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Text to speech synthesis : new paradigms and advances

Langue : Anglais

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Couverture de l’ouvrage Text to speech synthesis : new paradigms and advances
New perspectives, ideas and experimental results on Text-to-Speech synthesis.
  • Applications of TTS proliferate our lives increasing the demand for seasoned engineers.
  • Explains the major technological paradigm shift recently in how speech synthesis is done: going from rule-based to explicit data-driven methods.
  • Authors are from the federally funded IMSC research program at USC, and the book will be featured on the IMSC Press Website.
Text to speech synthesis (TTS) is a critical research and application area in the field of multimedia interfaces. Recent advances in TTS will impact is wide number of disciplines from education, business and entertainment applications to medical aids. Until recently, speech synthesis relied on models and rule-based approaches. While this had yielded intelligible sounding speech, the voice quality was unacceptable for widespread adoption. Fortunately, there has been a major technological paradigm shift recently in how speech synthesis is done: going from rule-based to explicit data-driven methods. Recent advances in computing and corpus driven methodologies have yielded exciting possibilities for research and development in this domain yielding highly natural sounding speech. The book focuses on recent advances and new paradigms in text to speech synthesis contributed by leading experts from both academia and industry from across the world. There is no book of this nature that documents in a comprehensive way the recent research trends. This is not only important for researchers and students of the field but potential customers and other benefactors of the results. The book's chapters address key current topic areas in text to speech synthesis (TTS): Data-driven systems, unit selection Hybrid Schemes: interplay between data-driven and knowledge-based techniques, prosody models and generation and expressive speech synthesis.
Preface, Shrikanth Narayanan and Abeer Alwan (Editors). Foreword:Modification of Speech: Tribute to Mike Macon, Jan Van Santen. Section I: Unit Selection Methods.
1. Reducing Discontinuities at Synthesis Time for Corpus-Based Speech Synthesis, Baris Bozkurt, Thierry Dutoit, Romain Prudon, Christopher D'Alessandro, and Vincent Pagel.
2. Voice Quality Variation in a Long-Term Recording of a Single Speaker Speech Corpus, Hisashi Kawai and Minoru Tsuzaki.
3. Join Cost for Unit Selection Speech Synthesis, Jithendra Vepa and Simon King. Section II: HMM-Based Synthesis Schemes.
4. The Use of Speech Recognition Technology in Speech Synthesis, Mari Ostendorf and Ivan Bulyko.
5. An HMM-Based Approach to Multilingual Speech Synthesis, Keiichi Tokuda, Heiga Zen and Alan W. Black.
6. Prosody Control for HMM-Based Japanese TTS, Koji Iwano, Masahiro Yamada, Taro Togawa and Sadaoki Furui. Section III: Expressive Speech Synthesis.
7. Synthesizing Expressive Speech: Overview, Challenges and Open Questions, Murtaza Bulut, Shrikanth Narayanan and Lewis Johnson.
8. Towards Expressive Synthetic Speech, Ellen Eide, Raimo Bakis, Wael Hamza, and John F. Pitrelli.
9. Unit Selection Synthesis of Prosody: Evaluation Using Diphone Transplantation, Romain Prudon, Christophe D'Alessandro and Philippe Boula de Mare eil.
10. Minimizing the Amount of Pitch Modification in Speech Synthesis, Esther Klabbers, Jan van Santen and Johan Wouters. Section IV: Speech Representations and Models for TTS.
11. Articulatory Modeling: A Role in Concatenative Text to Speech Synthesis, M. Mohan Sondhi and Daniel J. Sinder.
Index.

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