Predicting Prosody from Text for Text-to-Speech Synthesis

2012
ISBN: 978-1-4614-1337-0
Verlag: Springer

Buch, Englisch, 130 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 230 g

Reihe: SpringerBriefs in Speech Technology

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.

Zielgruppe

Research

Autoren/Hrsg.

Rao, K. Sreenivasa

Fachgebiete

• Geisteswissenschaften Sprachwissenschaft Phonetik, Phonologie, Prosodie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung

Inhaltsverzeichnis

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.