAIS
Acesso em linha: http://repositorio.utfpr.edu.br/jspui/handle/1/9824
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Resumo: The present paper proposes to develop an evaluation of a speech recognition tool to analyze the accuracy rate variation against the parameters variations for both vocal features and peculiar parameters controlled by the respective tool. The focus in this study is the case where different speaker groups are used in order to training and testing the speech recognition system. This work discuss the use of speech recognition based on Hidden Markov Models and sweep line algorithms to search the best results. A tutorial for the tool was also developed in order to detail the steps of the recognition system preparation.

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