Assessing Chronic Stress, Coping Skills, and Mood Disorders through Speech Analysis: A Self-Assessment ‘Voice App' for Laptops, Tablets, and Smartphones | Zendy

Silke Braun | Zendy; C Annovazzi | Zendy; Cristina Botella | Zendy; René Bridler | Zendy; E Camussi | Zendy; Juan P. Delfino | Zendy; Christine Möhr | Zendy; Inés Moragrega | Zendy; Costanza Papagno | Zendy; Alberto Pisoni | Zendy; Carla Soler | Zendy; Erich Seifritz | Zendy; Hans H. Stassen | Zendy

Open Access

Assessing Chronic Stress, Coping Skills, and Mood Disorders through Speech Analysis: A Self-Assessment ‘Voice App' for Laptops, Tablets, and Smartphones

Author(s) -

Silke Braun,

C Annovazzi,

Cristina Botella,

René Bridler,

E Camussi,

Juan P. Delfino,

Christine Möhr,

Inés Moragrega,

Costanza Papagno,

Alberto Pisoni,

Carla Soler,

Erich Seifritz,

Hans H. Stassen

Publication year - 2016

Publication title -

psychopathology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.867

H-Index - 63

eISSN - 1423-033X

pISSN - 0254-4962

DOI - 10.1159/000450959

Subject(s) - psychology , normative , mood , context (archaeology) , population , german , coping (psychology) , repeated measures design , developmental psychology , audiology , clinical psychology , medicine , linguistics , paleontology , philosophy , statistics , mathematics , environmental health , epistemology , biology

Computerized speech analysis (CSA) is a powerful method that allows one to assess stress-induced mood disturbances and affective disorders through repeated measurements of speaking behavior and voice sound characteristics. Over the past decades CSA has been successfully used in the clinical context to monitor the transition from 'affectively disturbed' to 'normal' among psychiatric patients under treatment. This project, by contrast, aimed to extend the CSA method in such a way that the transition from 'normal' to 'affected' can be detected among subjects of the general population through 10-20 self-assessments.

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