Ebook: Predicting Prosody from Text for Text-to-Speech Synthesis
Author: K. Sreenivasa Rao (auth.)
- Tags: Signal Image and Speech Processing, Computational Linguistics, Language Translation and Linguistics
- Series: SpringerBriefs in Electrical and Computer Engineering
- Year: 2012
- Publisher: Springer-Verlag New York
- Edition: 1
- Language: English
- pdf
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.
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.
Content:
Front Matter....Pages i-xii
Introduction....Pages 1-6
Prosody Knowledge for Speech Systems: A Review....Pages 7-25
Analysis of Durations of Sound Units....Pages 27-39
Modeling Duration....Pages 41-63
Modeling Intonation....Pages 65-75
Prosody Modification....Pages 77-96
Practical Aspects of Prosody Modification....Pages 97-111
Summary and Conclusions....Pages 113-116
Back Matter....Pages 117-130
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.
Content:
Front Matter....Pages i-xii
Introduction....Pages 1-6
Prosody Knowledge for Speech Systems: A Review....Pages 7-25
Analysis of Durations of Sound Units....Pages 27-39
Modeling Duration....Pages 41-63
Modeling Intonation....Pages 65-75
Prosody Modification....Pages 77-96
Practical Aspects of Prosody Modification....Pages 97-111
Summary and Conclusions....Pages 113-116
Back Matter....Pages 117-130
....