DocumentCode :
2474526
Title :
A statistical signature for automatic dialogue classification
Author :
Pesarin, A. ; Cristani, M. ; Murino, V. ; Drioli, C. ; Perina, A. ; Tavano, A.
Author_Institution :
Dipt. di Inf., Univ. of Verona, Verona, Italy
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
1
Lastpage :
4
Abstract :
In the last few years, there has been a certain attention to the problem of human-human communication, trying to devise artificial systems able to mediate a conversational setting between two or more people. In this paper, we designed an automatic system based on a generative structure able to classify hard dialog acts. The generative model is composed by integrating a hierarchical Gaussian mixture model and the Influence Model, originating a brand new method able to deal with such difficult scenarios. The method has been tested on a set of conversational settings involving dialogues between adults and children and adults, in flat and arguing discussions, proving very accurate classification results.
Keywords :
Gaussian processes; interactive systems; pattern classification; statistical analysis; automatic dialogue classification system; generative model; hierarchical Gaussian mixture model; influence model; statistical signature; Acoustic applications; Application software; Context awareness; Feedback; Hidden Markov models; Humans; Speaker recognition; Speech; Statistics; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
ISSN :
1051-4651
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
Type :
conf
DOI :
10.1109/ICPR.2008.4761075
Filename :
4761075
Link To Document :
بازگشت