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ORCIDMathieu Fontaine 0002
Person information
- affiliation: Télécom Paris, France
Other persons with the same name
- Mathieu Fontaine 0001
![[0000-0003-4112-7262]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-4112-7262")
— University of Caen Normandy, France
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2020 – today
- 2024
[c24]Anton Emelchenkov, Mathieu Fontaine, Yves Grenier, Hervé Mahé, François Roueff:
Multifrequency Highly Oscillating Aperiodic Amplitude Estimation for Nonlinear Chirp Signal. EUSIPCO 2024: 2507-2511- [c23]Diego Di Carlo, Aditya Arie Nugraha, Mathieu Fontaine, Yoshiaki Bando, Kazuyoshi Yoshii:
Neural Steerer: Novel Steering Vector Synthesis with a Causal Neural Field over Frequency and Direction. ICASSP Workshops 2024: 740-744 - [c22]Thomas Serre, Mathieu Fontaine, Éric Benhaim, Geoffroy Dutour, Slim Essid:
A Lightweight Dual-Stage Framework for Personalized Speech Enhancement Based on Deepfilternet2. ICASSP Workshops 2024: 780-784 - [c21]Teysir Baoueb, Haocheng Liu, Mathieu Fontaine, Jonathan Le Roux, Gaël Richard:
SpecDiff-GAN: A Spectrally-Shaped Noise Diffusion GAN for Speech and Music Synthesis. ICASSP 2024: 986-990 - [c20]Elio Gruttadauria, Mathieu Fontaine, Slim Essid:
Online Speaker Diarization of Meetings Guided by Speech Separation. ICASSP 2024: 11356-11360 - [c19]Haocheng Liu, Teysir Baoueb, Mathieu Fontaine, Jonathan Le Roux, Gaël Richard:
GLA-GRAD: A Griffin-Lim Extended Waveform Generation Diffusion Model. ICASSP 2024: 11611-11615 - [c18]Victor Letzelter, David Perera, Cédric Rommel, Mathieu Fontaine, Slim Essid, Gaël Richard, Patrick Pérez:
Winner-takes-all learners are geometry-aware conditional density estimators. ICML 2024 - [i13]Elio Gruttadauria, Mathieu Fontaine, Slim Essid:
Online speaker diarization of meetings guided by speech separation. CoRR abs/2402.00067 (2024) - [i12]Teysir Baoueb, Haocheng Liu, Mathieu Fontaine, Jonathan Le Roux, Gaël Richard:
SpecDiff-GAN: A Spectrally-Shaped Noise Diffusion GAN for Speech and Music Synthesis. CoRR abs/2402.01753 (2024) - [i11]Haocheng Liu, Teysir Baoueb, Mathieu Fontaine, Jonathan Le Roux, Gaël Richard:
GLA-Grad: A Griffin-Lim Extended Waveform Generation Diffusion Model. CoRR abs/2402.15516 (2024) - [i10]Thomas Serre, Mathieu Fontaine, Éric Benhaim, Geoffroy Dutour, Slim Essid:
A lightweight dual-stage framework for personalized speech enhancement based on DeepFilterNet2. CoRR abs/2404.08022 (2024) - [i9]Victor Letzelter, David Perera, Cédric Rommel, Mathieu Fontaine, Slim Essid, Gaël Richard, Patrick Pérez:
Winner-takes-all learners are geometry-aware conditional density estimators. CoRR abs/2406.04706 (2024) - [i8]Louis Bahrman, Mathieu Fontaine, Jonathan Le Roux, Gaël Richard:
Speech dereverberation constrained on room impulse response characteristics. CoRR abs/2407.08657 (2024) - [i7]Yoto Fujita, Aditya Arie Nugraha, Diego Di Carlo, Yoshiaki Bando, Mathieu Fontaine, Kazuyoshi Yoshii:
Run-Time Adaptation of Neural Beamforming for Robust Speech Dereverberation and Denoising. CoRR abs/2410.22805 (2024) - 2023
- [c17]Victor Letzelter, Mathieu Fontaine, Mickaël Chen, Patrick Pérez, Slim Essid, Gaël Richard:
