Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces - Lemon  Oliver - Books - Springer-Verlag New York Inc. - 9781489992833 - November 9, 2014
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Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces 2012 edition

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Data driven methods have long been used in Automatic Speech Recognition (ASR) and Text-To-Speech (TTS) synthesis and have more recently been introduced for dialogue management, spoken language understanding, and Natural Language Generation. Machine learning is now present "end-to-end" in Spoken Dialogue Systems (SDS).


178 pages, colour illustrations, black & white tables, bibliography

Media Books     Paperback Book   (Book with soft cover and glued back)
Released November 9, 2014
Original release date 2012
ISBN13 9781489992833
Publishers Springer-Verlag New York Inc.
Pages 178
Dimensions 155 × 235 × 10 mm   ·   272 g
Language English  
Editor Lemon, Oliver
Editor Pietquin, Olivier