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.
- | Author: Oliver Lemon
- | Publisher: Springer
- | Publication Date: Nov 09, 2014
- | Number of Pages: 178 pages
- | Binding: Paperback or Softback
- | ISBN-10: 1489992839
- | ISBN-13: 9781489992833
