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cs.CL2025
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…
cs.CL2023
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…
cs.CL2023
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…