Spoken Language Understanding on the Edge

10/30/2018

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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.

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Spoken Language Understanding on the Edge

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Spoken Language Understanding on the Edge

Related Research

Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces

Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers

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