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Can the acoustic analysis of expressive prosody discriminate schizophrenia?
Martínez-Sánchez, Francisco; Muela-Martínez, José Antonio; Cortés-Soto, Pedro; García Meilán, Juan José; Vera Ferrándiz, Juan Antonio; Egea Caparrós, Amaro; Pujante Valverde, Isabel María.
Afiliação
  • Martínez-Sánchez, Francisco; Universidad de Murcia. Murcia. Spain
  • Muela-Martínez, José Antonio; Universidad de Jaén. Jaén. Spain
  • Cortés-Soto, Pedro; Universidad de Jaén. Jaén. Spain
  • García Meilán, Juan José; Universidad de Salamanca. Salamanca. Spain
  • Vera Ferrándiz, Juan Antonio; Universidad de Murcia. Murcia. Spain
  • Egea Caparrós, Amaro; Universidad de Murcia. Murcia. Spain
  • Pujante Valverde, Isabel María; Universidad de Murcia. Murcia. Spain
Span. j. psychol ; 18: e86.1-e86.9, 2015. tab, ilus
Artigo em Inglês | IBECS | ID: ibc-146411
Biblioteca responsável: ES1.1
Localização: BNCS
ABSTRACT
Emotional states, attitudes and intentions are often conveyed by modulations in the tone of voice. Impaired recognition of emotions from a tone of voice (receptive prosody) has been described as characteristic symptoms of schizophrenia. However, the ability to express non-verbal information in speech (expressive prosody) has been understudied. This paper describes a useful technique for quantifying the degree of expressive prosody deficits in schizophrenia, using a semi-automatic method, and evaluates this method’s ability to discriminate between patient and control groups. Forty-five medicated patients with a diagnosis of schizophrenia were matched with thirty-five healthy comparison subjects. Production of expressive prosodic speech was analyzed using variation in fundamental frequency (F0) measures on an emotionally neutral reading task. Results revealed that patients with schizophrenia exhibited significantly more pauses (p < .001), were slower (p < .001), and showed less pitch variability in speech (p < .05) and fewer variations in syllable timing (p < .001) than control subjects. These features have been associated with «flat» speech prosody. Signal processing algorithms applied to speech were shown to be capable of discriminating between patients and controls with an accuracy of 93.8%. These speech parameters may have a diagnostic and prognosis value and therefore could be used as a dependent measure in clinical trials (AU)
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Coleções: Bases de dados nacionais / Espanha Base de dados: IBECS Assunto principal: Esquizofrenia / Acústica da Fala Tipo de estudo: Estudo observacional / Estudo de prevalência / Estudo prognóstico Limite: Adulto / Feminino / Humanos / Masculino Idioma: Inglês Revista: Span. j. psychol Ano de publicação: 2015 Tipo de documento: Artigo Instituição/País de afiliação: Universidad de Jaén/Spain / Universidad de Murcia/Spain / Universidad de Salamanca/Spain
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Coleções: Bases de dados nacionais / Espanha Base de dados: IBECS Assunto principal: Esquizofrenia / Acústica da Fala Tipo de estudo: Estudo observacional / Estudo de prevalência / Estudo prognóstico Limite: Adulto / Feminino / Humanos / Masculino Idioma: Inglês Revista: Span. j. psychol Ano de publicação: 2015 Tipo de documento: Artigo Instituição/País de afiliação: Universidad de Jaén/Spain / Universidad de Murcia/Spain / Universidad de Salamanca/Spain
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