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

Fuente: arXiv

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Bibliographic Details
Main Authors:	Ghazal, Nizar El, Caubrière, Antoine, Vielzeuf, Valentin
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Machine Learning Audio and Speech Processing
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2510.09424