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2020 – today
- 2024
[i22]Nasser-Eddine Monir, Paul Magron, Romain Serizel:
A Phoneme-Scale Assessment of Multichannel Speech Enhancement Algorithms. CoRR abs/2401.13548 (2024)- 2023
- [j8]Ondrej Mokrý
, Paul Magron, Thomas Oberlin, Cédric Févotte:
Algorithms for audio inpainting based on probabilistic nonnegative matrix factorization. Signal Process. 206: 108905 (2023) - [c21]Paul Magron, Tuomas Virtanen:
Spectrogram Inversion for Audio Source Separation via Consistency, Mixing, and Magnitude Constraints. EUSIPCO 2023: 36-40 - [c20]Louis Bahrman, Marina Krémé, Paul Magron, Antoine Deleforge:
Signal Inpainting from Fourier Magnitudes. EUSIPCO 2023: 116-120 - [i21]Paul Magron, Tuomas Virtanen:
Spectrogram Inversion for Audio Source Separation via Consistency, Mixing, and Magnitude Constraints. CoRR abs/2303.01864 (2023) - 2022
- [j7]Paul Magron, Cédric Févotte:
Neural content-aware collaborative filtering for cold-start music recommendation. Data Min. Knowl. Discov. 36(5): 1971-2005 (2022) - [j6]Paul Magron, Cédric Févotte:
A Majorization-Minimization Algorithm for Nonnegative Binary Matrix Factorization. IEEE Signal Process. Lett. 29: 1526-1530 (2022) - [j5]Pierre-Hugo Vial, Paul Magron, Thomas Oberlin, Cédric Févotte:
Learning the Proximity Operator in Unfolded ADMM for Phase Retrieval. IEEE Signal Process. Lett. 29: 1619-1623 (2022) - [c19]Mostafa Sadeghi, Paul Magron:
A Sparsity-promoting Dictionary Model for Variational Autoencoders. INTERSPEECH 2022: 366-370 - [i20]Mostafa Sadeghi, Paul Magron:
A Sparsity-promoting Dictionary Model for Variational Autoencoders. CoRR abs/2203.15758 (2022) - [i19]Pierre-Hugo Vial, Paul Magron, Thomas Oberlin, Cédric Févotte:
Learning the Proximity Operator in Unfolded ADMM for Phase Retrieval. CoRR abs/2204.01360 (2022) - [i18]Paul Magron, Cédric Févotte:
A majorization-minimization algorithm for nonnegative binary matrix factorization. CoRR abs/2204.09741 (2022) - [i17]Ondrej Mokrý, Paul Magron, Thomas Oberlin, Cédric Févotte:
Algorithms for audio inpainting based on probabilistic nonnegative matrix factorization. CoRR abs/2206.13768 (2022) - 2021
- [j4]Pierre-Hugo Vial, Paul Magron, Thomas Oberlin, Cédric Févotte:
Phase Retrieval With Bregman Divergences and Application to Audio Signal Recovery. IEEE J. Sel. Top. Signal Process. 15(1): 51-64 (2021) - [c18]Paul Magron, Pierre-Hugo Vial, Thomas Oberlin, Cédric Févotte:
Phase Recovery with Bregman Divergences for Audio Source Separation. ICASSP 2021: 516-520 - [c17]Paul Magron, Cédric Févotte:
Leveraging the Structure of Musical Preference in Content-Aware Music Recommendation. ICASSP 2021: 581-585 - [i16]Paul Magron, Cédric Févotte:
Neural content-aware collaborative filtering for cold-start music recommendation. CoRR abs/2102.12369 (2021) - 2020
- [j3]Paul Magron, Tuomas Virtanen:
Online Spectrogram Inversion for Low-Latency Audio Source Separation. IEEE Signal Process. Lett. 27: 306-310 (2020) - [i15]Pierre-Hugo Vial, Paul Magron, Thomas Oberlin, Cédric Févotte:
Phase retrieval with Bregman divergences and application to audio signal recovery. CoRR abs/2010.00392 (2020) - [i14]Paul Magron, Pierre-Hugo Vial, Thomas Oberlin, Cédric Févotte:
Phase recovery with Bregman divergences for audio source separation. CoRR abs/2010.10255 (2020) - [i13]Paul Magron, Cédric Févotte:
Leveraging the structure of musical preference in content-aware music recommendation. CoRR abs/2010.10276 (2020) - [i12]Pierre-Hugo Vial, Paul Magron, Thomas Oberlin, Cédric Févotte:
Phase retrieval with Bregman divergences: Application to audio signal recovery. CoRR abs/2011.12818 (2020)
2010 – 2019
- 2019
- [j2]Paul Magron, Tuomas Virtanen:
Complex ISNMF: A Phase-Aware Model for Monaural Audio Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. 27(1): 20-31 (2019) - [c16]Konstantinos Drossos, Shayan Gharib, Paul Magron, Tuomas Virtanen:
Language Modelling for Sound Event Detection with Teacher Forcing and Scheduled Sampling. DCASE 2019: 59-63 - [c15]Konstantinos Drossos, Paul Magron, Tuomas Virtanen:
Unsupervised Adversarial Domain Adaptation Based on The Wasserstein Distance For Acoustic Scene Classification. WASPAA 2019: 259-263 - [d1]Konstantinos Drossos, Shayan Gharib, Paul Magron, Tuomas Virtanen:
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. Zenodo, 2019
