2019
Improving the Prediction of Therapist Behaviors in Addiction Counseling by Exploiting Class Confusions
ICASSP 2019accepted
In this work we address the problem of joint prosodic and lexical behavioral annotation for addiction counseling. We expand on past work that employed Recurrent Neural Networks (RNNs) on multimodal features by grouping and classifying subsets of classes. We propose two implementations: One is hierar…