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Sreenivasa K. Rao - Predicting Prosody from Text for Text-to-Speech Synthesis - 9781461413370 - V9781461413370
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Predicting Prosody from Text for Text-to-Speech Synthesis

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Description for Predicting Prosody from Text for Text-to-Speech Synthesis paperback. Covers the specific aspects of prosody, focusing on how to predict the prosodic information from linguistic text, and how to exploit the predicted prosodic knowledge for various speech applications. This book discusses proposed methods along with techniques for the acquisition and incorporation of prosodic knowledge for developing speech systems. Series: Springerbriefs in Electrical and Computer Engineering / Springerbriefs in Speech Technology. Num Pages: 130 pages, 42 black & white illustrations, 59 black & white tables, biography. BIC Classification: CFX; TTBM; UYQL. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 7. Weight in Grams: 229.

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

Format
Paperback
Publication date
2012
Publisher
Springer United States
Number of pages
130
Condition
New
Series
Springerbriefs in Electrical and Computer Engineering / Springerbriefs in Speech Technology
Number of Pages
130
Place of Publication
New York, NY, United States
ISBN
9781461413370
SKU
V9781461413370
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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