7 citations · 7 across the 1 of their papers we have counts for
3 papers
cs.CL2020★ 7 cited
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.…
cs.CL2018
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…
cs.CL2018
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…