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Data-Driven Methods for Adaptive Spoken Dialogue Systems

Computational Learning for Conversational Interfaces

Gebonden Engels 2012 2012e druk 9781461448020
Verwachte levertijd ongeveer 9 werkdagen

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

ISBN13:9781461448020
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:178
Uitgever:Springer New York
Druk:2012

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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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        Data-Driven Methods for Adaptive Spoken Dialogue Systems