Development of a model for predicting timing of back-channel in a real-time spoken dialog system
Author:
Affiliation:
1. Graduate School of Sciences and Technology for Innovation,Tokushima,Japan
2. Toyohashi University of Technology
3. National Institute of Technology,Anan College
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10315246/10315146/10315537.pdf?arnumber=10315537
Reference7 articles.
1. Prototyping of a listening dialogue system that selectively inserts reactive tokens by using acoustic features;fukuno;The Japanese Society for Artificial Intelligence,2018
2. Detection of feeling through back-channels in spoken dialogue;kawahara;Ninth Annual Conference of the International Speech Communication Association,2008
3. Back-channel feedback generation using linguistic and nonlinguistic information and its application to spoken dialogue system
4. backchannel insertion using recognition of prosodic patterns and its evaluation;okato;Journal of Information Processing Society of Japan,1999
5. Generation of natural response timing using decision tree based on prosodic and linguistic information
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