Predicting Prosody from Text for Text-to-Speech Synthesis / Edition 1

by K. Sreenivasa Rao

Overview

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.

Product Details

ISBN-13:	9781461413370
Publisher:	Springer New York
Publication date:	04/27/2012
Series:	SpringerBriefs in Speech Technology
Edition description:	2012
Pages:	130
Product dimensions:	6.10(w) x 9.25(h) x 0.01(d)

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.