Predicting prosody from text for text-to-speech synthesis
(eBook)
Author:
Published:
New York, NY : Springer, ©2012., New York, NY : Springer, [2012].
Format:
eBook
ISBN:
9781461413387, 1461413389, 1461413370, 9781461413370, 9781280794742, 1280794747
Content Description:
1 online resource (xii, 130 pages).
Status:
Available Online
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.
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APA Citation (style guide)
Sreenivasa Rao, K. (2012). Predicting prosody from text for text-to-speech synthesis. New York, NY, Springer.
Chicago / Turabian - Author Date Citation (style guide)Sreenivasa Rao, K. 2012. Predicting Prosody From Text for Text-to-speech Synthesis. New York, NY, Springer.
Chicago / Turabian - Humanities Citation (style guide)Sreenivasa Rao, K, Predicting Prosody From Text for Text-to-speech Synthesis. New York, NY, Springer, 2012.
MLA Citation (style guide)Sreenivasa Rao, K. Predicting Prosody From Text for Text-to-speech Synthesis. New York, NY, Springer, 2012.
Note! Citation formats are based on standards as of July 2022. Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy.
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Language:
English
Notes
Bibliography
Includes bibliographical references.
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.
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