English

Spoken Language Understanding on the Edge

Computation and Language 2019-10-04 v2 Machine Learning Sound Audio and Speech Processing

Abstract

We consider the problem of performing Spoken Language Understanding (SLU) on small devices typical of IoT applications. Our contributions are twofold. 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 SLU community.

Keywords

Cite

@article{arxiv.1810.12735,
  title  = {Spoken Language Understanding on the Edge},
  author = {Alaa Saade and Alice Coucke and Alexandre Caulier and Joseph Dureau and Adrien Ball and Théodore Bluche and David Leroy and Clément Doumouro and Thibault Gisselbrecht and Francesco Caltagirone and Thibaut Lavril and Maël Primet},
  journal= {arXiv preprint arXiv:1810.12735},
  year   = {2019}
}

Comments

arXiv admin note: text overlap with arXiv:1805.10190

R2 v1 2026-06-23T04:57:40.137Z