297 citations · 354 across the 4 of their papers we have counts for
6 papers
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…
Joint Line Segmentation and Transcription for End-to-End Handwritten Paragraph Recognition
Théodore Bluche
Offline handwriting recognition systems require cropped text line images for both training and recognition. On the one hand, the annotation of position and transcript at line level…
Scan, Attend and Read: End-to-End Handwritten Paragraph Recognition with MDLSTM Attention
Théodore Bluche, Jérôme Louradour, Ronaldo Messina
We present an attention-based model for end-to-end handwriting recognition. Our system does not require any segmentation of the input paragraph. The model is inspired by the differ…