Phase reconstruction of spectrograms with linear unwrapping: Application to audio signal restoration. - Paul Magron; Roland Badeau; Bertrand David 002 (EUSIPCO, 2015)

Phase recovery in NMF for audio source separation: An insightful benchmark. - Paul Magron; Roland Badeau; Bertrand David 002 (ICASSP, 2015)

Phase reconstruction of spectrograms based on a model of repeated audio events. - Paul Magron; Roland Badeau; Bertrand David 002 (WASPAA, 2015)

Complex NMF under phase constraints based on signal modeling: Application to audio source separation. - Paul Magron; Roland Badeau; Bertrand David 002 (ICASSP, 2016)

Common fate model for unison source separation. - Fabian-Robert Stöter; Antoine Liutkus; Roland Badeau; Bernd Edler; Paul Magron (ICASSP, 2016)

Phase recovery by unwrapping: applications to music signal processing. - Paul Magron; Roland Badeau; Bertrand David 002 (CoRR, 2016)

Separation of nonnegative alpha-stable sources. - Paul Magron; Roland Badeau; Antoine Liutkus (CoRR, 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 (2016)

Phase-dependent anisotropic Gaussian model for audio source separation. - Paul Magron; Roland Badeau; Bertrand David 002 (ICASSP, 2017)

Lévy NMF for robust nonnegative source separation. - Paul Magron; Roland Badeau; Antoine Liutkus (WASPAA, 2017)

Consistent anisotropic Wiener filtering for audio source separation. - Paul Magron; Jonathan Le Roux; Tuomas Virtanen (WASPAA, 2017)

Bayesian Anisotropic Gaussian Model for Audio Source Separation. - Paul Magron; Tuomas Virtanen (ICASSP, 2018)

Reducing Interference with Phase Recovery in DNN-based Monaural Singing Voice Separation. - Paul Magron; Konstantinos Drossos; Stylianos Ioannis Mimilakis; Tuomas Virtanen (INTERSPEECH, 2018)

Expectation-Maximization Algorithms for Itakura-Saito Nonnegative Matrix Factorization. - Paul Magron; Tuomas Virtanen (INTERSPEECH, 2018)

Harmonic-Percussive Source Separation with Deep Neural Networks and Phase Recovery. - Konstantinos Drossos; Paul Magron; Stylianos Ioannis Mimilakis; Tuomas Virtanen (IWAENC, 2018)

Towards Complex Nonnegative Matrix Factorization with the Beta-Divergence. - Paul Magron; Tuomas Virtanen (IWAENC, 2018)

On Modeling the STFT Phase of Audio Signals with the Von Mises Distribution. - Paul Magron; Tuomas Virtanen (IWAENC, 2018)

Model-Based STFT Phase Recovery for Audio Source Separation. - Paul Magron; Roland Badeau; Bertrand David 002 (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Language Modelling for Sound Event Detection with Teacher Forcing and Scheduled Sampling. - Konstantinos Drossos; Shayan Gharib; Paul Magron; Tuomas Virtanen (DCASE, 2019)

Unsupervised Adversarial Domain Adaptation Based on The Wasserstein Distance For Acoustic Scene Classification. - Konstantinos Drossos; Paul Magron; Tuomas Virtanen (WASPAA, 2019)

Complex ISNMF: A Phase-Aware Model for Monaural Audio Source Separation. - Paul Magron; Tuomas Virtanen (IEEE ACM Trans. Audio Speech Lang. Process., 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 (Zenodo, 2019)

Phase retrieval with Bregman divergences: Application to audio signal recovery. - Pierre-Hugo Vial; Paul Magron; Thomas Oberlin; Cédric Févotte (CoRR, 2020)

Online Spectrogram Inversion for Low-Latency Audio Source Separation. - Paul Magron; Tuomas Virtanen (IEEE Signal Process. Lett., 2020)

Leveraging the Structure of Musical Preference in Content-Aware Music Recommendation. - Paul Magron; Cédric Févotte (ICASSP, 2021)

Phase Recovery with Bregman Divergences for Audio Source Separation. - Paul Magron; Pierre-Hugo Vial; Thomas Oberlin; Cédric Févotte (ICASSP, 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)

A Sparsity-promoting Dictionary Model for Variational Autoencoders. - Mostafa Sadeghi; Paul Magron (INTERSPEECH, 2022)

Neural content-aware collaborative filtering for cold-start music recommendation. - Paul Magron; Cédric Févotte (Data Min. Knowl. Discov., 2022)

A Majorization-Minimization Algorithm for Nonnegative Binary Matrix Factorization. - Paul Magron; Cédric Févotte (IEEE Signal Process. Lett., 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)

Signal Inpainting from Fourier Magnitudes. - Louis Bahrman; Marina Krémé; Paul Magron; Antoine Deleforge (EUSIPCO, 2023)

Spectrogram Inversion for Audio Source Separation via Consistency, Mixing, and Magnitude Constraints. - Paul Magron; Tuomas Virtanen (EUSIPCO, 2023)

Algorithms for audio inpainting based on probabilistic nonnegative matrix factorization. - Ondrej Mokrý; Paul Magron; Thomas Oberlin; Cédric Févotte (Signal Process., 2023)

A Phoneme-Scale Assessment of Multichannel Speech Enhancement Algorithms. - Nasser-Eddine Monir; Paul Magron; Romain Serizel (CoRR, 2024)

Evaluating Multichannel Speech Enhancement Algorithms at the Phoneme Scale Across Genders. - Nasser-Eddine Monir; Paul Magron; Romain Serizel (CoRR, 2025)

Frequency-Weighted Training Losses for Phoneme-Level DNN-based Speech Enhancement. - Nasser-Eddine Monir; Paul Magron; Romain Serizel (CoRR, 2025)