Text to Speech Synthesis: New Paradigms and Advances

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Shrikanth Narayanan, Abeer Alwan
Prentice Hall Professional Technical Reference, 2005 - Computers - 257 pages
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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.

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Contents

REDUCING DISCONTINUITIES AT SYNTHESIS TIME
1
vi
19
VOICE QUALITY VARIATION IN A LONGTERM
26
Copyright

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About the author (2005)

Dr. Shrikanth Narayanan is associate professor at the Signal and Image Processing Institute of USC's Electrical Engineering Department. He founded and directs USC's Speech Analysis and Interpretation Laboratory, and serves as research area director of the Integrated Media Systems Center, an NSF Engineering Research Center. He is associate editor of IEEE Transactions of Speech and Audio Processing, serves on the speech communication technical committee of the Acoustical Society of America, and was Principal Member of Technical Staff at AT&T Laboratories.

Dr. Abeer Alwan, a professor of electrical engineering at UCLA, established and directs the Speech Processing and Auditory Perception Laboratory there. Her research interests include modeling human speech production and perception mechanisms and applying these models to speech-processing applications such as noise-robust automatic speech recnognition, compression, and synthesis. She is a Fellow of the Acoustical Society of America and recently served as editor-in-chief of the journal Speech Communication.



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