Predicting Prosody from Text for Text-to-Speech Synthesis

• Κύριος συγγραφέας: Rao, K. Sreenivasa (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2012.
• Σειρά: SpringerBriefs in Electrical and Computer Engineering,
• Θέματα: Engineering.; Computational linguistics.; Signal, Image and Speech Processing.; Computational Linguistics.; Language Translation and Linguistics.

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 discus...

Πίνακας περιεχομένων:

• 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.