Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Supporting your high street Find out how »
Data-Driven Methods for Adaptive Spoken Dialogue Systems : Computational Learning for Conversational Interfaces, Paperback / softback Book

Data-Driven Methods for Adaptive Spoken Dialogue Systems : Computational Learning for Conversational Interfaces Paperback / softback

Edited by Oliver Lemon, Olivier Pietquin

Paperback / softback

Item not Available

Description

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.

Information

Save 18%

£96.50

£78.95

Item not Available
Item not Available
Sign in to add to wishlist
 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops

Information