Datadriven Methods For Adaptive Spoken Dialogue Systems Computational Learning For Conversational Interfaces 1st Edition Oliver Lemon Auth by Oliver Lemon (auth.), Oliver Lemon, Olivier Pietquin (eds.) 9781461448020, 9781461448037, 1461448026, 1461448034 instant download after payment.

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.