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis. NeurIPS 2023 - [c16]Aditya Arie Nugraha, Diego Di Carlo, Yoshiaki Bando, Mathieu Fontaine, Kazuyoshi Yoshii:
Time-Domain Audio Source Separation Based on Gaussian Processes with Deep Kernel Learning. WASPAA 2023: 1-5 - [i6]Diego Di Carlo, Aditya Arie Nugraha, Mathieu Fontaine, Yoshiaki Bando, Kazuyoshi Yoshii:
Neural Steerer: Novel Steering Vector Synthesis with a Causal Neural Field over Frequency and Source Positions. CoRR abs/2305.04447 (2023) - [i5]Victor Letzelter, Mathieu Fontaine, Mickaël Chen, Patrick Pérez, Slim Essid, Gaël Richard:
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis. CoRR abs/2311.01052 (2023) - 2022
- [j5]Mathieu Fontaine, Kouhei Sekiguchi, Aditya Arie Nugraha, Yoshiaki Bando, Kazuyoshi Yoshii:
Generalized Fast Multichannel Nonnegative Matrix Factorization Based on Gaussian Scale Mixtures for Blind Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1734-1748 (2022) - [j4]Kouhei Sekiguchi, Yoshiaki Bando, Aditya Arie Nugraha, Mathieu Fontaine, Kazuyoshi Yoshii, Tatsuya Kawahara:
Autoregressive Moving Average Jointly-Diagonalizable Spatial Covariance Analysis for Joint Source Separation and Dereverberation. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2368-2382 (2022) - [c15]Mathieu Fontaine, Diego Di Carlo, Kouhei Sekiguchi, Aditya Arie Nugraha, Yoshiaki Bando, Kazuyoshi Yoshii:
Elliptically Contoured Alpha-Stable Representation for MUSIC-Based Sound Source Localization. EUSIPCO 2022: 26-30 - [c14]Aditya Arie Nugraha, Kouhei Sekiguchi, Mathieu Fontaine, Yoshiaki Bando, Kazuyoshi Yoshii:
Flow-Based Fast Multichannel Nonnegative Matrix Factorization for Blind Source Separation. ICASSP 2022: 501-505 - [c13]Yicheng Du, Aditya Arie Nugraha, Kouhei Sekiguchi, Yoshiaki Bando, Mathieu Fontaine, Kazuyoshi Yoshii:
Direction-Aware Joint Adaptation of Neural Speech Enhancement and Recognition in Real Multiparty Conversational Environments. INTERSPEECH 2022: 2918-2922 - [c12]Kouhei Sekiguchi, Aditya Arie Nugraha, Yicheng Du, Yoshiaki Bando, Mathieu Fontaine, Kazuyoshi Yoshii:
Direction-Aware Adaptive Online Neural Speech Enhancement with an Augmented Reality Headset in Real Noisy Conversational Environments. IROS 2022: 9266-9273 - [c11]Aditya Arie Nugraha, Kouhei Sekiguchi, Mathieu Fontaine, Yoshiaki Bando, Kazuyoshi Yoshii:
DNN-free Low-Latency Adaptive Speech Enhancement Based on Frame-Online Beamforming Powered by Block-Online Fastmnmf. IWAENC 2022: 1-5 - [i4]Mathieu Fontaine, Kouhei Sekiguchi, Aditya Arie Nugraha, Yoshiaki Bando, Kazuyoshi Yoshii:
Generalized Fast Multichannel Nonnegative Matrix Factorization Based on Gaussian Scale Mixtures for Blind Source Separation. CoRR abs/2205.05330 (2022) - [i3]Yicheng Du, Aditya Arie Nugraha, Kouhei Sekiguchi, Yoshiaki Bando, Mathieu Fontaine, Kazuyoshi Yoshii:
Direction-Aware Joint Adaptation of Neural Speech Enhancement and Recognition in Real Multiparty Conversational Environments. CoRR abs/2207.07273 (2022) - [i2]Kouhei Sekiguchi, Aditya Arie Nugraha, Yicheng Du, Yoshiaki Bando, Mathieu Fontaine, Kazuyoshi Yoshii:
Direction-Aware Adaptive Online Neural Speech Enhancement with an Augmented Reality Headset in Real Noisy Conversational Environments. CoRR abs/2207.07296 (2022) - [i1]Aditya Arie Nugraha, Kouhei Sekiguchi, Mathieu Fontaine, Yoshiaki Bando, Kazuyoshi Yoshii:
