학술논문
Spoken Language Understanding on the Edge
Document Type
Conference
Author
Source
2019 Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing - NeurIPS Edition (EMC2-NIPS) EMC2-NIPS Energy Efficient Machine Learning and Cognitive Computing - NeurIPS Edition (EMC2-NIPS), 2019 Fifth Workshop on. :57-61 Dec, 2019
Subject
Language
Abstract
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.