- [i11]Konstantinos Drossos, Paul Magron, Tuomas Virtanen:
Unsupervised Adversarial Domain Adaptation Based On The Wasserstein Distance For Acoustic Scene Classification. CoRR abs/1904.10678 (2019) - [i10]Konstantinos Drossos, Shayan Gharib, Paul Magron, Tuomas Virtanen:
Language Modelling for Sound Event Detection with Teacher Forcing and Scheduled Sampling. CoRR abs/1907.08506 (2019) - [i9]Paul Magron, Tuomas Virtanen:
Online Spectrogram Inversion for Low-Latency Audio Source Separation. CoRR abs/1911.03128 (2019) - 2018
- [j1]Paul Magron, Roland Badeau, Bertrand David:
Model-Based STFT Phase Recovery for Audio Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. 26(6): 1091-1101 (2018) - [c14]Paul Magron, Tuomas Virtanen:
Bayesian Anisotropic Gaussian Model for Audio Source Separation. ICASSP 2018: 166-170 - [c13]Paul Magron, Konstantinos Drossos, Stylianos Ioannis Mimilakis, Tuomas Virtanen:
Reducing Interference with Phase Recovery in DNN-based Monaural Singing Voice Separation. INTERSPEECH 2018: 332-336 - [c12]Paul Magron, Tuomas Virtanen:
Expectation-Maximization Algorithms for Itakura-Saito Nonnegative Matrix Factorization. INTERSPEECH 2018: 856-860 - [c11]Paul Magron, Tuomas Virtanen:
Towards Complex Nonnegative Matrix Factorization with the Beta-Divergence. IWAENC 2018: 156-160 - [c10]Konstantinos Drossos, Paul Magron, Stylianos Ioannis Mimilakis, Tuomas Virtanen:
Harmonic-Percussive Source Separation with Deep Neural Networks and Phase Recovery. IWAENC 2018: 421-425 - [c9]Paul Magron, Tuomas Virtanen:
On Modeling the STFT Phase of Audio Signals with the Von Mises Distribution. IWAENC 2018: 550-554 - [i8]Paul Magron, Tuomas Virtanen:
Complex ISNMF: a Phase-Aware Model for Monaural Audio Source Separation. CoRR abs/1802.03156 (2018) - [i7]Konstantinos Drossos, Paul Magron, Stylianos Ioannis Mimilakis, Tuomas Virtanen:
Harmonic-Percussive Source Separation with Deep Neural Networks and Phase Recovery. CoRR abs/1807.11298 (2018) - 2017
- [c8]Paul Magron, Roland Badeau, Bertrand David:
Phase-dependent anisotropic Gaussian model for audio source separation. ICASSP 2017: 531-535 - [c7]Paul Magron, Roland Badeau, Antoine Liutkus:
Lévy NMF for robust nonnegative source separation. WASPAA 2017: 259-263 - [c6]Paul Magron, Jonathan Le Roux, Tuomas Virtanen:
Consistent anisotropic Wiener filtering for audio source separation. WASPAA 2017: 269-273 - 2016
- [b1]Paul Magron:
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). Télécom ParisTech, France, 2016 - [c5]Paul Magron, Roland Badeau, Bertrand David:
Complex NMF under phase constraints based on signal modeling: Application to audio source separation. ICASSP 2016: 46-50 - [c4]Fabian-Robert Stöter, Antoine Liutkus, Roland Badeau, Bernd Edler, Paul Magron:
Common fate model for unison source separation. ICASSP 2016: 126-130 - [i6]Paul Magron, Roland Badeau, Bertrand David:
Complex NMF under phase constraints based on signal modeling: application to audio source separation. CoRR abs/1605.07466 (2016) - [i5]Paul Magron, Roland Badeau, Bertrand David:
Phase reconstruction of spectrograms with linear unwrapping: application to audio signal restoration. CoRR abs/1605.07467 (2016) - [i4]Paul Magron, Roland Badeau, Bertrand David:
Phase reconstruction of spectrograms based on a model of repeated audio events. CoRR abs/1605.07468 (2016) - [i3]Paul Magron, Roland Badeau, Bertrand David:
Phase recovery in NMF for audio source separation: an insightful benchmark. CoRR abs/1605.07469 (2016) - [i2]Paul Magron, Roland Badeau, Antoine Liutkus:
Separation of nonnegative alpha-stable sources. CoRR abs/1608.01844 (2016) - [i1]Paul Magron, Roland Badeau, Bertrand David:
Phase recovery by unwrapping: applications to music signal processing. CoRR abs/1608.01953 (2016) - 2015
- [c3]Paul Magron, Roland Badeau, Bertrand David:
Phase reconstruction of spectrograms with linear unwrapping: Application to audio signal restoration. EUSIPCO 2015: 1-5 - [c2]Paul Magron, Roland Badeau, Bertrand David:
Phase recovery in NMF for audio source separation: An insightful benchmark. ICASSP 2015: 81-85 - [c1]Paul Magron, Roland Badeau, Bertrand David:
Phase reconstruction of spectrograms based on a model of repeated audio events. WASPAA 2015: 1-5
Coauthor Index
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