DNN-Free Low-Latency Adaptive Speech Enhancement Based on Frame-Online Beamforming Powered by Block-Online FastMNMF. CoRR abs/2207.10934 (2022) - 2021
- [j3]Yoshiaki Bando, Kouhei Sekiguchi, Yoshiki Masuyama, Aditya Arie Nugraha, Mathieu Fontaine, Kazuyoshi Yoshii:
Neural Full-Rank Spatial Covariance Analysis for Blind Source Separation. IEEE Signal Process. Lett. 28: 1670-1674 (2021) - [c10]Kouhei Sekiguchi, Yoshiaki Bando, Aditya Arie Nugraha, Mathieu Fontaine, Kazuyoshi Yoshii:
Autoregressive Fast Multichannel Nonnegative Matrix Factorization For Joint Blind Source Separation And Dereverberation. ICASSP 2021: 511-515 - [c9]Mathieu Fontaine, Kouhei Sekiguchi, Aditya Arie Nugraha, Yoshiaki Bando, Kazuyoshi Yoshii:
Alpha-Stable Autoregressive Fast Multichannel Nonnegative Matrix Factorization for Joint Speech Enhancement and Dereverberation. Interspeech 2021: 661-665 - 2020
- [j2]Mathieu Fontaine, Roland Badeau, Antoine Liutkus:
Separation of alpha-stable random vectors. Signal Process. 170: 107465 (2020) - [j1]Aditya Arie Nugraha, Kouhei Sekiguchi, Mathieu Fontaine, Yoshiaki Bando, Kazuyoshi Yoshii:
Flow-Based Independent Vector Analysis for Blind Source Separation. IEEE Signal Process. Lett. 27: 2173-2177 (2020) - [c8]Kazuyoshi Yoshii, Kouhei Sekiguchi, Yoshiaki Bando, Mathieu Fontaine, Aditya Arie Nugraha:
Fast Multichannel Correlated Tensor Factorization for Blind Source Separation. EUSIPCO 2020: 306-310 - [c7]Yicheng Du, Kouhei Sekiguchi, Yoshiaki Bando, Aditya Arie Nugraha, Mathieu Fontaine, Kazuyoshi Yoshii, Tatsuya Kawahara:
Semi-supervised Multichannel Speech Separation Based on a Phone- and Speaker-Aware Deep Generative Model of Speech Spectrograms. EUSIPCO 2020: 870-874 - [c6]Mathieu Fontaine, Kouhei Sekiguchi, Aditya Arie Nugraha, Kazuyoshi Yoshii:
Unsupervised Robust Speech Enhancement Based on Alpha-Stable Fast Multichannel Nonnegative Matrix Factorization. INTERSPEECH 2020: 4541-4545
2010 – 2019
- 2019
- [b1]Mathieu Fontaine:
Processus alpha-stables pour le traitement du signal. (Alpha-stable processes for signal processing). Télécom Paris, France, 2019 - [c5]Mathieu Fontaine, Aditya Arie Nugraha, Roland Badeau, Kazuyoshi Yoshii, Antoine Liutkus:
Cauchy Multichannel Speech Enhancement with a Deep Speech Prior. EUSIPCO 2019: 1-5 - 2018
- [c4]Mathieu Fontaine, Fabian-Robert Stöter, Antoine Liutkus, Umut Simsekli, Romain Serizel, Roland Badeau:
Multichannel Audio Modeling with Elliptically Stable Tensor Decomposition. LVA/ICA 2018: 13-23 - 2017
- [c3]Mathieu Fontaine, Charles Vanwynsberghe, Antoine Liutkus, Roland Badeau:
Scalable source localization with multichannel α-stable distributions. EUSIPCO 2017: 11-15 - [c2]Mathieu Fontaine, Charles Vanwynsberghe, Antoine Liutkus, Roland Badeau:
Sketching for Nearfield Acoustic Imaging of Heavy-Tailed Sources. LVA/ICA 2017: 80-88 - [c1]Mathieu Fontaine, Antoine Liutkus, Laurent Girin, Roland Badeau:
Explaining the parameterized wiener filter with alpha-stable processes. WASPAA 2017: 51-55
Coauthor Index
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last updated on 2024-12-01 01:13 CET by the dblp team
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