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