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Predicting Prosody from Text for Text-to-Speech Synthesis : SpringerBriefs in Speech Technology - K. Sreenivasa Rao

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Predicting Prosody from Text for Text-to-Speech Synthesis

By: K. Sreenivasa Rao

eText | 27 April 2012

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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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You Can Find This eBook In

Non-FictionEngineering & TechnologyElectronics & Communications EngineeringElectronics EngineeringOther Technologies & Applied SciencesApplied OpticsImaging Systems & TechnologyComputing & I.T.Computer ScienceAudio ProcessingLanguage & LinguisticsLinguistics
Computational LinguisticsArtificial IntelligenceNatural Language & Machine TranslationImage ProcessingDigital Signal Processing (DSP)

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