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The effects of emotionally worded synthesized speech on the ratings of emotions and voice quality

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

6 Citations (Scopus)

Abstract

The present research investigated how the verbal content of synthetic messages affects participants' emotional responses and the ratings of voice quality. 28 participants listened to emotionally worded sentences produced by a monotonous and a prosodic tone of voice while the activity of corrugator supercilii facial muscle was measured. Ratings of emotions and voice quality were also collected. The results showed that the ratings of emotions were significantly affected by the emotional contents of the sentences. The prosodic tone of voice evoked more emotion-relevant ratings of arousal than the monotonous voice. Corrugator responses did not seem to reflect emotional reactions. Interestingly, the quality of the same voice was rated higher when the content of the sentences was positive as compared to the neutral and negative sentences. Thus, the emotional content of the spoken messages can be used to regulate users' emotions and to evoke positive feelings about the voices.

Original languageEnglish
Title of host publicationAffective Computing and Intelligent Interaction - 4th International Conference, ACII 2011, Proceedings
Place of PublicationBerlin
PublisherSpringer
Pages588-598
Number of pages11
Volume6974 LNCS
EditionPART 1
ISBN (Print)978-3-642-24599-2
DOIs
Publication statusPublished - 2011
Publication typeA4 Article in conference proceedings
Event4th International Conference on Affective Computing and Intelligent Interaction, ACII 2011 - Memphis, TN, United States
Duration: 9 Oct 201112 Oct 2011

Publication series

NameLecture Notes in Computer Science
Number6974
ISSN (Print)0302-9743

Conference

Conference4th International Conference on Affective Computing and Intelligent Interaction, ACII 2011
Country/TerritoryUnited States
CityMemphis, TN
Period9/10/1112/10/11

Keywords

  • Emotions
  • facial expression
  • speech synthesis
  • voice quality

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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