no code implementations • 26 Feb 2024 • Ivan Magrin-Chagnolleau, Jean François Bonastre, Frédéric Bimbot
The goal is to investigate on the kind of information which is used by these methods, and where it is located in the speech signal.
no code implementations • 30 Nov 2023 • Axel Marmoret, Jérémy E. Cohen, Frédéric Bimbot
Music Structure Analysis (MSA) is a Music Information Retrieval task consisting of representing a song in a simplified, organized manner by breaking it down into sections typically corresponding to ``chorus'', ``verse'', ``solo'', etc.
no code implementations • 27 Oct 2022 • Axel Marmoret, Jérémy E. Cohen, Frédéric Bimbot
In particular, the CBM algorithm is a dynamic programming algorithm, applying on autosimilarity matrices, a standard tool in MSA.
no code implementations • 10 Feb 2022 • Axel Marmoret, Jérémy E. Cohen, Frédéric Bimbot
More specifically, under the hypothesis that MSA is correlated with similarities occurring at the bar scale, this article introduces the use of linear and non-linear compression schemes on barwise audio signals.
1 code implementation • 27 Oct 2021 • Axel Marmoret, Jérémy E. Cohen, Frédéric Bimbot
The ability of deep neural networks to learn complex data relations and representations is established nowadays, but it generally relies on large sets of training data.
2 code implementations • 27 Oct 2021 • Axel Marmoret, Florian Voorwinden, Valentin Leplat, Jérémy E. Cohen, Frédéric Bimbot
Nonnegative Tucker decomposition (NTD), a tensor decomposition model, has received increased interest in the recent years because of its ability to blindly extract meaningful patterns, in particular in Music Information Retrieval.
1 code implementation • 17 Apr 2021 • Axel Marmoret, Jérémy E. Cohen, Nancy Bertin, Frédéric Bimbot
Recent work has proposed the use of tensor decomposition to model repetitions and to separate tracks in loop-based electronic music.
no code implementations • 10 May 2019 • Giuseppe Amato, Malte Behrmann, Frédéric Bimbot, Baptiste Caramiaux, Fabrizio Falchi, Ander Garcia, Joost Geurts, Jaume Gibert, Guillaume Gravier, Hadmut Holken, Hartmut Koenitz, Sylvain Lefebvre, Antoine Liutkus, Fabien Lotte, Andrew Perkis, Rafael Redondo, Enrico Turrin, Thierry Vieville, Emmanuel Vincent
Thanks to the Big Data revolution and increasing computing capacities, Artificial Intelligence (AI) has made an impressive revival over the past few years and is now omnipresent in both research and industry.