—Based on a study of the engagement process between humans, we have developed and implemented an initial computational model for recognizing engagement between a human and a huma...
Charles Rich, Brett Ponsleur, Aaron Holroyd, Canda...
Spoken dialogue systems are gaining popularity with improvements in speech recognition technologies. Dialogue systems can be modeled effectively using POMDPs, achieving improvemen...
The monitoring of emotional user states can help to assess the progress of human-machine-communication. If we look at specific databases, however, we are faced with several problem...
Anton Batliner, Christian Hacker, Stefan Steidl, E...
This paper introduces a method for regularization of HMM systems that avoids parameter overfitting caused by insufficient training data. Regularization is done by augmenting the E...
State-of-the-art large vocabulary continuous speech recognition (LVCSR) systems often combine outputs from multiple subsystems developed at different sites. Cross system adaptatio...