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Predicting Prosody from Text for Text-to-Speech Synthesis
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Artikel-Nr:
9781461413387
Veröffentl:
2012
Einband:
eBook
Seiten:
130
Autor:
K. Sreenivasa Rao
Serie:
SpringerBriefs in Speech Technology
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:
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.
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.
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.