Big data Variational inference Magnetoencephalography MEG Classification Blind source separation Artificial Intelligence Audio Kernel smoothing Natural language processing Apprentissage automatique Fillers Optimal transport Optimization Audio signal processing Dimensionality reduction Polyphonic music Semiparametric estimation Data augmentation Spectral analysis EEG Clustering Anomaly detection Optimisation Music information retrieval Aggregation Dynamical systems Mixture models Machine learning Ranking Handwriting recognition Kernel methods Handwriting Reverberation Wiener filtering Boosting Representation learning Informed source separation Multivariate extremes Feature learning Audio source separation Deep Learning Estimation Explainability Extremal index Consistency Stochastic approximation Hill estimator Structured prediction Time-frequency analysis EM algorithm Auditory attention decoding Empirical processes Artificial intelligence Détection d'anomalies Bootstrap NTF Character recognition Phase reconstruction Training Inverse problem Affective computing Electroencephalography EEG Statistical learning Apprentissage statistique Feature extraction Statistical learning theory Self-supervised learning Deep learning Long range dependence Source separation Acoustic scene classification Coordinate descent Nonnegative Matrix Factorization ROC optimization Sinusoidal modeling Bipartite ranking Online learning Wavelet analysis NMF ESPRIT Alpha-divergence Room impulse response Speech enhancement Convex optimization ROC curve Functional data analysis Survey sampling Signal processing Hermite processes Apprentissage profond Task analysis Room acoustics Supervised learning Nonnegative matrix factorization Nonnegative matrix factorisation Machine Learning Nummelin splitting technique Feature selection Empirical risk minimization Non-negative matrix factorization