The design of an embedded, private-by-design SLU system is outlined and it is shown that it has performance on-par with cloud-based commercial solutions.
We consider the problem of performing Spoken Language Understanding (SLU) on small devices typical of IoT applications. Our contribution is two-fold. First, we outline the design of an embedded, private-by-design SLU system and show that it has performance on-par with cloud-based commercial solutions. Second, we release the datasets used in our experiments in the interest of reproducibility and in the hope that they can prove useful to the community.
Théodore Bluche
2 papers
A. Caulier
2 papers
David Leroy
3 papers
Clément Doumouro
2 papers
Thibault Gisselbrecht
3 papers
F. Caltagirone
2 papers
Thibaut Lavril
10 papers
Maël Primet
2 papers
J. Dureau
2 papers