Literature DB >> 15380873

Voice acoustical measurement of the severity of major depression.

Michael Cannizzaro1, Brian Harel, Nicole Reilly, Phillip Chappell, Peter J Snyder.   

Abstract

A number of empirical studies have documented the relationship between quantifiable and objective acoustical measures of voice and speech, and clinical subjective ratings of severity of Major Depression. To further explore this relationship, speech samples were extracted from videotape recordings of structured interviews made during the administration of the 17-item Hamilton Depression Rating Scale (HDRS; ). Pilot data were obtained from seven subjects (five males, two females) from videotapes that have been used to train expert raters on the administration and scoring of the HDRS. Several speech samples were isolated for each subject and processed to obtain the acoustic measurements. Acoustic measures were selected on the basis that they were correlated with HDRS ratings of symptom severity as seen under ideal voice recording conditions in previous studies. Our findings corroborate earlier reports that speaking rate is well correlated (negatively) with HDRS scores, with a strong correlation and nearly significant trend seen for the measure of pitch variability. A moderate pairwise correlation between percent pause time and HDRS score was also revealed, although this relationship was not statistically significant. The results from this cross-sectional study further demonstrate the ability of voice and speech signal analyses to objectively track severity of depression. In the present case, it is suggested that this relationship is robust enough to be found despite the less than ideal recording conditions and equipment used during the original videotape recording. Voice acoustical analyses may provide a powerful compliment to the standard clinical interview for depression. Use of such measures increases the range of techniques that are available to explore the neurobiological substrates of Major Depression, its treatment, and the dynamic interplay of the systems that govern the motor, cognitive, and emotional aspects of speech production.

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Year:  2004        PMID: 15380873     DOI: 10.1016/j.bandc.2004.05.003

Source DB:  PubMed          Journal:  Brain Cogn        ISSN: 0278-2626            Impact factor:   2.310


  28 in total

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5.  A psychometric investigation of "macroscopic" speech measures for clinical and psychological science.

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6.  Vocal expression in schizophrenia: Less than meets the ear.

Authors:  Alex S Cohen; Kyle R Mitchell; Nancy M Docherty; William P Horan
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7.  Voice acoustic measures of depression severity and treatment response collected via interactive voice response (IVR) technology.

Authors:  James C Mundt; Peter J Snyder; Michael S Cannizzaro; Kara Chappie; Dayna S Geralts
Journal:  J Neurolinguistics       Date:  2007-01       Impact factor: 1.710

8.  The Effect of Talker and Listener Depressive Symptoms on Speech Intelligibility.

Authors:  Hoyoung Yi; Rajka Smiljanic; Bharath Chandrasekaran
Journal:  J Speech Lang Hear Res       Date:  2019-11-18       Impact factor: 2.297

9.  Vocal acoustic biomarkers of depression severity and treatment response.

Authors:  James C Mundt; Adam P Vogel; Douglas E Feltner; William R Lenderking
Journal:  Biol Psychiatry       Date:  2012-04-26       Impact factor: 13.382

10.  Standardization of pitch-range settings in voice acoustic analysis.

Authors:  Adam P Vogel; Paul Maruff; Peter J Snyder; James C Mundt
Journal:  Behav Res Methods       Date:  2009-05
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