Uma contribuição para a caracterização do sinal de voz envelhecida
Ano de defesa: | 2010 |
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Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | |
Tipo de documento: | Dissertação |
Tipo de acesso: | Acesso aberto |
Idioma: | por |
Instituição de defesa: |
Programa de Pós-graduação em Engenharia de Telecomunicações
Engenharia de Telecomunicações |
Programa de Pós-Graduação: |
Não Informado pela instituição
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Departamento: |
Não Informado pela instituição
|
País: |
Não Informado pela instituição
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Palavras-chave em Português: | |
Link de acesso: | https://app.uff.br/riuff/handle/1/18983 |
Resumo: | Voice aging, also known as presbyphonia, consists in the deterioration of speech resulting from anatomical and physiological changes associated with aging. This dissertation aims to study of acoustic parameters extracted from the human voice, which may be used to characterize it as an aged voice. A comparison involving speech signal, electroglottographic signal, and glottal signal (obtained from speech signal by means of an inverse filtering) was performed. Voices were recorded from male and female speakers, in good health conditions and various ages; and were divided in age groups named youngsters, adults, and seniors. As a result of this study, modifications in acoustical parameters of voice, related to the chronological age of speakers, were identified. As an application of the study, a neural network was used to classify the ages, based on acoustical parameters of voice |