Springer
Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces
Product Code:
9781461448020
ISBN13:
9781461448020
Condition:
New
$118.37
Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces
$118.37
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.
| Author: Oliver Lemon |
| Publisher: Springer |
| Publication Date: Oct 21, 2012 |
| Number of Pages: 178 pages |
| Binding: Hardback or Cased Book |
| ISBN-10: 1461448026 |
| ISBN-13: 9781461448020 |
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