246 citations · 616 across the 11 of their papers we have counts for
12 papers
Relative Positional Encoding for Transformers with Linear Complexity
Antoine Liutkus, Ondřej Cífka, Shih-Lun Wu +3
Recent advances in Transformer models allow for unprecedented sequence lengths, due to linear space and time complexity. In the meantime, relative positional encoding (RPE) was pro…
AI in the media and creative industries
Giuseppe Amato, Malte Behrmann, Frédéric Bimbot +16
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…
Speech enhancement with variational autoencoders and alpha-stable distributions
Simon Leglaive, Umut Simsekli, Antoine Liutkus +2
This paper focuses on single-channel semi-supervised speech enhancement. We learn a speaker-independent deep generative speech model using the framework of variational autoencoders…
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions
Antoine Liutkus, Umut Şimşekli, Szymon Majewski +2
By building upon the recent theory that established the connection between implicit generative modeling (IGM) and optimal transport, in this study, we propose a novel parameter-fre…
An Overview of Lead and Accompaniment Separation in Music
Zafar Rafii, Antoine Liutkus, Fabian-Robert Stöter +3
Popular music is often composed of an accompaniment and a lead component, the latter typically consisting of vocals. Filtering such mixtures to extract one or both components has m…
The 2018 Signal Separation Evaluation Campaign
Fabian-Robert Stöter, Antoine Liutkus, Nobutaka Ito
This paper reports the organization and results for the 2018 community-based Signal Separation Evaluation Campaign (SiSEC 2018). This year's edition was focused on audio and pursue…
Blind Source Separation Using Mixtures of Alpha-Stable Distributions
Nicolas Keriven, Antoine Deleforge, Antoine Liutkus
We propose a new blind source separation algorithm based on mixtures of alpha-stable distributions. Complex symmetric alpha-stable distributions have been recently showed to better…
Lévy NMF for robust nonnegative source separation
Paul Magron, Roland Badeau, Antoine Liutkus
Source separation, which consists in decomposing data into meaningful structured components, is an active research topic in many areas, such as music and image signal processing, a…
Reference-less measurement of the transmission matrix of a highly scattering material using a DMD and phase retrieval techniques
Angelique Dremeau, Antoine Liutkus, David Martina +5
This paper investigates experimental means of measuring the transmission matrix (TM) of a highly scattering medium, with the simplest optical setup. Spatial light modulation is per…
Listening to features
Manuel Moussallam, Antoine Liutkus, Laurent Daudet
This work explores nonparametric methods which aim at synthesizing audio from low-dimensionnal acoustic features typically used in MIR frameworks. Several issues prevent this task…
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14)
L. Jacques, C. De Vleeschouwer, Y. Boursier +64
The implicit objective of the biennial "international - Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST) is to foster collaboration between interna…
Imaging With Nature: Compressive Imaging Using a Multiply Scattering Medium
Antoine Liutkus, David Martina, Sébastien Popoff +6
The recent theory of compressive sensing leverages upon the structure of signals to acquire them with much fewer measurements than was previously thought necessary, and certainly w…