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Data-Driven Methods for Adaptive Spoken Dialogue Systems

Computational Learning for Conversational Interfaces

Format: Hardback
Publisher: Springer-Verlag New York Inc., New York, NY, United States
Published: 21st Oct 2012
Dimensions: w 156mm h 234mm d 13mm
Weight: 444g
ISBN-10: 1461448026
ISBN-13: 9781461448020
Barcode No: 9781461448020
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Synopsis
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.

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