Spoken Dialogue Systems
abbreviation(s): SDS
definition: Spoken Dialogue Systems are automatic systems that interact with humans (or other systems) by accepting spoken language input and producing spoken language output. Spoken language input is handled by speech recognition, and language analysis and understanding components. Spoken language output is achieved by playback of recorded human speech, or by speech synthesis. Spoken dialogue systems include a component for dialogue control, which may make use of artificial intelligence techniques. Spoken dialogue systems are widely used for information and transaction systems, such as stock market information or travel reservation.
See also the corresponding HLT Survey chapter: http://www.lt-world.org/hlt_survey/ltw-chapter6-4.pdf
related project(s):
- Task Oriented Instructional Dialogue (TRINDI)
- Spoken Language Dialogue Systems and Components (DISC)
- Multilevel Annotation, Tools Engineering MATE: Multilevel Annotation Tools Engineering (MATE)
- International Standards for Language Engineering (ISLE)
- SmartKom
- Talk and Look - Tools for Ambient Linguistic Knowledge (TALK)
- Architecture and Tools for Linguistic Analysis Systems (ATLAS)
related organisation(s):
- University of Southern California
- Oregon Graduate Institute of Science and Technology (OGI)
- Department of Computer Science
related person(s):
- Robin Cooper
- Maria Aretoulaki
- Jennifer Chu-Carroll
- Laila Dybkjær
- Diane J. Litman
- David R. Traum
- Niels Ole Bernsen
related system(s) / resource(s):
- VoxPilot
- IBM Websphere Voice Server
- Sympalog Speech Solutions
- TellMe.
- Products by VoiceObjects
- Nuance Network Speech Solutions
- BeVocal
relevant source(s):
related publication(s):
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