Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces (Hardback)
  • Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces (Hardback)
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Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces (Hardback)

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£88.00
Hardback 178 Pages / Published: 21/10/2012
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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). 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.

Publisher: Springer-Verlag New York Inc.
ISBN: 9781461448020
Number of pages: 178
Weight: 453 g
Dimensions: 235 x 155 x 15 mm
Edition: 2012 ed.

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