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Predicting prosody from text for text-to-speech synthesis [electronic resource]
- 作者： Rao, K. Sreenivasa.
- 其他作者：
- 其他題名：
- SpringerBriefs in electrical and computer engineering.
- 出版： New York, NY : Springer New York
- 叢書名： SpringerBriefs in electrical and computer engineering, Speech technology,
- 主題： Computational linguistics , Versification , Engineering , Signal, Image and Speech Processing. , Computational linguistics , Language Translation and Linguistics.
- ISBN： 9781461413387 (electronic bk.) 、 9781461413370 (paper)
-
FIND@SFXID:
CGU
- 資料類型: 電子書
-
讀者標籤：
- 系統號： 005083944 | 機讀編目格式
館藏資訊
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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