Sunday 27 June 2010

Data-Driven Methods for Adaptive Spoken Dialogue Systems

Data-Driven Methods for Adaptive Spoken Dialogue Systems



Author:
Edition: 2012
Publisher: Springer
Binding: Hardcover
ISBN: 1461448026
Category: Programming
List Price: $ 109.00
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Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces



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. Programming books Data-Driven Methods for Adaptive Spoken Dialogue Systems pdf. . Download books Data-Driven Methods for Adaptive Spoken Dialogue Systems pdf via mediafire, 4shared, rapidshare.

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Price comparison for Data-Driven Methods for Adaptive Spoken Dialogue Systems

Data-Driven Methods for Adaptive Spoken Dialogue Systems
Price: $109
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 fo

Data-Driven Methods for Adaptive Spoken Dialogue Systems
Price: $79.95
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 fo

data-driven methods for adaptive spoken dialogue systems: computational lear
Price: $131.72
Store Search search Title, ISBN and Author Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces Estimated delivery 3-12 business days Format Hardcover Condition Brand New Based on dialogue systems freely available for academic use, this book covers state-of-the-art research in data-driven, machine-learning approaches to developing spoken conversational interfaces, collating the data from the EU s groundbreaking CLASSIC project. Publisher

Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces (Hardcover)
Price: $110.03
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

Data-driven Methods For Adaptive Spoken Dialogue Systems: Computational Learning
Price: $111.38
format hardback language english publication year 21 10 2012 subject computing it subject 2 computing professional programming title data driven methods for adaptive spoken dialogue systems computational learning for conversational interfaces author lemon oliver editor pietquin olivier editor publisher springer verlag new york inc publication date oct 21 2012 pages 186 binding hardcover edition 2012 dimensions 8 25 wx 9 00 hx 0 50 d isbn 1461448026 subject computers user interfaces brand new h



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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. Download free Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces pdf

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