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