Literature DB >> 25786961

The contribution of phonation type to the perception of vocal emotions in German: an articulatory synthesis study.

Peter Birkholz1, Lucia Martin1, Klaus Willmes2, Bernd J Kröger1, Christiane Neuschaefer-Rube1.   

Abstract

Vocal emotions are signaled by specific patterns of prosodic parameters, most notably pitch, phone duration, intensity, and phonation type. Phonation type was so far the least accessible parameter in emotion research, because it was difficult to extract from speech signals and difficult to manipulate in natural or synthetic speech. The present study built on recent advances in articulatory speech synthesis to exclusively control phonation type in re-synthesized German sentences spoken with seven different emotions. The goal was to find out to what extent the sole change of phonation type affects the perception of these emotions. Therefore, portrayed emotional utterances were re-synthesized with their original phonation type, as well as with each purely breathy, modal, and pressed phonation, and then rated by listeners with respect to the perceived emotions. Highly significant effects of phonation type on the recognition rates of the original emotions were found, except for disgust. While fear, anger, and the neutral emotion require specific phonation types for correct perception, sadness, happiness, boredom, and disgust primarily rely on other prosodic parameters. These results can help to improve the expression of emotions in synthesized speech and facilitate the robust automatic recognition of vocal emotions.

Mesh:

Year:  2015        PMID: 25786961     DOI: 10.1121/1.4906836

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  3 in total

Review 1.  Emotion Perception from Face, Voice, and Touch: Comparisons and Convergence.

Authors:  Annett Schirmer; Ralph Adolphs
Journal:  Trends Cogn Sci       Date:  2017-02-04       Impact factor: 20.229

2.  TOWARD REAL-TIME PHYSICALLY-BASED VOICE SIMULATION: AN EIGENMODE-BASED APPROACH.

Authors:  Zhaoyan Zhang
Journal:  Proc Meet Acoust       Date:  2017-09-20

3.  Recalibration of vocal affect by a dynamic face.

Authors:  Martijn Baart; Jean Vroomen
Journal:  Exp Brain Res       Date:  2018-04-25       Impact factor: 1.972

  3 in total

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