NDLI: Study on Prediction of Prosodic Phrase Boundaries in Chinese TTS

Content Provider	IEEE Xplore Digital Library
Author	Ziping Zhao Yaoting Zhu
Copyright Year	2007
Description	Author affiliation: Nankai Univ., Tianjin (Ziping Zhao; Yaoting Zhu)
Abstract	Hierarchical prosody structure generation is a key component for a speech synthesis system. One major feature of the prosody of Mandarin Chinese speech flow is prosodic phrase grouping. In this paper three methods are proposed to predict prosodic phrase. The first is a statistic probability model, which efficiently combines the local POS and word length information. Experiments show by choosing appropriate threshold the model can reach a high precision and high recall ratio. Secondly we use the decision tree learning algorithm combined with the pause rules of Chinese empty words to predict prosodic phrase boundary in unrestricted Chinese text. The experiments show that the approach improves overall performance. Another is an SVM-based method. The precision and recall ratio are improved after using SVM classifier.
Starting Page	354
Ending Page	358
File Size	339353
Page Count	5
File Format	PDF
ISBN	9780769529097
DOI	10.1109/SNPD.2007.67
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Intelligent networks Support vector machine classification Hidden Markov models Probability Educational institutions Speech synthesis Artificial intelligence Distributed computing Software engineering
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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