Overview
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.The book, Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces [Bulk, Wholesale, Quantity] ISBN#9781489992833 in Paperback by may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
Format:
Paperback
Publication Date:
11/09/2014
ISBN-13:
9781489992833
Pages:
178
Publisher:
Springer New York
