Predicting Prosody from Text for Text-to-Speech Synthesis Predicting Prosody from Text for Text-to-Speech Synthesis

Predicting Prosody from Text for Text-to-Speech Synthesis

    • 42,99 €
    • 42,99 €

Description de l’éditeur

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.

GENRE
Professionnel et technique
SORTIE
2012
27 avril
LANGUE
EN
Anglais
LONGUEUR
142
Pages
ÉDITIONS
Springer New York
TAILLE
8,3
Mo

Plus de livres par K. Sreenivasa Rao

Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis
2018
Speech Recognition Using Articulatory and Excitation Source Features Speech Recognition Using Articulatory and Excitation Source Features
2017
Language Identification Using Spectral and Prosodic Features Language Identification Using Spectral and Prosodic Features
2015
Language Identification Using Excitation Source Features Language Identification Using Excitation Source Features
2015
Robust Speaker Recognition in Noisy Environments Robust Speaker Recognition in Noisy Environments
2014
Speech Processing in Mobile Environments Speech Processing in Mobile Environments
2014