Literature DB >> 11532533

Reflections of depression in acoustic measures of the patient's speech.

M Alpert1, E R Pouget, R R Silva.   

Abstract

BACKGROUND: The literature on acoustic measures of voice in depression is reviewed. Authors have separated results derived from studies of automatic speech, such as counting or reading, from free speech. Free speech requires cognitive activity such as word finding and discourse planning in addition to the motor activity of automatic speech. Also, results have been less ambiguous if homogeneous groups of agitated or retarded depressed patients were examined.
METHODS: These distinctions are applied to the results of a 12-week double-blind treatment trial that compared response to nortriptyline (25-100 mg/day) with sertraline (50-150 mg/day). Twelve male and ten female elderly depressed patients and an age-matched normal control group (n=19) were studied. Patients were divided into retarded or agitated groups on the basis of ratings. Results from measures of fluency (speech productivity and pausing) and prosody (emphasis and inflection) are described.
RESULTS: Depressed patients showed less prosody than the normal subjects. Improvement in the retarded group was reflected in briefer pauses but not longer utterances. There was a trend in the agitated group for improvement to be reflected in the utterance but not the pause measure.
CONCLUSIONS: Clinical impressions are substantially related to acoustic parameters. Temporal changes associated with depression appear to reflect the depressed state whereas prosodic features seem to reflect a depressed trait. Acoustic measures of the patient's speech may provide objective procedures to aid in the evaluation of depression. Limitations of the study are discussed.

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Year:  2001        PMID: 11532533     DOI: 10.1016/s0165-0327(00)00335-9

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  22 in total

1.  Detection of clinical depression in adolescents' speech during family interactions.

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2.  Modification of spectral features by nonhuman primates.

Authors:  Daniel J Weiss; Cara F Hotchkin; Susan E Parks
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3.  Dyadic Behavior Analysis in Depression Severity Assessment Interviews.

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Journal:  Proc ACM Int Conf Multimodal Interact       Date:  2014-11

4.  Dynamic Multimodal Measurement of Depression Severity Using Deep Autoencoding.

Authors:  Hamdi Dibeklioglu; Zakia Hammal; Jeffrey F Cohn
Journal:  IEEE J Biomed Health Inform       Date:  2017-03-02       Impact factor: 5.772

5.  Remote capture of human voice acoustical data by telephone: a methods study.

Authors:  Michael S Cannizzaro; Nicole Reilly; James C Mundt; Peter J Snyder
Journal:  Clin Linguist Phon       Date:  2005-12       Impact factor: 1.346

6.  Detecting Depression Severity from Vocal Prosody.

Authors:  Ying Yang; Catherine Fairbairn; Jeffrey F Cohn
Journal:  IEEE Trans Affect Comput       Date:  2013-07-11       Impact factor: 10.506

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.  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

9.  Depressed mood and speech in Chilean mothers of 5½-year-old children.

Authors:  Katy M Clark; Jing Su; Niko Kaciroti; Marcela Castillo; Rebeca Millan; Heather Rule; Besty Lozoff
Journal:  Interam J Psychol       Date:  2010

Review 10.  Transcranial magnetic stimulation (TMS) of the human frontal cortex: implications for repetitive TMS treatment of depression.

Authors:  Tomás Paus; Jennifer Barrett
Journal:  J Psychiatry Neurosci       Date:  2004-07       Impact factor: 6.186

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