Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces...

— —

Oliver Lemon Olivier Pietquin

Data-Driven Methods for Adaptive Spoken Dialogue Systems

Computational Learning for Conversational Interfaces

Oliver Lemon, Olivier Pietquin

$251.95 $201.58

Hardback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Springer-Verlag New York Inc.
21 October 2012

Algorithms & data structures; Natural language & machine translation; Speech recognition; User interface design & usability

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). However, these techniques require data collection and annotation campaigns, which can be time-consuming and expensive, as well as dataset expansion by simulation. In this book, we provide an overview of the current state of the field and of recent advances, with a specific focus on adaptivity.

Edited by: Oliver Lemon, Olivier Pietquin
Imprint: Springer-Verlag New York Inc.
Country of Publication: United States
Edition: 2012 ed.
Dimensions: Height: 235mm, Width: 155mm, Spine: 15mm
Weight: 453g
ISBN: 9781461448020
ISBN 10: 1461448026
Pages: 178
Publication Date: 21 October 2012
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Oliver Lemon is a Reader and head of the Interaction Lab in the school of Mathematical and Computer Sciences at Heriot Watt University, Edinburgh. Dr. Lemon is currently serving as the Program Chair for SIGDial 2010 and as a member of the Program Committee of INLG 2010. He is also on the Editorial Board of the new journal ""Dialogue & Discourse"". Prof. Pietquin and Dr. Lemon were co-chairs of the special session ""Machine learning for adaptivity in spoken dialogue systems"" at the InterSpeech 2009 conference, which inspired the development of this book. Olivier Pietquin is an Associate Professor at the Ecole Superieure d'Electricite (Supelec, France), where he founded and currently heads the ""Information, Multimodality & Signal"" (IMS) research group. He is an elected member of the IEEE Speech and Language Technical Committee. Prof. Pietquin has four patents and has been published in over 45 journal articles, edited books, and conference proceedings.