1 citations · 1 across the 1 of their papers we have counts for
4 papers
Is my automatic audio captioning system so bad? spider-max: a metric to consider several caption candidates
Etienne Labbé, Thomas Pellegrini, Julien Pinquier
Automatic Audio Captioning (AAC) is the task that aims to describe an audio signal using natural language. AAC systems take as input an audio signal and output a free-form text sen…
End-to-end acoustic modelling for phone recognition of young readers
Lucile Gelin, Morgane Daniel, Julien Pinquier +1
Automatic recognition systems for child speech are lagging behind those dedicated to adult speech in the race of performance. This phenomenon is due to the high acoustic and lingui…
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…
Improving Vehicle Re-Identification using CNN Latent Spaces: Metrics Comparison and Track-to-track Extension
Geoffrey Roman-Jimenez, Patrice Guyot, Thierry Malon +7
This paper addresses the problem of vehicle re-identification using distance comparison of images in CNN latent spaces. Firstly, we study the impact of the distance metrics, compar…