Oliver Lemon,
Olivier Pietquin
Springer New York
2012e druk, 2014
9781489992833
Data-Driven Methods for Adaptive Spoken Dialogue Systems
Computational Learning for Conversational Interfaces
Specificaties
Paperback, 178 blz.
|
Engels
Springer New York |
2012e druk, 2014
ISBN13: 9781489992833
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Samenvatting
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.
Specificaties
ISBN13:9781489992833
Taal:Engels
Bindwijze:paperback
Aantal pagina's:178
Uitgever:Springer New York
Druk:2012
Hoofdrubriek:Automatisering algemeen, Computer en informatica
Inhoudsopgave
<p>Chapter 1. Conversational Interfaces.- Chapter 2. Developing Dialogue Managers from Limited Amounts of Data.- Chapter 3. Data-Driven Methods for Spoken Language Understanding.- Chapter 4. User Simulation in the Development of Statistical Spoken Dialogue Systems.- Chapter 5. Optimisation for POMDP-based Spoken Dialogue Systems.- Chapter 6. Statistical Approaches to Adaptive Natural Language Generation.- Chapter 7. Metrics and Evaluation of Spoken Dialogue Systems.- Chapter 8. Data-Driven Methods in Industrial Spoken Dialog Systems.- Chapter 9. Future Research Directions.</p>
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