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Predicting Prosody from Text for Text-to-Speech Synthesis: SpringerBriefs in Speech Technology

Autor K. Sreenivasa Rao
en Limba Engleză Paperback – 27 apr 2012
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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Specificații

ISBN-13: 9781461413370
ISBN-10: 1461413370
Pagini: 140
Ilustrații: XII, 130 p. 42 illus.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.21 kg
Ediția:2012
Editura: Springer
Colecția Springer
Seria SpringerBriefs in Speech Technology

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

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.

Textul de pe ultima copertă

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.

Caracteristici

Explores the intuitive relation between prosody and linguistic and production constraints Proposes non-linear models such as neural networks and support vector machines for capturing the prosodic information from the linguistic and production constraints Demonstrates the use of predicted prosodic knowledge for speech, speaker and language Includes supplementary material: sn.pub/extras