Multi-domain text-to-speech synthesis by automatic text classification

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Abstract

This paper describes a multi-domain text-to-speech (MD-TTS) synthesis strategy for generating speech among different domains and so increasing the flexibility of high quality TTS systems. To that effect, the MD-TTS introduces a flexible TTS architecture that includes an automatic domain classification module, which allows MD-TTS systems to be implemented by different synthesis strategies and speech corpus typologies. In this work, the performance of a corpus-based MD-TTS system is subjectively validated by means of several perceptual tests.

Original languageEnglish
Title of host publicationINTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP
PublisherInternational Speech Communication Association
Pages1304-1307
Number of pages4
ISBN (Print)9781604234497
Publication statusPublished - 2006
EventINTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP - Pittsburgh, PA, United States
Duration: 17 Sept 200621 Sept 2006

Publication series

NameINTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP
Volume3

Conference

ConferenceINTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP
Country/TerritoryUnited States
CityPittsburgh, PA
Period17/09/0621/09/06

Keywords

  • Automatic text classification
  • Domain classification
  • General purpose
  • Limited domain
  • Multi-domain TTS
  • Speech corpus
  • Text-to-speech synthesis

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