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Predicting Prosody from Text for Text-to-Speech Synthesis

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 discus...

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Detalles Bibliográficos
Autor principal: Rao, K Sreenivasa
Lenguaje:eng
Publicado: Springer 2012
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-1-4614-1338-7
http://cds.cern.ch/record/1503739
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author Rao, K Sreenivasa
author_facet Rao, K Sreenivasa
author_sort Rao, K Sreenivasa
collection CERN
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.
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institution Organización Europea para la Investigación Nuclear
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spelling cern-15037392021-04-21T23:53:43Zdoi:10.1007/978-1-4614-1338-7http://cds.cern.ch/record/1503739engRao, K SreenivasaPredicting Prosody from Text for Text-to-Speech SynthesisEngineeringPredicting 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.Springeroai:cds.cern.ch:15037392012
spellingShingle Engineering
Rao, K Sreenivasa
Predicting Prosody from Text for Text-to-Speech Synthesis
title Predicting Prosody from Text for Text-to-Speech Synthesis
title_full Predicting Prosody from Text for Text-to-Speech Synthesis
title_fullStr Predicting Prosody from Text for Text-to-Speech Synthesis
title_full_unstemmed Predicting Prosody from Text for Text-to-Speech Synthesis
title_short Predicting Prosody from Text for Text-to-Speech Synthesis
title_sort predicting prosody from text for text-to-speech synthesis
topic Engineering
url https://dx.doi.org/10.1007/978-1-4614-1338-7
http://cds.cern.ch/record/1503739
work_keys_str_mv AT raoksreenivasa predictingprosodyfromtextfortexttospeechsynthesis