DocumentCode
3703398
Title
Automated conversation skills assistant
Author
Mohammad Rafayet Ali
Author_Institution
Department of Computer Science, University of Rochester, Rochester, NY, United States
fYear
2015
Firstpage
760
Lastpage
765
Abstract
Conversational skills training are getting popular now a days but often very hard to get due to expense and lack of accessibility. In this paper, we present the idea of an automated conversational skills training assistant, which provides both realtime and post summary feedback while having a conversation with a virtual agent. Our exploratory effort shows the applicability of this system and significant improvement of our participant´s conversational skills over a control group. We present our intended goals and the methodologies that we will use on our collected training data in order to automate this system in future.
Keywords
"Real-time systems","Training","Speech","Speech recognition","Context","Training data","Computers"
Publisher
ieee
Conference_Titel
Affective Computing and Intelligent Interaction (ACII), 2015 International Conference on
Electronic_ISBN
2156-8111
Type
conf
DOI
10.1109/ACII.2015.7344655
Filename
7344655
Link To Document