Acoustic and temporal analysis of speech: A potential biomarker for schizophrenia.

2.50
Hdl Handle:
http://hdl.handle.net/10147/131985
Title:
Acoustic and temporal analysis of speech: A potential biomarker for schizophrenia.
Authors:
Rapcan, Viliam; D'Arcy, Shona; Yeap, Sherlyn; Afzal, Natasha; Thakore, Jogin; Reilly, Richard B
Affiliation:
Trinity Centre for Bioengineering, Trinity College Dublin, Dublin 2, Ireland. rapcanv@tcd.ie
Citation:
Acoustic and temporal analysis of speech: A potential biomarker for schizophrenia. 2010, 32 (9):1074-9 Med Eng Phys
Journal:
Medical engineering & physics
Issue Date:
Nov-2010
URI:
http://hdl.handle.net/10147/131985
DOI:
10.1016/j.medengphy.2010.07.013
PubMed ID:
20692864
Abstract:
Currently, there are no established objective biomarkers for the diagnosis or monitoring of schizophrenia. It has been previously reported that there are notable qualitative differences in the speech of schizophrenics. The objective of this study was to determine whether a quantitative acoustic and temporal analysis of speech may be a potential biomarker for schizophrenia. In this study, 39 schizophrenic patients and 18 controls were digitally recorded reading aloud an emotionally neutral text passage from a children's story. Temporal, energy and vocal pitch features were automatically extracted from the recordings. A classifier based on linear discriminant analysis was employed to differentiate between controls and schizophrenic subjects. Processing the recordings with the algorithm developed demonstrated that it is possible to differentiate schizophrenic patients and controls with a classification accuracy of 79.4% (specificity=83.6%, sensitivity=75.2%) based on speech pause related parameters extracted from recordings carried out in standard office (non-studio) environments. Acoustic and temporal analysis of speech may represent a potential tool for the objective analysis in schizophrenia.
Item Type:
Article In Press
Language:
en
MeSH:
Acoustics; Adult; Biological Markers; Case-Control Studies; Female; Humans; Male; Schizophrenia; Speech; Time Factors
ISSN:
1873-4030

Full metadata record

DC FieldValue Language
dc.contributor.authorRapcan, Viliamen
dc.contributor.authorD'Arcy, Shonaen
dc.contributor.authorYeap, Sherlynen
dc.contributor.authorAfzal, Natashaen
dc.contributor.authorThakore, Joginen
dc.contributor.authorReilly, Richard Ben
dc.date.accessioned2011-05-25T12:54:28Z-
dc.date.available2011-05-25T12:54:28Z-
dc.date.issued2010-11-
dc.identifier.citationAcoustic and temporal analysis of speech: A potential biomarker for schizophrenia. 2010, 32 (9):1074-9 Med Eng Physen
dc.identifier.issn1873-4030-
dc.identifier.pmid20692864-
dc.identifier.doi10.1016/j.medengphy.2010.07.013-
dc.identifier.urihttp://hdl.handle.net/10147/131985-
dc.description.abstractCurrently, there are no established objective biomarkers for the diagnosis or monitoring of schizophrenia. It has been previously reported that there are notable qualitative differences in the speech of schizophrenics. The objective of this study was to determine whether a quantitative acoustic and temporal analysis of speech may be a potential biomarker for schizophrenia. In this study, 39 schizophrenic patients and 18 controls were digitally recorded reading aloud an emotionally neutral text passage from a children's story. Temporal, energy and vocal pitch features were automatically extracted from the recordings. A classifier based on linear discriminant analysis was employed to differentiate between controls and schizophrenic subjects. Processing the recordings with the algorithm developed demonstrated that it is possible to differentiate schizophrenic patients and controls with a classification accuracy of 79.4% (specificity=83.6%, sensitivity=75.2%) based on speech pause related parameters extracted from recordings carried out in standard office (non-studio) environments. Acoustic and temporal analysis of speech may represent a potential tool for the objective analysis in schizophrenia.-
dc.language.isoenen
dc.subject.meshAcoustics-
dc.subject.meshAdult-
dc.subject.meshBiological Markers-
dc.subject.meshCase-Control Studies-
dc.subject.meshFemale-
dc.subject.meshHumans-
dc.subject.meshMale-
dc.subject.meshSchizophrenia-
dc.subject.meshSpeech-
dc.subject.meshTime Factors-
dc.titleAcoustic and temporal analysis of speech: A potential biomarker for schizophrenia.en
dc.typeArticle In Pressen
dc.contributor.departmentTrinity Centre for Bioengineering, Trinity College Dublin, Dublin 2, Ireland. rapcanv@tcd.ieen
dc.identifier.journalMedical engineering & physicsen
dc.description.provinceLeinster-

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