Predicting prosody from text for text-to-speech synthesis
Author(s)
Bibliographic Information
Predicting prosody from text for text-to-speech synthesis
（Springerbriefs in electrical and computer engineering, . Speech technology）
Springer, c2012
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Note
Includes bibliographical references (p. 123-130)
Description and Table of Contents
Description
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.
Table of Contents
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.
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