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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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Rao, K. Sreenivasa (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: New York, NY : Springer New York : Imprint: Springer, 2012.
Édition:1st ed. 2012.
Collection:SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
Sujets:
Signal processing.
Computational linguistics.
Natural language processing (Computer science).
Signal, Speech and Image Processing .
Computational Linguistics.
Natural Language Processing (NLP).
Accès en ligne:Texto Completo
Table des matières:
  • 1. Introduction
  • 2. Prosody Knowledge for Speech Systems: A Review
  • 3. Analysis of Durationsn of Sound Units
  • 4. Modeling Duration
  • 5. Modeling Intonation
  • 6. Prosody Modification
  • 7. Practical Aspects of Prosody Modification
  • 8. Summary and Conclusions
  • Appendix A. Coding Scheme Used to Represent Linguistic and Production Constraints.

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