2 papers
eess.AS2020
Deep Neural Networks for Automatic Speech Processing: A Survey from Large Corpora to Limited Data
Vincent Roger, Jérôme Farinas, Julien Pinquier
Most state-of-the-art speech systems are using Deep Neural Networks (DNNs). Those systems require a large amount of data to be learned. Hence, learning state-of-the-art frameworks…
cs.SD2018
The Airbus Air Traffic Control speech recognition 2018 challenge: towards ATC automatic transcription and call sign detection
Thomas Pellegrini, Jérôme Farinas, Estelle Delpech +1
In this paper, we describe the outcomes of the challenge organized and run by Airbus and partners in 2018. The challenge consisted of two tasks applied to Air Traffic Control (ATC)…