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dc.contributor.authorTrevino, Andrea Carolina
dc.contributor.authorMalyska, Nicolas
dc.contributor.authorQuatieri, Thomas F.
dc.date.accessioned2012-04-04T14:02:12Z
dc.date.available2012-04-04T14:02:12Z
dc.date.issued2011-08
dc.date.submitted2010-08
dc.identifier.issn1110-8657
dc.identifier.issn1687-0433
dc.identifier.urihttp://hdl.handle.net/1721.1/69917
dc.description.abstractOf increasing importance in the civilian and military population is the recognition of major depressive disorder at its earliest stages and intervention before the onset of severe symptoms. Toward the goal of more effective monitoring of depression severity, we introduce vocal biomarkers that are derived automatically from phonologically-based measures of speech rate. To assess our measures, we use a 35-speaker free-response speech database of subjects treated for depression over a 6-week duration. We find that dissecting average measures of speech rate into phone-specific characteristics and, in particular, combined phone-duration measures uncovers stronger relationships between speech rate and depression severity than global measures previously reported for a speech-rate biomarker. Results of this study are supported by correlation of our measures with depression severity and classification of depression state with these vocal measures. Our approach provides a general framework for analyzing individual symptom categories through phonological units, and supports the premise that speaking rate can be an indicator of psychomotor retardation severity.en_US
dc.description.sponsorshipUnited States. Dept. of Defense (Air Force Contract FA8721-05-C-0002)en_US
dc.publisherSpringeren_US
dc.relation.isversionofhttp://dx.doi.org/10.1186/1687-6180-2011-42en_US
dc.rights.urihttp://creativecommons.org/licenses/by/2.0en_US
dc.titlePhonologically-based biomarkers for major depressive disorderen_US
dc.typeArticleen_US
dc.identifier.citationEURASIP Journal on Advances in Signal Processing. 2011 Aug 16;2011(1):42en_US
dc.contributor.departmentLincoln Laboratoryen_US
dc.contributor.mitauthorQuatieri, Thomas F.
dc.contributor.mitauthorTrevino, Andrea Carolina
dc.contributor.mitauthorMalyska, Nicolas
dc.relation.journalEURASIP Journal on Advances in Signal Processingen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2012-03-16T16:55:44Z
dc.language.rfc3066en
dc.rights.holderTrevino et al.; licensee BioMed Central Ltd.
dspace.orderedauthorsTrevino, Andrea; Quatieri, Thomas; Malyska, Nicolasen
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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