Spoken Language Understanding on the Edge

被引：7

作者：

Saade, Alaa ^{[1
]}

Dureau, Joseph ^{[1
]}

Leroy, David ^{[1
]}

Caltagirone, Francesco ^{[1
]}

Coucke, Alice ^{[1
]}

Ball, Adrien ^{[1
]}

Doumouro, Clement ^{[1
]}

Lavril, Thibaut ^{[1
]}

Caulier, Alexandre ^{[1
]}

Bluche, Theodore ^{[1
]}

Gisselbrecht, Thibault ^{[1
]}

Primet, Mael ^{[1
]}

机构：

[1] Snips, Paris, France

来源：

FIFTH WORKSHOP ON ENERGY EFFICIENT MACHINE LEARNING AND COGNITIVE COMPUTING - NEURIPS EDITION (EMC2-NIPS 2019) | 2019年

关键词：

spoken language understanding; speech recognition; privacy; embedded inference;

D O I：

10.1109/EMC2-NIPS53020.2019.00021

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：57 / 61

页数：5

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