Skip to main navigation Skip to search Skip to main content

Emotion identification for evaluation of synthesized emotional speech

  • Stefan Steidl
  • , Tim Polzehl
  • , H. Timothy Bunnell
  • , Ying Dou
  • , Prasanna Kumar Muthukumar
  • , Daniel Perry
  • , Kishore Prahallad
  • , Callie Vaughn
  • , Alan W. Black
  • , Florian Metze
  • Friedrich-Alexander University Erlangen-Nürnberg
  • Deutsche Telekom
  • Johns Hopkins University
  • Language Technologies Institute, Carnegie Mellon University
  • University of California at Los Angeles
  • International Institute of Information Technology Hyderabad
  • Oberlin College

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

10 Scopus citations

Abstract

In this paper, we propose to evaluate the quality of emotional speech synthesis by means of an automatic emotion identification system. We test this approach using five different parametric speech synthesis systems, ranging from plain non-emotional synthesis to full re-synthesis of pre-recorded speech. We compare the results achieved with the automatic system to those of human perception tests. While preliminary, our results indicate that automatic emotion identification can be used to assess the quality of emotional speech synthesis, potentially replacing time consuming and expensive human perception tests.

Original languageEnglish
Title of host publicationProceedings of the 6th International Conference on Speech Prosody, SP 2012
PublisherTongji University Press
Pages661-664
Number of pages4
ISBN (Print)9787560848693
StatePublished - 2012
Event6th International Conference on Speech Prosody 2012, SP 2012 - Shanghai, China
Duration: 22 May 201225 May 2012

Publication series

NameProceedings of the 6th International Conference on Speech Prosody, SP 2012
Volume2

Conference

Conference6th International Conference on Speech Prosody 2012, SP 2012
Country/TerritoryChina
CityShanghai
Period22/05/1225/05/12

Keywords

  • Automatic quality assessment
  • Emotion
  • Human perception
  • Speech synthesis

Fingerprint

Dive into the research topics of 'Emotion identification for evaluation of synthesized emotional speech'. Together they form a unique fingerprint.

Cite this