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