Applications of computer generated expressive speech for communication disorders

Jan Van Santen, Lois Black, Gilead Cohen, Alexander Kain, Esther Klabbers, Taniya Mishra, Jacques De Villiers, Xiaochuan Niu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

This paper focuses on generation of expressive speech, specifically speech displaying vocal affect. Generating speech with vocal affect is important for diagnosis, research, and remediation for children with autism and developmental language disorders. However, because vocal affect involves many acoustic factors working together in complex ways, it is unlikely that we will be able to generate compelling vocal affect with traditional diphone synthesis. Instead, methods are needed that preserve as much of the original signals as possible. We describe an approach to concatenative synthesis that attempts to combine the naturalness of unit selection based synthesis with the ability of diphone based synthesis to handle unrestricted input domains.

Original languageEnglish (US)
Title of host publicationEUROSPEECH 2003 - 8th European Conference on Speech Communication and Technology
PublisherInternational Speech Communication Association
Pages1657-1660
Number of pages4
StatePublished - 2003
Event8th European Conference on Speech Communication and Technology, EUROSPEECH 2003 - Geneva, Switzerland
Duration: Sep 1 2003Sep 4 2003

Other

Other8th European Conference on Speech Communication and Technology, EUROSPEECH 2003
CountrySwitzerland
CityGeneva
Period9/1/039/4/03

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Linguistics and Language
  • Communication

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  • Cite this

    Van Santen, J., Black, L., Cohen, G., Kain, A., Klabbers, E., Mishra, T., De Villiers, J., & Niu, X. (2003). Applications of computer generated expressive speech for communication disorders. In EUROSPEECH 2003 - 8th European Conference on Speech Communication and Technology (pp. 1657-1660). International Speech Communication Association.