5 papers
The Speech-LLM Takes It All: A Truly Fully End-to-End Spoken Dialogue State Tracking Approach
Nizar El Ghazal, Antoine Caubrière, Valentin Vielzeuf
This paper presents a comparative study of context management strategies for end-to-end Spoken Dialog State Tracking using Speech-LLMs. We systematically evaluate traditional multi…
Investigating Low-Cost LLM Annotation for~Spoken Dialogue Understanding Datasets
Lucas Druart, Valentin Vielzeuf, Yannick Estève
In spoken Task-Oriented Dialogue (TOD) systems, the choice of the semantic representation describing the users' requests is key to a smooth interaction. Indeed, the system uses thi…
Are cascade dialogue state tracking models speaking out of turn in spoken dialogues?
Lucas Druart, Léo Jacqmin, Benoît Favre +2
In Task-Oriented Dialogue (TOD) systems, correctly updating the system's understanding of the user's needs is key to a smooth interaction. Traditionally TOD systems are composed of…
Is one brick enough to break the wall of spoken dialogue state tracking?
Lucas Druart, Valentin Vielzeuf, Yannick Estève
In Task-Oriented Dialogue (TOD) systems, correctly updating the system's understanding of the user's requests (\textit{a.k.a} dialogue state tracking) is key to a smooth interactio…
OLISIA: a Cascade System for Spoken Dialogue State Tracking
Léo Jacqmin, Lucas Druart, Yannick Estève +3
Though Dialogue State Tracking (DST) is a core component of spoken dialogue systems, recent work on this task mostly deals with chat corpora, disregarding the discrepancies between…