Predicting Prosody from Text for Text-to-Speech Synthesis

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Éditeur :

Springer


Collection :

SpringerBriefs in Speech Technology

Paru le : 2012-04-27

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Description

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.
Pages
130 pages
Collection
SpringerBriefs in Speech Technology
Parution
2012-04-27
Marque
Springer
EAN papier
9781461413370
EAN EPUB
9781461413387

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
13
Taille du fichier
5734 Ko
Prix
52,74 €