DialPort: Connecting the Spoken Dialog Research Community to Real User Data
June 08, 2016 Β· Declared Dead Β· π Spoken Language Technology Workshop
"No code URL or promise found in abstract"
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Authors
Tiancheng Zhao, Kyusong Lee, Maxine Eskenazi
arXiv ID
1606.02562
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.CL
Citations
22
Venue
Spoken Language Technology Workshop
Last Checked
4 months ago
Abstract
This paper describes a new spoken dialog portal that connects systems produced by the spoken dialog academic research community and gives them access to real users. We introduce a distributed, multi-modal, multi-agent prototype dialog framework that affords easy integration with various remote resources, ranging from end-to-end dialog systems to external knowledge APIs. To date, the DialPort portal has successfully connected to the multi-domain spoken dialog system at Cambridge University, the NOAA (National Oceanic and Atmospheric Administration) weather API and the Yelp API.
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