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dc.contributor.authorTahir, Yasiren
dc.contributor.authorYang, Zixuen
dc.contributor.authorChakraborty, Debsubhraen
dc.contributor.authorThalmann, Nadiaen
dc.contributor.authorThalmann, Danielen
dc.contributor.authorManiam, Yogeswaryen
dc.contributor.authorTan, Bhing-Leeten
dc.contributor.authorDauwels, Justinen
dc.contributor.authorNur Amirah Abdul Rashiden
dc.contributor.authorLee, Jimmy Chee Keongen
dc.contributor.editorGuloksuz, Sinanen
dc.identifier.citationTahir, Y., Yang, Z., Chakraborty, D., Thalmann, N., Thalmann, D., Maniam, Y., . . . Dauwels, J. (2019). Non-verbal speech cues as objective measures for negative symptoms in patients with schizophrenia. PLOS ONE, 14(4), e0214314-. doi:10.1371/journal.pone.0214314en
dc.description.abstractNegative symptoms in schizophrenia are associated with significant burden and possess little to no robust treatments in clinical practice today. One key obstacle impeding the development of better treatment methods is the lack of an objective measure. Since negative symptoms almost always adversely affect speech production in patients, speech dysfunction have been considered as a viable objective measure. However, researchers have mostly focused on the verbal aspects of speech, with scant attention to the non-verbal cues in speech. In this paper, we have explored non-verbal speech cues as objective measures of negative symptoms of schizophrenia. We collected an interview corpus of 54 subjects with schizophrenia and 26 healthy controls. In order to validate the non-verbal speech cues, we computed the correlation between these cues and the NSA-16 ratings assigned by expert clinicians. Significant correlations were obtained between these non-verbal speech cues and certain NSA indicators. For instance, the correlation between Turn Duration and Restricted Speech is -0.5, Response time and NSA Communication is 0.4, therefore indicating that poor communication is reflected in the objective measures, thus validating our claims. Moreover, certain NSA indices can be classified into observable and non-observable classes from the non-verbal speech cues by means of supervised classification methods. In particular the accuracy for Restricted speech quantity and Prolonged response time are 80% and 70% respectively. We were also able to classify healthy and patients using non-verbal speech features with 81.3% accuracy.en
dc.description.sponsorshipNRF (Natl Research Foundation, S’pore)en
dc.description.sponsorshipNMRC (Natl Medical Research Council, S’pore)en
dc.format.extent17 p.en
dc.relation.ispartofseriesPLOS ONEen
dc.rights© 2019 Tahir et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en
dc.subjectVerbal Communicationen
dc.titleNon-verbal speech cues as objective measures for negative symptoms in patients with schizophreniaen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen
dc.contributor.schoolLee Kong Chian School of Medicine (LKCMedicine)en
dc.contributor.organizationInstitute for Media Innovationen
dc.description.versionPublished versionen
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