Title
Coherent back-channel feedback tagging of in-car spoken dialogue corpus
Abstract
This paper describes the design of a back-channel feedback corpus and its evaluation, aiming at realizing in-car spoken dialogue systems with high responsiveness. We constructed our corpus by annotating the existing in-car spoken dialogue data with back-channel feedback timing information in an off-line environment. Our corpus can be practically used in developing dialogue systems which can provide verbal back-channel feedbacks. As the results of our evaluation, we confirmed that our proposed design enabled the construction of back-channel feedback corpora with high coherency and naturalness.
Year
Venue
Keywords
2010
SIGDIAL Conference
verbal back-channel feedbacks,high responsiveness,existing in-car,high coherency,coherent back-channel feedback,back-channel feedback timing information,dialogue data,back-channel feedback corpus,dialogue system,off-line environment,dialogue corpus,proposed design
Field
DocType
Citations 
Computer science,Naturalness,Speech recognition,Artificial intelligence,Natural language processing,Back channel
Conference
3
PageRank 
References 
Authors
0.52
2
3
Name
Order
Citations
PageRank
Yuki Kamiya1102.98
Tomohiro Ohno23110.06
Shigeki Matsubara317943.41