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Mathieu Fontaine
Mathieu Fontaine
Associate Professor, Télécom ParisTech
Adresse e-mail validée de telecom-paris.fr - Page d'accueil
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Neural full-rank spatial covariance analysis for blind source separation
Y Bando, K Sekiguchi, Y Masuyama, AA Nugraha, M Fontaine, K Yoshii
IEEE Signal Processing Letters 28, 1670-1674, 2021
282021
Flow-based independent vector analysis for blind source separation
AA Nugraha, K Sekiguchi, M Fontaine, Y Bando, K Yoshii
IEEE Signal Processing Letters 27, 2173-2177, 2020
162020
Autoregressive fast multichannel nonnegative matrix factorization for joint blind source separation and dereverberation
K Sekiguchi, Y Bando, AA Nugraha, M Fontaine, K Yoshii
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
142021
Explaining the parameterized Wiener filter with alpha-stable processes
M Fontaine, A Liutkus, L Girin, R Badeau
2017 IEEE Workshop on Applications of Signal Processing to Audio and …, 2017
122017
Scalable source localization with multichannel α-stable distributions
M Fontaine, C Vanwynsberghe, A Liutkus, R Badeau
2017 25th European Signal Processing Conference (EUSIPCO), 11-15, 2017
82017
Sketching for nearfield acoustic imaging of heavy-tailed sources
M Fontaine, C Vanwynsberghe, A Liutkus, R Badeau
International Conference on Latent Variable Analysis and Signal Separation …, 2017
82017
Semi-supervised multichannel speech separation based on a phone-and speaker-aware deep generative model of speech spectrograms
Y Du, K Sekiguchi, Y Bando, AA Nugraha, M Fontaine, K Yoshii, ...
2020 28th European Signal Processing Conference (EUSIPCO), 870-874, 2021
72021
Cauchy multichannel speech enhancement with a deep speech prior
M Fontaine, AA Nugraha, R Badeau, K Yoshii, A Liutkus
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
62019
Multichannel audio modeling with elliptically stable tensor decomposition
M Fontaine, FR Stöter, A Liutkus, U Şimşekli, R Serizel, R Badeau
Latent Variable Analysis and Signal Separation: 14th International …, 2018
62018
Direction-aware adaptive online neural speech enhancement with an augmented reality headset in real noisy conversational environments
K Sekiguchi, AA Nugraha, Y Du, Y Bando, M Fontaine, K Yoshii
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
52022
Autoregressive moving average jointly-diagonalizable spatial covariance analysis for joint source separation and dereverberation
K Sekiguchi, Y Bando, AA Nugraha, M Fontaine, K Yoshii, T Kawahara
IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 2368-2382, 2022
52022
Unsupervised Robust Speech Enhancement Based on Alpha-Stable Fast Multichannel Nonnegative Matrix Factorization.
M Fontaine, K Sekiguchi, AA Nugraha, K Yoshii
INTERSPEECH, 4541-4545, 2020
52020
Alpha-Stable Autoregressive Fast Multichannel Nonnegative Matrix Factorization for Joint Speech Enhancement and Dereverberation.
M Fontaine, K Sekiguchi, AA Nugraha, Y Bando, K Yoshii
Interspeech, 661-665, 2021
42021
Separation of alpha-stable random vectors
M Fontaine, R Badeau, A Liutkus
Signal Processing 170, 107465, 2020
32020
Flow-based fast multichannel nonnegative matrix factorization for blind source separation
AA Nugraha, K Sekiguchi, M Fontaine, Y Bando, K Yoshii
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
22022
Generalized Fast Multichannel Nonnegative Matrix Factorization Based on Gaussian Scale Mixtures for Blind Source Separation
M Fontaine, K Sekiguchi, AA Nugraha, Y Bando, K Yoshii
IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 1734-1748, 2022
22022
Fast multichannel correlated tensor factorization for blind source separation
K Yoshii, K Sekiguchi, Y Bando, M Fontaine, AA Nugraha
2020 28th European Signal Processing Conference (EUSIPCO), 306-310, 2021
22021
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis
V Letzelter, M Fontaine, M Chen, P Pérez, S Essid, G Richard
Advances in neural information processing systems 36, 2024
12024
Neural steerer: Novel steering vector synthesis with a causal neural field over frequency and source positions
D Di Carlo, AA Nugraha, M Fontaine, K Yoshii
arXiv preprint arXiv:2305.04447, 2023
12023
Winner-takes-all learners are geometry-aware conditional density estimators
V Letzelter, D Perera, C Rommel, M Fontaine, S Essid, G Richard, ...
International Conference on Machine Learning, 2024
2024
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