1 citations · 1 across the 3 of their papers we have counts for
3 papers
A Hierarchical Deep Learning Approach for Minority Instrument Detection
Dylan Sechet, Francesca Bugiotti, Matthieu Kowalski +2
Identifying instrument activities within audio excerpts is vital in music information retrieval, with significant implications for music cataloging and discovery. Prior deep learni…
Revisiting CHAMPAGNE: Sparse Bayesian Learning as Reweighted Sparse Coding
Dylan Sechet, Matthieu Kowalski, Samy Mokhtari +1
This paper revisits the CHAMPAGNE algorithm within the Sparse Bayesian Learning (SBL) framework and establishes its connection to reweighted sparse coding. We demonstrate that the…
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals
Clément Bonet, Benoît Malézieux, Alain Rakotomamonjy +4
When dealing with electro or magnetoencephalography records, many supervised prediction tasks are solved by working with covariance matrices to summarize the signals. Learning with…