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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

The Spanish journal of psychology, 2015-01, Vol.18, p.E86-E86, Article E86 [Peer Reviewed Journal]

Cambridge, UK: Cambridge University Press

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Title:
Can the Acoustic Analysis of Expressive Prosody Discriminate Schizophrenia?
Author: 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
Subjects: Acoustic analysis ; Acoustics ; Adult ; Analisis ; Aspectos psicologicos ; Case-Control Studies ; Clinical and Health Psychology ; Clinical research ; Clinical trials ; Cross-Sectional Studies ; Cuidado y tratamiento ; Emotion recognition ; Emotional states ; Emotions ; Esquizofrenia ; Expresion facial ; Female ; Fundamental frequency ; Humans ; Informes ; Investigacion psicologica ; Larynx ; Male ; Medical diagnosis ; Medical prognosis ; Mental health ; Observaciones ; Patients ; Perceptions ; Phonetics ; Prosody ; Psychology ; Research subjects ; Retrospective Studies ; Schizophrenia ; Schizophrenia - diagnosis ; Schizophrenic Language ; Schizophrenic Psychology ; Sistemas de comunicacion ; Speech ; Speech Acoustics ; Timing ; Validity ; Voz
Is Part Of: The Spanish journal of psychology, 2015-01, Vol.18, p.E86-E86, Article E86
Notes: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Description: 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.
Publisher: Cambridge, UK: Cambridge University Press
Language: English;Spanish

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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

Cambridge, UK: Cambridge University Press

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