We compare the relative utility of different automatically computable linguistic feature sets for modeling student learning in computer dialogue tutoring. We use the PARADISE frame...
Katherine Forbes-Riley, Diane J. Litman, Amruta Pu...
We perform a large-scale evaluation of multiple off-the-shelf speech recognizers across diverse domains for virtual human dialogue systems. Our evaluation is aimed at speech recog...
In this paper we present an approach to recognition confidence scoring and a set of techniques for integrating confidence scores into the understanding and dialogue components of ...
Timothy J. Hazen, Stephanie Seneff, Joseph Polifro...
Multilingual speech recognition obviously involves numerous research challenges, including common phoneme sets, adaptation on limited amount of training data, as well as mixed lan...
The automatic recognition of user’s communicative style within a spoken dialog system framework, including the affective aspects, has received increased attention in the past f...
Serdar Yildirim, Shrikanth Narayanan, Alexandros P...