Paul Magron

According to our database, Paul Magron authored at least 35 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Phoneme-Scale Assessment of Multichannel Speech Enhancement Algorithms.

Nasser-Eddine Monir, Paul Magron, Romain Serizel

CoRR, 2024

2023

Algorithms for audio inpainting based on probabilistic nonnegative matrix factorization.

Ondrej Mokrý, Paul Magron, Thomas Oberlin, Cédric Févotte

Signal Process., May, 2023

Spectrogram Inversion for Audio Source Separation via Consistency, Mixing, and Magnitude Constraints.

Paul Magron, Tuomas Virtanen

Proceedings of the 31st European Signal Processing Conference, 2023

Signal Inpainting from Fourier Magnitudes.

Louis Bahrman, Marina Krémé, Paul Magron, Antoine Deleforge

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Learning the Proximity Operator in Unfolded ADMM for Phase Retrieval.

Pierre-Hugo Vial, Paul Magron, Thomas Oberlin, Cédric Févotte

IEEE Signal Process. Lett., 2022

A Majorization-Minimization Algorithm for Nonnegative Binary Matrix Factorization.

Paul Magron, Cédric Févotte

IEEE Signal Process. Lett., 2022

Neural content-aware collaborative filtering for cold-start music recommendation.

Paul Magron, Cédric Févotte

Data Min. Knowl. Discov., 2022

A Sparsity-promoting Dictionary Model for Variational Autoencoders.

Mostafa Sadeghi, Paul Magron

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

Phase Retrieval With Bregman Divergences and Application to Audio Signal Recovery.

Pierre-Hugo Vial, Paul Magron, Thomas Oberlin, Cédric Févotte

IEEE J. Sel. Top. Signal Process., 2021

Phase Recovery with Bregman Divergences for Audio Source Separation.

Paul Magron, Pierre-Hugo Vial, Thomas Oberlin, Cédric Févotte

Proceedings of the IEEE International Conference on Acoustics, 2021

Leveraging the Structure of Musical Preference in Content-Aware Music Recommendation.

Paul Magron, Cédric Févotte

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Online Spectrogram Inversion for Low-Latency Audio Source Separation.

Paul Magron, Tuomas Virtanen

IEEE Signal Process. Lett., 2020

Phase retrieval with Bregman divergences: Application to audio signal recovery.

Pierre-Hugo Vial, Paul Magron, Thomas Oberlin, Cédric Févotte

CoRR, 2020

2019

Code of the method presented in the paper: Drossos et al, "Language Modelling for Sound Event Detection with Teacher Forcing and Scheduled Sampling," in proceedings of DCASE 2019.

Konstantinos Drossos, Shayan Gharib, Paul Magron, Tuomas Virtanen

Dataset, November, 2019

Complex ISNMF: A Phase-Aware Model for Monaural Audio Source Separation.

Paul Magron, Tuomas Virtanen

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Unsupervised Adversarial Domain Adaptation Based on The Wasserstein Distance For Acoustic Scene Classification.

Konstantinos Drossos, Paul Magron, Tuomas Virtanen

Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

Language Modelling for Sound Event Detection with Teacher Forcing and Scheduled Sampling.

Konstantinos Drossos, Shayan Gharib, Paul Magron, Tuomas Virtanen

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

2018

Model-Based STFT Phase Recovery for Audio Source Separation.

Paul Magron, Roland Badeau, Bertrand David

IEEE ACM Trans. Audio Speech Lang. Process., 2018

On Modeling the STFT Phase of Audio Signals with the Von Mises Distribution.

Paul Magron, Tuomas Virtanen

Proceedings of the 16th International Workshop on Acoustic Signal Enhancement, 2018

Towards Complex Nonnegative Matrix Factorization with the Beta-Divergence.

Paul Magron, Tuomas Virtanen

Proceedings of the 16th International Workshop on Acoustic Signal Enhancement, 2018

Harmonic-Percussive Source Separation with Deep Neural Networks and Phase Recovery.

Konstantinos Drossos, Paul Magron, Stylianos Ioannis Mimilakis, Tuomas Virtanen

Proceedings of the 16th International Workshop on Acoustic Signal Enhancement, 2018

Expectation-Maximization Algorithms for Itakura-Saito Nonnegative Matrix Factorization.

Paul Magron, Tuomas Virtanen

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Reducing Interference with Phase Recovery in DNN-based Monaural Singing Voice Separation.

Paul Magron, Konstantinos Drossos, Stylianos Ioannis Mimilakis, Tuomas Virtanen

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Bayesian Anisotropic Gaussian Model for Audio Source Separation.

Paul Magron, Tuomas Virtanen

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Consistent anisotropic Wiener filtering for audio source separation.

Paul Magron, Jonathan Le Roux, Tuomas Virtanen

Proceedings of the 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2017

Lévy NMF for robust nonnegative source separation.

Paul Magron, Roland Badeau, Antoine Liutkus

Proceedings of the 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2017

Phase-dependent anisotropic Gaussian model for audio source separation.

Paul Magron, Roland Badeau, Bertrand David

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Reconstruction de phase par modèles de signaux : application à la séparation de sources audio. (Phase recovery based on signal modeling: application to audio source separation).

Paul Magron

PhD thesis, 2016

Separation of nonnegative alpha-stable sources.

Paul Magron, Roland Badeau, Antoine Liutkus

CoRR, 2016

Phase recovery by unwrapping: applications to music signal processing.

Paul Magron, Roland Badeau, Bertrand David

CoRR, 2016

Common fate model for unison source separation.

Fabian-Robert Stöter, Antoine Liutkus, Roland Badeau, Bernd Edler, Paul Magron

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Complex NMF under phase constraints based on signal modeling: Application to audio source separation.

Paul Magron, Roland Badeau, Bertrand David

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Phase reconstruction of spectrograms based on a model of repeated audio events.

Paul Magron, Roland Badeau, Bertrand David

Proceedings of the 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015

Phase recovery in NMF for audio source separation: An insightful benchmark.

Paul Magron, Roland Badeau, Bertrand David

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Phase reconstruction of spectrograms with linear unwrapping: Application to audio signal restoration.

Paul Magron, Roland Badeau, Bertrand David

Proceedings of the 23rd European Signal Processing Conference, 2015