This paper presents a generative approach to speech enhancement based on a recurrent
variational autoencoder (RVAE). The deep generative speech model is trained using clean …

Dynamical variational autoencoders (DVAEs) are a class of deep generative models with
latent variables, dedicated to model time series of high-dimensional data. DVAEs can be …

This paper introduces a closed-form expression for the Kullback–Leibler divergence (KLD)
between two central multivariate Cauchy distributions (MCDs) which have been recently …

This paper describes heavy-tailed extensions of a state-of-the-art versatile blind source
separation method called fast multichannel nonnegative matrix factorization (FastMNMF) …

This paper proposes α-stable autoregressive fast multichannel nonnegative matrix
factorization (α-AR-FastMNMF), a robust joint blind speech enhancement and …

This paper describes multichannel speech enhancement based on a probabilistic model of
complex source spectrograms for improving the intelligibility of speech corrupted by …