1 citations · 1 across the 4 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.SD2023
Adapting a ConvNeXt model to audio classification on AudioSet
Thomas Pellegrini, Ismail Khalfaoui-Hassani, Etienne Labbé +1
In computer vision, convolutional neural networks (CNN) such as ConvNeXt, have been able to surpass state-of-the-art transformers, partly thanks to depthwise separable convolutions…
cs.SD2023
Multitask learning in Audio Captioning: a sentence embedding regression loss acts as a regularizer
Etienne Labbé, Julien Pinquier, Thomas Pellegrini
In this work, we propose to study the performance of a model trained with a sentence embedding regression loss component for the Automated Audio Captioning task. This task aims to…