Literature DB >> 6725627

Speech and voice parameters of depression: a pilot study.

J K Darby, N Simmons, P A Berger.   

Abstract

This pilot study tests one model for interdisciplinary research between speech science and psychiatry. Strengths and weaknesses of the model are noted. Thirteen depressed subjects were evaluated before and after treatment with antidepressant medication. Subjects were rated on scales for severity of depression and speech deviations. Scores on a depressed voice scale, comprising seven of the speech dimensions found to be most consistently altered in depression, showed significant improvement after treatment for depression. The constellation of speech signs found in depression suggested a hypokinetic disturbance of the extrapyramidal system. Several directions for further inquiry into this potential relationship are suggested.

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Year:  1984        PMID: 6725627     DOI: 10.1016/0021-9924(84)90013-3

Source DB:  PubMed          Journal:  J Commun Disord        ISSN: 0021-9924            Impact factor:   2.288


  8 in total

1.  Acoustic analysis in the differentiation of Parkinson's disease and major depression.

Authors:  A J Flint; S E Black; I Campbell-Taylor; G F Gailey; C Levinton
Journal:  J Psycholinguist Res       Date:  1992-09

2.  Dyadic Behavior Analysis in Depression Severity Assessment Interviews.

Authors:  Stefan Scherer; Zakia Hammal; Ying Yang; Louis-Philippe Morency; Jeffrey F Cohn
Journal:  Proc ACM Int Conf Multimodal Interact       Date:  2014-11

3.  Dysprosody after severe closed head injury: an acoustic analysis.

Authors:  C Samuel; A Louis-Dreyfus; J Couillet; B Roubeau; S Bakchine; B Bussel; P Azouvi
Journal:  J Neurol Neurosurg Psychiatry       Date:  1998-04       Impact factor: 10.154

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.  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

6.  Speech-based markers for posttraumatic stress disorder in US veterans.

Authors:  Charles R Marmar; Adam D Brown; Meng Qian; Eugene Laska; Carole Siegel; Meng Li; Duna Abu-Amara; Andreas Tsiartas; Colleen Richey; Jennifer Smith; Bruce Knoth; Dimitra Vergyri
Journal:  Depress Anxiety       Date:  2019-04-22       Impact factor: 6.505

7.  Nonverbal Social Skills of Adults with Mild Intellectual Disability Diagnosed with Depression.

Authors:  Sigan L Hartley; Denis Birgenheir
Journal:  J Ment Health Res Intellect Disabil       Date:  2009-01-01

8.  Automatic Detection of Depression in Speech Using Ensemble Convolutional Neural Networks.

Authors:  Adrián Vázquez-Romero; Ascensión Gallardo-Antolín
Journal:  Entropy (Basel)       Date:  2020-06-20       Impact factor: 2.524

  8 in total

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