Search Results for author: Thibault Gisselbrecht

Found 6 papers, 4 papers with code

Small-Footprint Open-Vocabulary Keyword Spotting with Quantized LSTM Networks

no code implementations25 Feb 2020 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.

Keyword Spotting Spoken Language Understanding

Predicting detection filters for small footprint open-vocabulary keyword spotting

no code implementations16 Dec 2019 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 not require task-specific data.

Keyword Spotting

Efficient keyword spotting using dilated convolutions and gating

4 code implementations19 Nov 2018 Alice Coucke, Mohammed Chlieh, Thibault Gisselbrecht, David Leroy, Mathieu Poumeyrol, Thibaut Lavril

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 using internal states.

Small-Footprint Keyword Spotting

Federated Learning for Keyword Spotting

1 code implementation9 Oct 2018 David Leroy, Alice Coucke, Thibaut Lavril, Thibault Gisselbrecht, Joseph Dureau

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.

Federated Learning Keyword Spotting

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