3 accepted papers
Multi-domain dialogue systems face challenges such as scaling algorithms to handle large ontologies, or transferring trained policy models to unseen domains. We attempt to address these challenges by proposing a dialogue management architecture that has an abstracted view of the world but yet is abl…
This paper addresses the problem of speech emotion recognition from movie audio tracks. The recently collected Acted Facial Expression in the Wild 5.0 database is used. The aim is to discriminate among angry, happy, and neutral. We extract a relatively small number of features, a subset of which is…
Statistical methods for Spoken Dialogue Systems have been shown to reduce the cost of development, while successfully handling a variety of applications. However, such systems are usually trained with simulated users or paid subjects in controlled settings. While this may be sufficient to jump-start…