7 citations · 8 across the 2 of their papers we have counts for
4 papers · 1 filter
Small-Footprint Open-Vocabulary Keyword Spotting with Quantized LSTM Networks
Théodore Bluche, Maël Primet, Thibault Gisselbrecht
We explore a keyword-based spoken language understanding system, in which the intent of the user can directly be derived from the detection of a sequence of keywords in the query.…
Predicting detection filters for small footprint open-vocabulary keyword spotting
Theodore Bluche, Thibault Gisselbrecht
In this paper, we propose a fully-neural approach to open-vocabulary keyword spotting, that allows the users to include a customizable voice interface to their device and that does…
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…
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…