Evidence for depression and schizophrenia in speech prosody

Roi Kliper; Yonatan Vaizman; Daphna Weinshall; Shirley Portuguese

Evidence for depression and schizophrenia in speech prosody

Roi Kliper, Yonatan Vaizman, Daphna Weinshall, Shirley Portuguese

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Contribution to conference › Paper › peer-review

6 Scopus citations

Abstract

We developed automatic computational tools for the monitoring of pathological mental states – including characterization, detection, and classification. We show that simple temporal domain features of speech may be used to correctly classify up to 80% of the speakers in a two-way classification task. We further show that some features strongly correlate with certain diagnostic evaluation scales, suggesting the contribution of such acoustic speech properties to the perception of an apparent mental condition.

Original language	English
Pages	85-88
Number of pages	4
State	Published - 2010
Event	3rd ISCA Tutorial and Research Workshop on Experimental Linguistics, ExLing 2010 - Athens, Greece Duration: 25 Aug 2010 → 27 Aug 2010

Conference

Conference	3rd ISCA Tutorial and Research Workshop on Experimental Linguistics, ExLing 2010
Country/Territory	Greece
City	Athens
Period	25/08/10 → 27/08/10

Bibliographical note

Publisher Copyright:
© 2010 3rd ITRW on Experimental Linguistics, ExLing 2010. All rights reserved.

Keywords

Depression
Schizophrenia
Speech analysis

Cite this

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title = "Evidence for depression and schizophrenia in speech prosody",

abstract = "We developed automatic computational tools for the monitoring of pathological mental states – including characterization, detection, and classification. We show that simple temporal domain features of speech may be used to correctly classify up to 80% of the speakers in a two-way classification task. We further show that some features strongly correlate with certain diagnostic evaluation scales, suggesting the contribution of such acoustic speech properties to the perception of an apparent mental condition.",

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AU - Kliper, Roi

AU - Vaizman, Yonatan

AU - Weinshall, Daphna

AU - Portuguese, Shirley

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N2 - We developed automatic computational tools for the monitoring of pathological mental states – including characterization, detection, and classification. We show that simple temporal domain features of speech may be used to correctly classify up to 80% of the speakers in a two-way classification task. We further show that some features strongly correlate with certain diagnostic evaluation scales, suggesting the contribution of such acoustic speech properties to the perception of an apparent mental condition.

AB - We developed automatic computational tools for the monitoring of pathological mental states – including characterization, detection, and classification. We show that simple temporal domain features of speech may be used to correctly classify up to 80% of the speakers in a two-way classification task. We further show that some features strongly correlate with certain diagnostic evaluation scales, suggesting the contribution of such acoustic speech properties to the perception of an apparent mental condition.

KW - Depression

KW - Schizophrenia

KW - Speech analysis

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T2 - 3rd ISCA Tutorial and Research Workshop on Experimental Linguistics, ExLing 2010

Y2 - 25 August 2010 through 27 August 2010

ER -

Evidence for depression and schizophrenia in speech prosody

Abstract

Conference

Bibliographical note

Keywords

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Cite this