The Speech-LLM Takes It All: A Truly Fully End-to-End Spoken Dialog State Tracking Approach

Proceedings of the Language Resources and Evaluation Conference 2026

View at publisher
Authors: Nizar El Ghazal, Antoine Caubrière, Valentin Vielzeuf
DOI: 10.63317/5dwmfoqycu6w
Cited by: 1

Fields of Study & Subjects

Speech and dialogue systems Speech Recognition and Synthesis Emotion and Mood Recognition

Publication details

Journal / source
Proceedings of the Language Resources and Evaluation Conference
Publisher
European Language Resources Association (ELRA)
Pages
2629–2637
Publication date
30 April 2026