Evidence for depression and schizophrenia in speech prosody

Roi Kliper, Yonatan Vaizman, Daphna Weinshall, Shirley Portuguese

Research output: Contribution to conferencePaperpeer-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 languageAmerican English
Pages85-88
Number of pages4
StatePublished - 2010
Event3rd ISCA Tutorial and Research Workshop on Experimental Linguistics, ExLing 2010 - Athens, Greece
Duration: 25 Aug 201027 Aug 2010

Conference

Conference3rd ISCA Tutorial and Research Workshop on Experimental Linguistics, ExLing 2010
Country/TerritoryGreece
CityAthens
Period25/08/1027/08/10

Bibliographical note

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

Keywords

  • Depression
  • Schizophrenia
  • Speech analysis

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