Predicting prosody from text

  • Authors:

  • Keh-Jiann Chen;Chiu-yu Tseng;Chia-hung Tai

  • Affiliations:

  • Institute of Information Science, Academia Sinica, Taipei;Phonetics Lab, Institute of Linguistics, Academia Sinica, Taipei;Institute of Information Science, Academia Sinica, Taipei

  • Venue:
  • ISCSLP'06 Proceedings of the 5th international conference on Chinese Spoken Language Processing
  • Year:
  • 2006

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Abstract

In order to improve unlimited TTS, a framework to organize the multiple perceived units into discourse is proposed in [1]. To make an unlimited TTS system, we must transform the original text to the text with corresponding boundary breaks. So we describe how we predicate prosody from Text in this paper. We use the corpora with boundary breaks which follow the prosody framework. Then we use the lexical and syntactic information to predict prosody from text. The result shows that the weighted precision in our model is better than some speakers. We have shown our model can predict a reasonable prosody form text.