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Engineering - Signals & Communication | Predicting Prosody from Text for Text-to-Speech Synthesis

Predicting Prosody from Text for Text-to-Speech Synthesis

Rao, K. Sreenivasa

2012, XII, 130p. 42 illus..

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  • Explores the intuitive relation between prosody and linguistic and production constraints
  • Proposes non-linear models such as neural networks and support vector machines for capturing the prosodic information from the linguistic and production constraints
  • Demonstrates the use of predicted prosodic knowledge for speech, speaker and language

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.

Content Level » Research

Keywords » Duration - Epochs - Glottal closure instants - Intonation - Linguistic constraints - Neural networks - Non-linear models - Pitch - Production constraints - Prosody - Prosody modification - Support vector machines - Text-to-speech synthesis - Time scale modification

Related subjects » Artificial Intelligence - Linguistics - Signals & Communication

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