Scalable source localization with multichannel α-stable distributions. - Mathieu Fontaine 002; Charles Vanwynsberghe; Antoine Liutkus; Roland Badeau (EUSIPCO, 2017)

Sketching for Nearfield Acoustic Imaging of Heavy-Tailed Sources. - Mathieu Fontaine 002; Charles Vanwynsberghe; Antoine Liutkus; Roland Badeau (LVA/ICA, 2017)

Explaining the parameterized wiener filter with alpha-stable processes. - Mathieu Fontaine 002; Antoine Liutkus; Laurent Girin; Roland Badeau (WASPAA, 2017)

Multichannel Audio Modeling with Elliptically Stable Tensor Decomposition. - Mathieu Fontaine 002; Fabian-Robert Stöter; Antoine Liutkus; Umut Simsekli; Romain Serizel; Roland Badeau (LVA/ICA, 2018)

Cauchy Multichannel Speech Enhancement with a Deep Speech Prior. - Mathieu Fontaine 002; Aditya Arie Nugraha; Roland Badeau; Kazuyoshi Yoshii; Antoine Liutkus (EUSIPCO, 2019)

Processus alpha-stables pour le traitement du signal. (Alpha-stable processes for signal processing). - Mathieu Fontaine 002 (2019)

Semi-supervised Multichannel Speech Separation Based on a Phone- and Speaker-Aware Deep Generative Model of Speech Spectrograms. - Yicheng Du; Kouhei Sekiguchi; Yoshiaki Bando; Aditya Arie Nugraha; Mathieu Fontaine 002; Kazuyoshi Yoshii; Tatsuya Kawahara (EUSIPCO, 2020)

Fast Multichannel Correlated Tensor Factorization for Blind Source Separation. - Kazuyoshi Yoshii; Kouhei Sekiguchi; Yoshiaki Bando; Mathieu Fontaine 002; Aditya Arie Nugraha (EUSIPCO, 2020)

Unsupervised Robust Speech Enhancement Based on Alpha-Stable Fast Multichannel Nonnegative Matrix Factorization. - Mathieu Fontaine 002; Kouhei Sekiguchi; Aditya Arie Nugraha; Kazuyoshi Yoshii (INTERSPEECH, 2020)

Separation of alpha-stable random vectors. - Mathieu Fontaine 002; Roland Badeau; Antoine Liutkus (Signal Process., 2020)

Flow-Based Independent Vector Analysis for Blind Source Separation. - Aditya Arie Nugraha; Kouhei Sekiguchi; Mathieu Fontaine 002; Yoshiaki Bando; Kazuyoshi Yoshii (IEEE Signal Process. Lett., 2020)

Autoregressive Fast Multichannel Nonnegative Matrix Factorization For Joint Blind Source Separation And Dereverberation. - Kouhei Sekiguchi; Yoshiaki Bando; Aditya Arie Nugraha; Mathieu Fontaine 002; Kazuyoshi Yoshii (ICASSP, 2021)

Alpha-Stable Autoregressive Fast Multichannel Nonnegative Matrix Factorization for Joint Speech Enhancement and Dereverberation. - Mathieu Fontaine 002; Kouhei Sekiguchi; Aditya Arie Nugraha; Yoshiaki Bando; Kazuyoshi Yoshii (Interspeech, 2021)

Neural Full-Rank Spatial Covariance Analysis for Blind Source Separation. - Yoshiaki Bando; Kouhei Sekiguchi; Yoshiki Masuyama; Aditya Arie Nugraha; Mathieu Fontaine 002; Kazuyoshi Yoshii (IEEE Signal Process. Lett., 2021)

Elliptically Contoured Alpha-Stable Representation for MUSIC-Based Sound Source Localization. - Mathieu Fontaine 002; Diego Di Carlo; Kouhei Sekiguchi; Aditya Arie Nugraha; Yoshiaki Bando; Kazuyoshi Yoshii (EUSIPCO, 2022)

Flow-Based Fast Multichannel Nonnegative Matrix Factorization for Blind Source Separation. - Aditya Arie Nugraha; Kouhei Sekiguchi; Mathieu Fontaine 002; Yoshiaki Bando; Kazuyoshi Yoshii (ICASSP, 2022)

Direction-Aware Joint Adaptation of Neural Speech Enhancement and Recognition in Real Multiparty Conversational Environments. - Yicheng Du; Aditya Arie Nugraha; Kouhei Sekiguchi; Yoshiaki Bando; Mathieu Fontaine 002; Kazuyoshi Yoshii (INTERSPEECH, 2022)

Direction-Aware Adaptive Online Neural Speech Enhancement with an Augmented Reality Headset in Real Noisy Conversational Environments. - Kouhei Sekiguchi; Aditya Arie Nugraha; Yicheng Du; Yoshiaki Bando; Mathieu Fontaine 002; Kazuyoshi Yoshii (IROS, 2022)

DNN-free Low-Latency Adaptive Speech Enhancement Based on Frame-Online Beamforming Powered by Block-Online Fastmnmf. - Aditya Arie Nugraha; Kouhei Sekiguchi; Mathieu Fontaine 002; Yoshiaki Bando; Kazuyoshi Yoshii (IWAENC, 2022)

