Publications

You can also find my publications on my Google Scholar profile.

Preprints

N.-E. Monir, P. Magron, R. Serizel, A Phoneme-Scale Assessment of Multichannel Speech Enhancement Algorithms, submitted in a journal. [Paper] [Code]

Journals

O. Mokrý, P. Magron, T. Oberlin, C. Févotte, Algorithms for audio inpainting based on probabilistic nonnegative matrix factorization, Signal Processing, Vol. 206, May 2023. [Paper] [Code]

P. Magron, C. Févotte, Neural content-aware collaborative filtering for cold-start music recommendation, Data mining and knowledge discovery, Vol. 36, no. 5, pp. 1971-2005, September 2022. [Paper] [Code]

P.-H. Vial, P. Magron, T. Oberlin, C. Févotte, Learning the Proximity Operator in Unfolded ADMM for Phase Retrieval, IEEE Signal Processing Letters, Vol. 29, pp. 1619-1623, July 2022. [Paper] [Code] Presented at GdR ISIS 2022 [Poster]

P. Magron, C. Févotte, A majorization-minimization algorithm for nonnegative binary matrix factorization, IEEE Signal Processing Letters, Vol. 29, pp. 1526-1530, June 2022. [Paper] [Code]

P.-H. Vial, P. Magron, T. Oberlin, C. Févotte, Phase retrieval with Bregman divergences and application to audio signal recovery, IEEE Journal of Selected Topics in Signal Processing, Vol. 15, no. 1, pp. 51-64, January 2021. [Paper] [Sounds] [Code]

P. Magron, T. Virtanen, Online Spectrogram Inversion for Low-Latency Audio Source Separation, IEEE Signal Processing Letters, Vol. 27, pp. 306-310, 2020. [Paper] [Sounds] [Code] Presented at ICASSP 2021 [Slides] [Poster]

P. Magron, T. Virtanen, Complex ISNMF: a phase-aware model for monaural audio source separation, IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 27, no. 1, pp. 20-31, January 2019. [Paper] [Sounds] [Code]

P. Magron, R. Badeau, B. David, Model-based STFT phase recovery for audio source separation, IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 26, no. 6, pp. 1095-1105, June 2018. [Paper] [Sounds] [Code]

International Conferences

P. Magron, T. Virtanen, Spectrogram Inversion for Audio Source Separation via Consistency, Mixing, and Magnitude Constraints, Proc. of the European Signal Processing Conference (EUSIPCO), September 2023. [Paper] [Code] [Slides] [Supplementary]

L. Bahrman, M. Krémé, P. Magron, A. Deleforge, Signal Inpainting from Fourier Magnitudes, Proc. of the European Signal Processing Conference (EUSIPCO), September 2023. [Paper] [Code] [Slides] [Supplementary]

M. Sadeghi, P. Magron, A Sparsity-promoting Dictionary Model for Variational Autoencoders, Proc. of Interspeech, September 2022. [Paper] [Code] [Poster]

P. Magron, P.-H. Vial, T. Oberlin, C. Févotte, Phase recovery with Bregman divergences for audio source separation, Proc. of the IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), June 2021. [Paper] [Code] [Slides] [Poster]

P. Magron, C. Févotte, Leveraging the structure of musical preference in content-aware music recommendation, Proc. of the IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), June 2021. [Paper] [Code] [Slides] [Poster]

P.-H. Vial, P. Magron, T. Oberlin, C. Févotte, Phase retrieval with Bregman divergences: application to audio signal recovery, Proc. of the international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques (iTWIST), December 2020. [Paper] [Slides]

K. Drossos, S. Gharib, P. Magron, T. Virtanen, Language modelling for sound event detection with teacher forcing and scheduled sampling, Proc. of the Detection and Classification of Acoustic Scenes and Events Workshop (DCASE), October 2019. [Paper] [Poster] [Code]

K. Drossos, P. Magron, T. Virtanen, Unsupervised adversarial domain adaptation based on the Wasserstein distance for acoustic scene classification, Proc. of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), October 2019. [Paper] [Poster] [Code]

K. Drossos, P. Magron, S. Mimilakis, T. Virtanen, Harmonic-percussive source separation with deep neural networks and phase recovery, Proc. of the International Workshop on Acoustic Signal Enhancement (IWAENC), September 2018. [Paper] [Poster] [Sounds] [Code]

