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Predicting Prosody from Text for Text-to-Speech Synthesis

by Rao, K. Sreenivasa.
Authors: SpringerLink (Online service) Series: SpringerBriefs in Electrical and Computer Engineering, 2191-8112 Physical details: XII, 130p. 42 illus. online resource. ISBN: 1461413389 Subject(s): Engineering. | Translators (Computer programs). | Computational linguistics. | Engineering. | Signal, Image and Speech Processing. | Computational Linguistics. | Language Translation and Linguistics.
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E-Book E-Book AUM Main Library 621.382 (Browse Shelf) Not for loan

1. Introduction -- 2. Prosody Knowledge for Speech Systems: A Review -- 3. Analysis of Durationsn of Sound Units -- 4. Modeling Duration -- 5. Modeling Intonation -- 6. Prosody Modification -- 7. Practical Aspects of Prosody Modification -- 8. Summary and Conclusions -- Appendix A. Coding Scheme Used to Represent Linguistic and Production Constraints.

Predicting Prosody from Text for Text-to-Speech Synthesis covers the specific aspects of prosody, mainly focusing on how to predict the prosodic information from linguistic text, and then how to exploit the predicted prosodic knowledge for various speech applications. Author K. Sreenivasa Rao discusses proposed methods along with state-of-the-art techniques for the acquisition and incorporation of prosodic knowledge for developing speech systems. Positional, contextual and phonological features are proposed for representing the linguistic and production constraints of the sound units present in the text. This book is intended for graduate students and researchers working in the area of speech processing.

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