Share
data-driven methods for adaptive spoken dialogue systems: computational learning for conversational interfaces (in English)
Oliver Lemon
(Illustrated by)
·
Olivier Pietquin
(Illustrated by)
·
Springer
· Hardcover
data-driven methods for adaptive spoken dialogue systems: computational learning for conversational interfaces (in English) - Lemon, Oliver ; Pietquin, Olivier
$ 104.20
$ 109.99
You save: $ 5.79
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My WishlistsIt will be shipped from our warehouse between
Monday, June 10 and
Tuesday, June 11.
You will receive it anywhere in United States between 1 and 3 business days after shipment.
Synopsis "data-driven methods for adaptive spoken dialogue systems: computational learning for conversational interfaces (in English)"
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.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.
✓ Producto agregado correctamente al carro, Ir a Pagar.