Predicting Prosody from Text | Zendy

Keh-Jiann Chen | Zendy; Chiu-yu Tseng | Zendy; Chia-Hung Tai | Zendy

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Predicting Prosody from Text

Author(s) -

Keh-Jiann Chen,

Chiu-yu Tseng,

Chia-Hung Tai

Publication year - 2006

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-49665-3

DOI - 10.1007/11939993_22

Subject(s) - prosody , computer science , natural language processing , predicate (mathematical logic) , artificial intelligence , parsing , boundary (topology) , speech recognition , programming language , mathematics , mathematical analysis

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.

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