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.
| ISBN: | 9781461413370 |
| Publication date: | 27th April 2012 |
| Author: | K Sreenivasa Rao |
| Publisher: | Springer an imprint of Springer New York |
| Format: | Paperback |
| Pagination: | 130 pages |
| Series: | SpringerBriefs in Electrical and Computer Engineering |
| Genres: |
Electronics engineering Natural language and machine translation Digital signal processing (DSP) Computational and corpus linguistics |
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.
Predicting Prosody from Text for Voice Conversion and Text-to-Speech Synthesis features in the following genres: Electronics engineering, Natural language and machine translation, Digital signal processing (DSP), Computational and corpus linguistics
Paperback. Not Available.
Predicting Prosody from Text for Voice Conversion and Text-to-Speech Synthesis was written by K Sreenivasa Rao and published by Springer an imprint of Springer New York
Predicting Prosody from Text for Voice Conversion and Text-to-Speech Synthesis has 130 pages
Yes it is part of SpringerBriefs in Electrical and Computer Engineering series