Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces - Oliver Lemon - Books - Springer-Verlag New York Inc. - 9781461448020 - October 21, 2012
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Oliver Lemon
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).

195 pages, 27 black & white illustrations, 8 colour illustrations, 23 black & white tables, biograph

Media Books     Hardcover Book   (Book with hard spine and cover)
Released October 21, 2012
ISBN13 9781461448020
Publishers Springer-Verlag New York Inc.
Genre Aspects (Academic) > Science / Technology Aspects
Pages 178
Dimensions 155 × 235 × 15 mm   ·   498 g
Language English  
Editor Lemon, Oliver
Editor Pietquin, Olivier

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