Predicting Prosody from Text for Text-to-Speech Synthesis [electronic resource] / by K. Sreenivasa Rao.Material type: TextLanguage: English Series: SpringerBriefs in Electrical and Computer Engineering: Publisher: New York, NY : Springer New York : Imprint: Springer, 2012Description: XII, 130p. 42 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781461413387Subject(s): Engineering | Translators (Computer programs) | Computational linguistics | Engineering | Signal, Image and Speech Processing | Computational Linguistics | Language Translation and LinguisticsAdditional physical formats: Printed edition:: No titleDDC classification: 621.382 LOC classification: TK5102.9TA1637-1638TK7882.S65Online resources: Click here to access online
1. Introduction -- 2. Prosody Knowledge for Speech Systems: A Review -- 3. Analysis of Durationsn of Sound Units -- 4. Modeling Duration -- 5. Modeling Intonation -- 6. Prosody Modification -- 7. Practical Aspects of Prosody Modification -- 8. Summary and Conclusions -- Appendix A. Coding Scheme Used to Represent Linguistic and Production Constraints.
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.