Predicting Prosody from Text for Text-to-Speech Synthesis

Nonfiction, Science & Nature, Technology, Electronics, Reference & Language, Language Arts, Linguistics
Cover of the book Predicting Prosody from Text for Text-to-Speech Synthesis by K. Sreenivasa Rao, Springer New York
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Author: K. Sreenivasa Rao ISBN: 9781461413387
Publisher: Springer New York Publication: April 27, 2012
Imprint: Springer Language: English
Author: K. Sreenivasa Rao
ISBN: 9781461413387
Publisher: Springer New York
Publication: April 27, 2012
Imprint: Springer
Language: English

*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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

*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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