Psychoacoustic abilities as predictors of vocal emotion recognition

Eitan Globerson, Michal Lavidor, Ofer Golan, Liat Kishon-Rabin, Noam Amir

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The mechanisms underlying vocal emotion recognition (VER) have been the subject of extensive research in the last decades. Evidence supporting a linkage between the level of musical background and vocal emotion recognition abilities was indicated in several studies, while others pointed to a linkage between Theory of Mind/emotional intelligence and VER. In the current paper we highlight pitch discrimination abilities as successful predictors of VER. Our results may have a significant impact on the assessment and rehabilitation of individuals suffering from deficient VER.

Original languageEnglish
Title of host publication5th International Conference on Speech Prosody 2010
PublisherInternational Speech Communications Association
ISBN (Electronic)9780000000002
StatePublished - 2010
Event5th International Conference on Speech Prosody: Every Language, Every Style, SP 2010 - Chicago, United States
Duration: 10 May 201014 May 2010

Publication series

NameProceedings of the International Conference on Speech Prosody
ISSN (Print)2333-2042

Conference

Conference5th International Conference on Speech Prosody: Every Language, Every Style, SP 2010
Country/TerritoryUnited States
CityChicago
Period10/05/1014/05/10

Bibliographical note

Publisher Copyright:
© 2010 Proceedings of the International Conference on Speech Prosody.

Funding

This study was supported by the NARSAD independent investigator award and by grant no. 474/06 from the Israel Science Foundation awarded to M. Lavidor. We would also like to thank all participants in the tests for their time and effort.

FundersFunder number
National Alliance for Research on Schizophrenia and Depression474/06
Israel Science Foundation

    Keywords

    • Gliding tone threshold
    • Prosody
    • Psychoacoustic thresholds
    • Vocal emotion recognition

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