Abstract
Spoken dialogue systems are a new breed of interfaces that enable humans to communicate with machines naturally and efficiently using a conversational paradigm. Such a system makes use of many human language technology (HLT) components, including speech recognition and synthesis, natural language understanding and generation, discourse modeling, and dialogue management. In this contribution, we introduce the nature of these interfaces, describe the underlying HLTs on which they are based, and discuss some of the development issues. After providing a historical perspective, we outline some new research directions.
Keywords
- Speech Recognition
- Automatic Speech Recognition
- Interactive Voice Response
- Dialogue System
- Word Error Rate
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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- ARISE:
-
Automatic Railway Information Systems for Europe
- ASR:
-
automatic speech recognition
- ATN:
-
augmented transition networks
- BBN:
-
Bolt, Beranek and Newman
- DARPA:
-
Defense Advanced Research Projects Agency
- FST:
-
finite state transducer
- HLT:
-
human language technologies
- ISU:
-
information state update
- IVR:
-
interactive voice response
- MDP:
-
Markov decision process
- NLG:
-
natural language generation
- NLU:
-
natural language understanding
- SLS:
-
spoken language system
- SUNDIAL:
-
speech understanding and dialog
- TTS:
-
text-to-speech
- WER:
-
word error rate
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Zue, V., Seneff, S. (2008). Spoken Dialogue Systems. In: Benesty, J., Sondhi, M.M., Huang, Y.A. (eds) Springer Handbook of Speech Processing. Springer Handbooks. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-49127-9_35
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