P. Magron, T. Virtanen, Towards complex nonnegative matrix factorization with the beta-divergence, Proc. of the International Workshop on Acoustic Signal Enhancement (IWAENC), September 2018. Best paper award [Paper] [Slides] [Code]

P. Magron, T. Virtanen, On modeling the STFT phase of audio signals with the von Mises distribution, Proc. of the International Workshop on Acoustic Signal Enhancement (IWAENC), September 2018. [Paper] [Poster] [Code]

P. Magron, T. Virtanen, Expectation-maximization algorithms for Itakura-Saito nonnegative matrix factorization, Proc. of Interspeech, September 2018. [Paper] [Poster] [Code]

P. Magron, K. Drossos, S. Mimilakis, T. Virtanen, Reducing interference with phase recovery in DNN-based monaural singing voice separation, Proc. of Interspeech, September 2018. [Paper] [Poster] [Sounds] [Code]

P. Magron, T. Virtanen, Bayesian anisotropic Gaussian model for audio source separation, Proc. of the IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), April 2018. [Paper] [Slides] [Code] [Sounds]

P. Magron, J. Le Roux, T. Virtanen, Consistent anisotropic Wiener filtering for audio source separation, Proc. of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), October 2017. [Paper] [Slides] [Code]

P. Magron, R. Badeau, A. Liutkus, Lévy NMF for robust nonnegative source separation, Proc. of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), October 2017. [Paper] [Slides] [Code] [Sounds]

P. Magron, R. Badeau, B. David, Phase-dependent anisotropic Gaussian model for audio source separation, Proc. of the IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), March 2017. [Paper] [Poster] [Code] [Sounds]

P. Magron, R. Badeau, B. David, Complex NMF under phase constraints based on signal modeling: application to audio source separation, Proc. of the IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), March 2016. [Paper] [Slides] [Code and sounds]

F.-R. Stoter, A. Liutkus, R. Badeau, B. Edler, P. Magron, Common fate models for unison source separation, Proc. of the IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), March 2016. [Paper] [Sounds]

P. Magron, R. Badeau, B. David, Phase reconstruction of spectrograms based on a model of repeated audio events, Proc. of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), October 2015. [Paper] [Poster] [Code and sounds]

P. Magron, R. Badeau, B. David, Phase reconstruction of spectrograms with linear unwrapping: application to audio signal restoration, Proc. of the European Signal Processing Conference (EUSIPCO), August 2015. [Paper] [Poster] [Code and sounds]

P. Magron, R. Badeau, B. David, Phase recovery in NMF for audio sourceseparation: an insightful benchmark, Proc. of the IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), April 2015 [Paper] [Slides] [Code and sounds]

P. de la Cuadra, P. Magron, R. Auvray, F. Meneses, B. Fabre, Sound synthesis of Siku and closed pipe flutes, Proc. of the International Symposium on Musical Acoustics (ISMA), July 2014. [Paper] [Poster] [Code]

National Conference (in French)

P. Magron, R. Badeau, A. Liutkus, Lévy NMF : un modèle robuste de séparation de sources non-négatives, Actes du XXVIe Colloque GRETSI, September 2017. [Paper] [Slides] [Code] [Sounds]

Misc

P. Magron, Reproducing and improving band-split RNN for music separation, 2024. [Code] [Weigths]

Technical reports

P. Magron, R. Badeau, A. Liutkus, Generalized Wiener filtering for positive alpha-stable random variables, Télécom ParisTech technical report, June 2016. [Paper]

P. Magron, R. Badeau, B. David, An iterative algorithm for recovering the phase of complex components from their mixture, Télécom ParisTech technical report, June 2016. [Paper]

P. Magron, R. Badeau, B. David, Phase reconstruction of spectrograms with linear unwrapping: application to audio signal restoration, Télécom ParisTech technical report, June 2015. [Paper]

Thesis (in French)

P. Magron, Reconstruction de phase par modèles de signaux : application à la séparation de sources audio, Ph.D. Thesis, Télécom ParisTech, December 2016. [Thesis] [Slides]

P. Magron, Modélisation et simulation temporelle de flûtes de pan Antaras, MSc Thesis, Université Pierre et Marie Curie, September 2013. [Thesis]