Data-Driven Methods for Adaptive Spoken Dialogue Systems

Computational Learning for Conversational Interfaces

Editors: Lemon, Oliver, Pietquin, Olivier (Eds.)

  • One of the first books to specifically address adaptive techniques used in dialogue system development
  • Practical examples developed by the editors and colleagues will be included
  • The book will be based on dialogue systems freely available for academic use
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eBook $99.00
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  • ISBN 978-1-4614-4803-7
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  • Immediate eBook download after purchase
Hardcover $129.00
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  • ISBN 978-1-4614-4802-0
  • Free shipping for individuals worldwide
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Softcover $129.00
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  • ISBN 978-1-4899-9283-3
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About this book

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.

About the authors

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.

Table of contents (9 chapters)

  • Conversational Interfaces

    Lemon, Oliver

    Pages 1-4

  • Developing Dialogue Managers from Limited Amounts of Data

    Rieser, Verena (et al.)

    Pages 5-17

  • Data-Driven Methods for Spoken Language Understanding

    Henderson, James (et al.)

    Pages 19-38

  • User Simulation in the Development of Statistical Spoken Dialogue Systems

    Keizer, Simon (et al.)

    Pages 39-73

  • Optimisation for POMDP-Based Spoken Dialogue Systems

    Gašić, Milica (et al.)

    Pages 75-101

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-1-4614-4803-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-1-4614-4802-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • ISBN 978-1-4899-9283-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Data-Driven Methods for Adaptive Spoken Dialogue Systems
Book Subtitle
Computational Learning for Conversational Interfaces
Editors
  • Oliver Lemon
  • Olivier Pietquin
Copyright
2012
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4614-4803-7
DOI
10.1007/978-1-4614-4803-7
Hardcover ISBN
978-1-4614-4802-0
Softcover ISBN
978-1-4899-9283-3
Edition Number
1
Number of Pages
X, 178
Topics