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Spoken Language Understanding on the Edge Open
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 …
Snips Voice Platform: an embedded Spoken Language Understanding system\n for private-by-design voice interfaces Open
This paper presents the machine learning architecture of the Snips Voice\nPlatform, a software solution to perform Spoken Language Understanding on\nmicroprocessors typical of IoT devices. The embedded inference is fast and\naccurate while…
Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces Open
This paper presents the machine learning architecture of the Snips Voice Platform, a software solution to perform Spoken Language Understanding on microprocessors typical of IoT devices. The embedded inference is fast and accurate while en…