59 citations · 182 across the 13 of their papers we have counts for
3 papers · 1 filter
Technical report: supervised training of convolutional spiking neural networks with PyTorch
Romain Zimmer, Thomas Pellegrini, Srisht Fateh Singh +1
Recently, it has been shown that spiking neural networks (SNNs) can be trained efficiently, in a supervised manner, using backpropagation through time. Indeed, the most commonly us…
Evaluation of post-processing algorithms for polyphonic sound event detection
Leo Cances, Patrice Guyot, Thomas Pellegrini
Sound event detection (SED) aims at identifying audio events (audio tagging task) in recordings and then locating them temporally (localization task). This last task ends with the…
Cosine-similarity penalty to discriminate sound classes in weakly-supervised sound event detection
Thomas Pellegrini, Léo Cances
The design of new methods and models when only weakly-labeled data are available is of paramount importance in order to reduce the costs of manual annotation and the considerable h…