Applying prosodic speech features in mental health care: An exploratory study in a life-review intervention for depression

The present study aims to investigate the application of prosodic speech features in a psychological intervention based on lifereview. Several studies have shown that speech features can be used as indicators of depression severity, but these studies are mainly based on controlled speech recording tasks instead of natural conversations. The present exploratory study investigated speech features as indicators of depression in conversations of a therapeutic intervention. The changes in the prosodic speech features pitch, duration of pauses, and total duration of the participant’s speaking time were studied over four sessions of a life-review intervention for three older participants. The ecological validity of the dynamics observed for prosodic speech features could not be established in the present study. The changes in speech features differed from what can be expected in an intervention that is effective in decreasing depression and were inconsistent with each other for each of the participants. We suggest future research to investigate changes within the intervention sessions, to relate the changes in feature values to the topical content of the speech, and to relate the speech features directly to depression scores.

[1]  Alvaro Guevara,et al.  Understanding emotional expression using prosodic analysis of natural speech: refining the methodology. , 2010, Journal of behavior therapy and experimental psychiatry.

[2]  Janet B W Williams,et al.  Diagnostic and Statistical Manual of Mental Disorders , 2013 .

[3]  R Jouvent,et al.  Speech pause time and the retardation rating scale for depression (ERD). Towards a reciprocal validation. , 1984, Journal of affective disorders.

[4]  M. Alpert,et al.  Reflections of depression in acoustic measures of the patient's speech. , 2001, Journal of affective disorders.

[5]  F. Scogin,et al.  Evidence-Based Psychotherapies for Depression in Older Adults , 2006 .

[6]  Franciska de Jong,et al.  Towards modeling expressed emotions in oral history interviews: Using verbal and nonverbal signals to track personal narratives , 2014, Lit. Linguistic Comput..

[7]  T. B. Üstün,et al.  Global burden of depressive disorders in the year 2000 , 2004, British Journal of Psychiatry.

[8]  Wijnand A. IJsselsteijn,et al.  Machines Outperform Laypersons in Recognizing Emotions Elicited by Autobiographical Recollection , 2013, Hum. Comput. Interact..

[9]  Constantine Kotropoulos,et al.  Emotional speech recognition: Resources, features, and methods , 2006, Speech Commun..

[10]  H H Stassen,et al.  Speaking behavior and voice sound characteristics in depressive patients during recovery. , 1993, Journal of psychiatric research.

[11]  L. Radloff The CES-D Scale , 1977 .

[12]  M. Pinquart,et al.  Effects of reminiscence interventions on psychosocial outcomes: A meta-analysis , 2012, Aging & mental health.

[13]  L. Levine,et al.  Reminiscence as autobiographical memory: a catalyst for reminiscence theory development , 1998, Ageing and Society.

[14]  Shashidhar G. Koolagudi,et al.  Emotion recognition from speech: a review , 2012, International Journal of Speech Technology.

[15]  Filip Smit,et al.  Psychological treatment of late‐life depression: a meta‐analysis of randomized controlled trials , 2006, International journal of geriatric psychiatry.

[16]  Filip Smit,et al.  Preventing the onset of depressive disorders: a meta-analytic review of psychological interventions. , 2008, The American journal of psychiatry.

[17]  J Korte,et al.  Life review therapy for older adults with moderate depressive symptomatology: a pragmatic randomized controlled trial , 2011, Psychological Medicine.

[18]  E. Walker,et al.  Diagnostic and Statistical Manual of Mental Disorders , 2013 .

[19]  Blockin,et al.  Vocal Expression of Emotion , 2004 .

[20]  H. Sackeim,et al.  Psychomotor symptoms of depression. , 1997, The American journal of psychiatry.

[21]  D Hell,et al.  The speech analysis approach to determining onset of improvement under antidepressants , 1998, European Neuropsychopharmacology.

[22]  M. Hamilton A RATING SCALE FOR DEPRESSION , 1960, Journal of neurology, neurosurgery, and psychiatry.

[23]  Jen-Tzung Chien,et al.  Joint acoustic and language modeling for speech recognition , 2010, Speech Commun..

[24]  P. Moses The Voice of Neurosis , 1954 .

[25]  U. Bronfenbrenner Toward an Experimental Ecology of Human Development. , 1977 .

[26]  T. Dalgleish,et al.  Autobiographical Memory Specificity and Emotional Disorder , 2007, Psychological bulletin.

[27]  Paul Boersma,et al.  Praat, a system for doing phonetics by computer , 2002 .

[28]  Murray Alpert,et al.  Emotion in Speech: The Acoustic Attributes of Fear, Anger, Sadness, and Joy , 1999, Journal of psycholinguistic research.

[29]  R. Elliott Psychotherapy change process research: Realizing the promise , 2010, Psychotherapy research : journal of the Society for Psychotherapy Research.

[30]  J. Mundt,et al.  Vocal Acoustic Biomarkers of Depression Severity and Treatment Response , 2012, Biological Psychiatry.

[31]  Juan Pedro Serrano,et al.  Life review therapy using autobiographical retrieval practice for older adults with depressive symptomatology. , 2004, Psychology and aging.

[32]  Michael Cannizzaro,et al.  Voice acoustical measurement of the severity of major depression , 2004, Brain and Cognition.