Literature DB >> 19182141

A laboratory-based procedure for measuring emotional expression from natural speech.

Alex S Cohen1, Kyle S Minor2, Gina M Najolia2, S Lee Hong2.   

Abstract

Despite dramatic advances in the sophistication of tools for measuring prosodic and content channels of expression from natural speech, methodological issues have limited the simultaneous measurement of those channels for laboratory research. This is particularly unfortunate, considering the importance of emotional expression in daily living and how it can be disrupted in many psychological disorders (e.g., schizophrenia). The present study examined the Computerized assessment of Affect from Natural Speech (CANS), a laboratory-based procedure that was designed to measure both lexical and prosodic expression from natural speech across a range of evocative conditions. The verbal responses of 38 male and 31 female subjects were digitally recorded as they reacted to separate pleasant, unpleasant, and neutral stimuli. Lexical and prosodic expression variables significantly changed across these conditions, providing support for using the CANS in further laboratory research. The implications for understanding the interface between lexical and prosodic expressions are also discussed.

Entities:  

Mesh:

Year:  2009        PMID: 19182141     DOI: 10.3758/BRM.41.1.204

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  11 in total

Review 1.  What do we really know about blunted vocal affect and alogia? A meta-analysis of objective assessments.

Authors:  Alex S Cohen; Kyle R Mitchell; Brita Elvevåg
Journal:  Schizophr Res       Date:  2014-09-26       Impact factor: 4.939

2.  Psychiatric symptom versus neurocognitive correlates of diminished expressivity in schizophrenia and mood disorders.

Authors:  Alex S Cohen; Yunjung Kim; Gina M Najolia
Journal:  Schizophr Res       Date:  2013-03-06       Impact factor: 4.939

3.  Digital phenotyping of negative symptoms: the relationship to clinician ratings.

Authors:  Alex S Cohen; Elana Schwartz; Thanh P Le; Tovah Cowan; Brian Kirkpatrick; Ian M Raugh; Gregory P Strauss
Journal:  Schizophr Bull       Date:  2021-01-23       Impact factor: 9.306

4.  A psychometric investigation of "macroscopic" speech measures for clinical and psychological science.

Authors:  Alex S Cohen; Tyler L Renshaw; Kyle R Mitchell; Yunjung Kim
Journal:  Behav Res Methods       Date:  2016-06

5.  Vocal expression in schizophrenia: Less than meets the ear.

Authors:  Alex S Cohen; Kyle R Mitchell; Nancy M Docherty; William P Horan
Journal:  J Abnorm Psychol       Date:  2016-02

6.  Negative Affect-Associated USV Acoustic Characteristics Predict Future Excessive Alcohol Drinking and Alcohol Avoidance in Male P and NP Rats.

Authors:  James M Reno; Neha Thakore; Lawrence K Cormack; Timothy Schallert; Richard L Bell; W Todd Maddox; Christine L Duvauchelle
Journal:  Alcohol Clin Exp Res       Date:  2017-02-23       Impact factor: 3.455

7.  Speech deficits in serious mental illness: a cognitive resource issue?

Authors:  Alex S Cohen; Jessica E McGovern; Thomas J Dinzeo; Michael A Covington
Journal:  Schizophr Res       Date:  2014-11-17       Impact factor: 4.939

8.  Vocal acoustic analysis as a biometric indicator of information processing: implications for neurological and psychiatric disorders.

Authors:  Alex S Cohen; Thomas J Dinzeo; Neila J Donovan; Caitlin E Brown; Sean C Morrison
Journal:  Psychiatry Res       Date:  2015-01-14       Impact factor: 3.222

9.  Lexical analysis of emotional responses to "real-world" experiences in individuals with schizophrenia.

Authors:  J Vakhrusheva; S Khan; R Chang; M Hansen; L Ayanruoh; J J Gross; D Kimhy
Journal:  Schizophr Res       Date:  2019-12-13       Impact factor: 4.939

10.  Validating Biobehavioral Technologies for Use in Clinical Psychiatry.

Authors:  Alex S Cohen; Christopher R Cox; Raymond P Tucker; Kyle R Mitchell; Elana K Schwartz; Thanh P Le; Peter W Foltz; Terje B Holmlund; Brita Elvevåg
Journal:  Front Psychiatry       Date:  2021-06-11       Impact factor: 4.157

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