Quality-adaptive Spoken Dialogue Initiative Selection And Implications On Reward Modelling

Towards Quality-Adaptive Spoken Dialogue Management

WavAlign: Enhancing Intelligence and Expressiveness in Spoken Dialogue Models via Adaptive Hybrid Post-Training

End-to-end spoken dialogue models have garnered significant attention because they offer a higher potential ceiling in expressiveness and perceptual ability than cascaded systems. However, the intelligence and expressive…

TAKE: Topic-shift Aware Knowledge sElection for Dialogue Generation

Knowledge-grounded dialogue generation consists of two subtasks: knowledge selection and response generation. The knowledge selector generally constructs a query based on the dialogue context and selects the most appropr…

First Insight into Quality-Adaptive Dialogue

While Spoken Dialogue Systems have gained in importance in recent years, most systems applied in the real world are still static and error-prone. To overcome this, the user is put into the focus of dialogue management. H…

Enabling robust and fluid spoken dialogue with cognitively impaired users

We present the flexdiam dialogue management architecture, which was developed in a series of projects dedicated to tailoring spoken interaction to the needs of users with cognitive impairments in an everyday assistive do…