YALTAPy and YALTAPy_Online: Python toolboxes for the H∞-stability analysis of classical and fractional systems with commensurate delays

From Nash to Cournot--Nash equilibria via $\Gamma$-convergence

Well-posedness and asymptotic behavior of difference equations with a time-dependent delay and applications

On the characterization of equilibria of nonsmooth minimal-time mean field games with state constraints

Correction to: Second order local minimal-time mean field games

Frequency domain approach for the stability analysis of a fast hyperbolic PDE coupled with a slow ODE

Second order local minimal-time Mean Field Games

Stability and stabilization of linear switched systems in finite and infinite dimensions

Apprentissage par transfert en grande dimension : application aux images SAR polarimétriques

Apprentissage multitâche en grande dimension : classification basée sur les covariances

Large dimensional analysis of LS-SVM transfer learning: Application to POLSAR classification

Singing voice detection with deep recurrent neural networks

Autoregressive Moving Average Modeling of Late Reverberation in the Frequency Domain

Separating Time-Frequency Sources from Time-Domain Convolutive Mixtures Using Non-negative Matrix Factorization

MULTICHANNEL AUDIO SOURCE SEPARATION WITH PROBABILISTIC REVERBERATION MODELING

Multichannel audio source separation: variational inference of time-frequency sources from time-domain observations

Séparation de sources audio en milieu réverbérant : Factorisation en matrices non-négatives et représentation temporelle du mélange convolutif

Multichannel Audio Source Separation with Probabilistic Reverberation Priors

Semi-Blind Student's t Source Separation for Multichannel Audio Convolutive Mixtures

The CHiME-7 UDASE task: Unsupervised domain adaptation for conversational speech enhancement

Towards Improving Speech Emotion Recognition Using Synthetic Data Augmentation from Emotion Conversion

On Speech Sparsity for Computational Efficiency and Noise Reduction in Hearing Aids

Localization cues preservation in hearing aids by combining noise reduction and dynamic range compression

Étude sur l'inversion de StyleGAN dans un contexte de détection d'hypertrucages

A vector quantized masked autoencoder for speech emotion recognition

Débruitage de parole semi-supervisé par modélisation générative dans un espace de représentation discret des signaux audio

A priori probabiliste anéchoïque pour la séparation sous-déterminée de sources sonores en milieu réverbérant

Modèles de mélange pour la séparation multicanale de sources sonores en milieu réverbérant

Student's t Source and Mixing Models for Multichannel Audio Source Separation

Alpha-Stable Multichannel Audio Source Separation

Motion-DVAE: Unsupervised learning for fast human motion denoising

A vector quantized masked autoencoder for audiovisual speech emotion recognition

Notes on the use of variational autoencoders for speech and audio spectrogram modeling

Unsupervised speech enhancement with deep dynamical generative speech and noise models

VQ-HPS: Human Pose and Shape Estimation in a Vector-Quantized Latent Space

Semi-supervised multichannel speech enhancement with variational autoencoders and non-negative matrix factorization

A variance modeling framework based on variational autoencoders for speech enhancement

Audio-noise Power Spectral Density Estimation Using Long Short-term Memory

Speech Modeling with a Hierarchical Transformer Dynamical VAE

MEGA: Masked Generative Autoencoder for Human Mesh Recovery

Alpha-stable low-rank plus residual decomposition for speech enhancement

Audio-Visual Speech Enhancement Using Conditional Variational Auto-Encoders

The CHiME-7 UDASE task: Unsupervised domain adaptation for conversational speech enhancement

Unsupervised Speech Enhancement using Dynamical Variational Autoencoders

A Benchmark of Dynamical Variational Autoencoders applied to Speech Spectrogram Modeling

Learning and controlling the source-filter representation of speech with a variational autoencoder

Learning and controlling the source-filter representation of speech with a variational autoencoder

Les auto-encodeurs variationnels dynamiques et leur application à la modélisation de spectrogrammes de parole

A Multimodal Dynamical Variational Autoencoder for Audiovisual Speech Representation Learning

Objective and subjective evaluation of speech enhancement methods in the UDASE task of the 7th CHiME challenge