4 papers
Efficient keyword spotting using dilated convolutions and gating
Alice Coucke, Mohammed Chlieh, Thibault Gisselbrecht +3
We explore the application of end-to-end stateless temporal modeling to small-footprint keyword spotting as opposed to recurrent networks that model long-term temporal dependencies…
Spoken Language Understanding on the Edge
Alaa Saade, Alice Coucke, Alexandre Caulier +9
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…
Federated Learning for Keyword Spotting
David Leroy, Alice Coucke, Thibaut Lavril +2
We propose a practical approach based on federated learning to solve out-of-domain issues with continuously running embedded speech-based models such as wake word detectors. We con…
Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces
Alice Coucke, Alaa Saade, Adrien Ball +9
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 de…