Generalized Fast Multichannel Nonnegative Matrix Factorization Based on Gaussian Scale Mixtures for Blind Source Separation. - Mathieu Fontaine 002; Kouhei Sekiguchi; Aditya Arie Nugraha; Yoshiaki Bando; Kazuyoshi Yoshii (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Autoregressive Moving Average Jointly-Diagonalizable Spatial Covariance Analysis for Joint Source Separation and Dereverberation. - Kouhei Sekiguchi; Yoshiaki Bando; Aditya Arie Nugraha; Mathieu Fontaine 002; Kazuyoshi Yoshii; Tatsuya Kawahara (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis. - Victor Letzelter; Mathieu Fontaine 002; Mickaël Chen; Patrick Pérez; Slim Essid; Gaël Richard (NeurIPS, 2023)

Time-Domain Audio Source Separation Based on Gaussian Processes with Deep Kernel Learning. - Aditya Arie Nugraha; Diego Di Carlo; Yoshiaki Bando; Mathieu Fontaine 002; Kazuyoshi Yoshii (WASPAA, 2023)

Neural Steerer: Novel Steering Vector Synthesis with a Causal Neural Field over Frequency and Source Positions. - Diego Di Carlo; Aditya Arie Nugraha; Mathieu Fontaine 002; Yoshiaki Bando; Kazuyoshi Yoshii (CoRR, 2023)

Run-Time Adaptation of Neural Beamforming for Robust Speech Dereverberation and Denoising. - Yoto Fujita; Aditya Arie Nugraha; Diego Di Carlo; Yoshiaki Bando; Mathieu Fontaine 002; Kazuyoshi Yoshii (APSIPA, 2024)

Multifrequency Highly Oscillating Aperiodic Amplitude Estimation for Nonlinear Chirp Signal. - Anton Emelchenkov; Mathieu Fontaine 002; Yves Grenier; Hervé Mahé; François Roueff (EUSIPCO, 2024)

SpecDiff-GAN: A Spectrally-Shaped Noise Diffusion GAN for Speech and Music Synthesis. - Teysir Baoueb; Haocheng Liu; Mathieu Fontaine 002; Jonathan Le Roux; Gaël Richard (ICASSP, 2024)

Neural Steerer: Novel Steering Vector Synthesis with a Causal Neural Field over Frequency and Direction. - Diego Di Carlo; Aditya Arie Nugraha; Mathieu Fontaine 002; Yoshiaki Bando; Kazuyoshi Yoshii (ICASSP Workshops, 2024)

Online Speaker Diarization of Meetings Guided by Speech Separation. - Elio Gruttadauria; Mathieu Fontaine 002; Slim Essid (ICASSP, 2024)

GLA-GRAD: A Griffin-Lim Extended Waveform Generation Diffusion Model. - Haocheng Liu; Teysir Baoueb; Mathieu Fontaine 002; Jonathan Le Roux; Gaël Richard (ICASSP, 2024)

A Lightweight Dual-Stage Framework for Personalized Speech Enhancement Based on Deepfilternet2. - Thomas Serre; Mathieu Fontaine 002; Éric Benhaim; Geoffroy Dutour; Slim Essid (ICASSP Workshops, 2024)

Winner-takes-all learners are geometry-aware conditional density estimators. - Victor Letzelter; David Perera; Cédric Rommel; Mathieu Fontaine 002; Slim Essid; Gaël Richard; Patrick Pérez (ICML, 2024)

Speech dereverberation constrained on room impulse response characteristics. - Louis Bahrman; Mathieu Fontaine 002; Jonathan Le Roux; Gaël Richard (INTERSPEECH, 2024)

RIR-in-a-Box: Estimating Room Acoustics from 3D Mesh Data through Shoebox Approximation. - Liam Kelley; Diego Di Carlo; Aditya Arie Nugraha; Mathieu Fontaine 002; Yoshiaki Bando; Kazuyoshi Yoshii (INTERSPEECH, 2024)

A Hybrid Model for Weakly-Supervised Speech Dereverberation. - Louis Bahrman; Mathieu Fontaine 002; Gaël Richard (ICASSP, 2025)

O-EENC-SD: Efficient Online End-to-End Neural Clustering for Speaker Diarization. - Elio Gruttadauria; Mathieu Fontaine 002; Jonathan Le Roux; Slim Essid (ICASSP, 2025)

Contrastive Knowledge Distillation for Embedding Refinement in Personalized Speech Enhancement. - Thomas Serre; Mathieu Fontaine 002; Éric Benhaim; Slim Essid (ICASSP, 2025)

SHAMaNS: Sound Localization with Hybrid Alpha-Stable Spatial Measure and Neural Steerer. - Diego Di Carlo; Mathieu Fontaine 002; Aditya Arie Nugraha; Yoshiaki Bando; Kazuyoshi Yoshii (CoRR, 2025)

Modèle physique variationnel pour l'estimation de réponses impulsionnelles de salles. - Louis Lalay; Mathieu Fontaine 002; Roland Badeau (CoRR, 2025)

Multiple Choice Learning of Low Rank Adapters for Language Modeling. - Victor Letzelter; Hugo Malard; Mathieu Fontaine 002; Gaël Richard; Slim Essid; Andrei Bursuc; Patrick Pérez (CoRR, 2025)

U-DREAM: Unsupervised Dereverberation guided by a Reverberation Model. - Louis Bahrman; Mathieu Fontaine 002; Gaël Richard (CoRR, 2025)