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Table of contents (12 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Fuelled by cheap computer processing and memory, the fields of machine learning in particular and artificial intelligence in general are increasingly exploiting approaches in which large databases act as implicit knowledge sources, rather than explicit rules manually written by experts. Speech synthesis is one application area where the new approach is proving powerfully effective, the reliance upon fragile specialist knowledge having hindered its development in the past. This book provides the first review of the new topic, with contributions from leading international experts.
Data-Driven Techniques in Speech Synthesis is at the leading edge of current research, written by well respected experts in the field. The text is concise and accessible, and guides the reader through the new technology. The book will primarily appeal to research engineers and scientists working in the area of speech synthesis. However, it will also be of interest to speech scientists and phoneticians as well as managers and project leaders in the telecommunications industry who need an appreciation of the capabilities and potential of modern speech synthesis technology.
Editors and Affiliations
Bibliographic Information
Book Title: Data-Driven Techniques in Speech Synthesis
Editors: Robert I. Damper
Series Title: Telecommunications Technology & Applications Series
DOI: https://doi.org/10.1007/978-1-4757-3413-3
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media Dordrecht 2001
Hardcover ISBN: 978-0-412-81750-2Published: 31 October 2001
Softcover ISBN: 978-1-4419-4733-8Published: 03 December 2010
eBook ISBN: 978-1-4757-3413-3Published: 06 December 2012
Edition Number: 1
Number of Pages: XVIII, 316
Topics: Acoustics, Data Structures and Information Theory, Signal, Image and Speech Processing, Computational Linguistics, Phonology and Phonetics, Artificial Intelligence