Predicting prosody from text for text-to-speech synthesis
(eBook)
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.
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.
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Last Sierra Extract Time | Mar 20, 2024 05:20:14 PM |
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Last File Modification Time | Mar 20, 2024 05:27:34 PM |
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505 | 0 | 0 | |t Introduction --|t Prosody Knowledge for Speech Systems: A Review --|t Analysis of Durations of Sound Units --|t Modeling Duration --|t Modeling Intonation --|t Prosody Modification --|t Practical Aspects of Prosody Modification --|t Summary and Conclusions. |
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