Eric Moulines
Eric Moulines
Professeur, Ecole Polytechnique, Membre de l'Académie des Sciences
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TitleCited byYear
Springer Series in Statistics
P Bickel, P Diggle, S Fienberg, U Gather
A blind source separation technique using second-order statistics
A Belouchrani, K Abed-Meraim, JF Cardoso, E Moulines
IEEE Transactions on signal processing 45 (2), 434-444, 1997
Subspace methods for the blind identification of multichannel FIR filters
E Moulines, P Duhamel, JF Cardoso, S Mayrargue
IEEE Transactions on signal processing 43 (2), 516-525, 1995
Pitch-synchronous waveform processing techniques for text-to-speech synthesis using diphones
E Moulines, F Charpentier
Speech communication 9 (5-6), 453-467, 1990
An overview of existing methods and recent advances in sequential Monte Carlo
O Cappé, SJ Godsill, E Moulines
Proceedings of the IEEE 95 (5), 899-924, 2007
Continuous probabilistic transform for voice conversion
Y Stylianou, O Cappé, E Moulines
IEEE Transactions on speech and audio processing 6 (2), 131-142, 1998
Convergence of a stochastic approximation version of the EM algorithm
B Delyon, M Lavielle, E Moulines
The Annals of Statistics 27 (1), 94-128, 1999
Voice transformation using PSOLA technique
H Valbret, E Moulines, JP Tubach
Speech communication 11 (2-3), 175-187, 1992
Non-parametric techniques for pitch-scale and time-scale modification of speech
E Moulines, J Laroche
Speech communication 16 (2), 175-205, 1995
Prediction error method for second-order blind identification
K Abed-Meraim, E Moulines, P Loubaton
IEEE Transactions on Signal Processing 45 (3), 694-705, 1997
A subspace algorithm for certain blind identification problems
K Abed-Meraim, P Loubaton, E Moulines
IEEE transactions on information theory 43 (2), 499-511, 1997
On‐line expectation–maximization algorithm for latent data models
O Cappé, E Moulines
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2009
Non-asymptotic analysis of stochastic approximation algorithms for machine learning
E Moulines, FR Bach
Advances in Neural Information Processing Systems, 451-459, 2011
On the ergodicity properties of some adaptive MCMC algorithms
C Andrieu, É Moulines
The Annals of Applied Probability 16 (3), 1462-1505, 2006
Least‐squares estimation of an unknown number of shifts in a time series
M Lavielle, E Moulines
Journal of time series analysis 21 (1), 33-59, 2000
Maximum likelihood for blind separation and deconvolution of noisy signals using mixture models
E Moulines, JF Cardoso, E Gassiat
1997 IEEE International Conference on Acoustics, Speech, and Signal …, 1997
Asymptotic properties of the maximum likelihood estimator in autoregressive models with Markov regime
R Douc, E Moulines, T Rydén
The Annals of statistics 32 (5), 2254-2304, 2004
On upper-confidence bound policies for switching bandit problems
A Garivier, E Moulines
International Conference on Algorithmic Learning Theory, 174-188, 2011
HNS: Speech modification based on a harmonic+ noise model
J Laroche, Y Stylianou, E Moulines
1993 IEEE International Conference on Acoustics, Speech, and Signal …, 1993
Stability of stochastic approximation under verifiable conditions
C Andrieu, É Moulines, P Priouret
SIAM Journal on control and optimization 44 (1), 283-312, 2005
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