Deep neural networks for oral and written language processing (RAPACE)
Date:  10/2017 - 09/2020
Funding:  RFI AltanStic 2020
Call:  Défis scientifiques 2016
Partners:  LINA (France)URL: https://lium.univ-lemans.fr/en/rapace/
LIUM Participant(s):  |  Antoine Caubrière |  Antoine Laurent |  Yannick Estève | 
The RAPACE project focuses on the implementation of a deep neural architecture, associating specialized hidden layers, to develop a fully neural system of speech processing. The aim is to develop a system for detecting named entities in an audio stream that will rely solely on a deep neural network, as opposed to what has been done for nearly two decades using successive processing chains.

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