Spoken Dialogue SystemsConsiderable progress has been made in recent years in the development of dialogue systems that support robust and efficient human-machine interaction using spoken language. Spoken dialogue technology allows various interactive applications to be built and used for practical purposes, and research focuses on issues that aim to increase the system's communicative competence by including aspects of error correction, cooperation, multimodality, and adaptation in context. This book gives a comprehensive view of state-of-the-art techniques that are used to build spoken dialogue systems. It provides an overview of the basic issues such as system architectures, various dialogue management methods, system evaluation, and also surveys advanced topics concerning extensions of the basic model to more conversational setups. The goal of the book is to provide an introduction to the methods, problems, and solutions that are used in dialogue system development and evaluation. It presents dialogue modelling and system development issues relevant in both academic and industrial environments and also discusses requirements and challenges for advanced interaction management and future research. Table of Contents: Preface / Introduction to Spoken Dialogue Systems / Dialogue Management / Error Handling / Case Studies: Advanced Approaches to Dialogue Management / Advanced Issues / Methodologies and Practices of Evaluation / Future Directions / References / Author Biographies |
Contents
| 1 | |
Chapter 2Dialogue Management | 23 |
Chapter 3Error Handling | 47 |
Advanced Approaches to Dialogue Management | 61 |
Chapter 5Advanced Issues | 85 |
Chapter 6Methodologies and Practices of Evaluation | 99 |
Chapter 7Future Directions | 127 |
References | 135 |
Author Biographies | 151 |
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Common terms and phrases
action adaptation agents annotation approaches to dialogue architecture AthosMail attribute Automatic Speech Recognition Bohus Chapter communication concerned confidence scores conversational cooperation corpora corpus CSLU toolkit database dialogue act Dialogue Context Model dialogue control dialogue management dialogue modeling dialogue strategies discourse domain efficiency elicited error handling evaluation example frame framework function goals grammar handcrafted human human–computer interactions implemented initiative interaction interface interpretation involves issues Jokinen kappa statistic learning machine learning measures methods metrics modalities multimodal Multimodal Interaction natural language Natural Language Processing optimal output POMDP possible prompt question real users referred relevant response Section semantic software agents specify speech recognition Speech Synthesis spoken dialogue systems spoken dialogue technology statistical supervised learning system performance system’s task completion techniques tion toolkits updated usability user modelling user satisfaction user simulations user’s input user’s utterance values VoiceXML whereas