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{ "item_title" : "Data-Driven Methods for Adaptive Spoken Dialogue Systems", "item_author" : [" Oliver Lemon", "Olivier Pietquin "], "item_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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/46/144/802/1461448026_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Data-Driven Methods for Adaptive Spoken Dialogue Systems|Oliver Lemon

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

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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.

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Details

  • ISBN-13: 9781461448020
  • ISBN-10: 1461448026
  • Publisher: Springer
  • Publish Date: October 2012
  • Dimensions: 9.3 x 6.1 x 0.6 inches
  • Shipping Weight: 1.1 pounds
  • Page Count: 178

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