Literature DB >> 8295161

Speaking behavior and voice sound characteristics in depressive patients during recovery.

S Kuny1, H H Stassen.   

Abstract

Based on a sample of 30 depressive patients, we have investigated the time course of recovery from depression in so far as this time course was assessable through changes in psychopathology syndrome scores and through changes in speaking behavior and voice sound characteristics. Specifically, our study design provided 6 repeated assessments over 2 weeks and at a fixed time in the morning each Monday, Wednesday and Friday, plus a final assessment at the patients' releases from hospital. Thus, we were able to determine the degree to which single-parameter approaches to speaking behavior and voice sound characteristics reflect the individual time course of recovery from depression. In this context, we could rely upon a calibration sample with repeated assessments on 192 healthy volunteers which yielded all necessary information concerning reproducibility and sensitivity of speech parameters. Our analysis revealed several prominent features of speaking behavior and voice sound characteristics to be closely related to the time course of recovery from depression. In particular, the parameters "F0-amplitude", "F0-6db-bandwidth" and "F0-contour" which assess important characteristics of a speaker's voice timbre, as well as the parameters "energy" and "dynamics" which assess a speaker's mean loudness and the variation of loudness over time, displayed consistently high correlations with depression syndromes. Moreover, the results of single-case analysis turned out to be in remarkable accordance with those of the cross-sectional one: in almost two-thirds of patients there existed a significant relationship over time between the global depression scores and major speech parameters. As to the remaining one-third of patients who did not fit the picture of high correlations between psychopathology and speech parameters, we found an overproportionally large number of non-improvers characterized by irregular patterns of slight improvement with subsequent deterioration, or of deterioration followed by slight improvement. In other words, one-third of patients displayed time courses of depression whose psychopathology is difficult to assess through standard exploration techniques. Accordingly, it is not clear whether the observed lack of correlation in these patients is due to insufficient data or to an actual discordance between the time development of psychopathology and that of speech parameters.

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Year:  1993        PMID: 8295161     DOI: 10.1016/0022-3956(93)90040-9

Source DB:  PubMed          Journal:  J Psychiatr Res        ISSN: 0022-3956            Impact factor:   4.791


  9 in total

1.  Emotion in speech: the acoustic attributes of fear, anger, sadness, and joy.

Authors:  C Sobin; M Alpert
Journal:  J Psycholinguist Res       Date:  1999-07

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

Authors:  Lu-Shih Alex Low; Namunu C Maddage; Margaret Lech; Lisa B Sheeber; Nicholas B Allen
Journal:  IEEE Trans Biomed Eng       Date:  2010-11-11       Impact factor: 4.538

3.  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

4.  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

5.  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

Review 6.  Psychomotor retardation in depression: a systematic review of diagnostic, pathophysiologic, and therapeutic implications.

Authors:  Djamila Bennabi; Pierre Vandel; Charalambos Papaxanthis; Thierry Pozzo; Emmanuel Haffen
Journal:  Biomed Res Int       Date:  2013-10-30       Impact factor: 3.411

7.  Acoustic differences between healthy and depressed people: a cross-situation study.

Authors:  Jingying Wang; Lei Zhang; Tianli Liu; Wei Pan; Bin Hu; Tingshao Zhu
Journal:  BMC Psychiatry       Date:  2019-10-15       Impact factor: 3.630

8.  Automatic Assessment of Loneliness in Older Adults Using Speech Analysis on Responses to Daily Life Questions.

Authors:  Yasunori Yamada; Kaoru Shinkawa; Miyuki Nemoto; Tetsuaki Arai
Journal:  Front Psychiatry       Date:  2021-12-13       Impact factor: 4.157

9.  Recognizing hotspots in Brief Eclectic Psychotherapy for PTSD by text and audio mining.

Authors:  Sytske Wiegersma; Mirjam J Nijdam; Arjan J van Hessen; Khiet P Truong; Bernard P Veldkamp; Miranda Olff
Journal:  Eur J Psychotraumatol       Date:  2020-03-17
  9 in total

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