21 citations · 24 across the 4 of their papers we have counts for
4 papers
A Statistically Principled and Computationally Efficient Approach to Speech Enhancement using Variational Autoencoders
Manuel Pariente, Antoine Deleforge, Emmanuel Vincent
Recent studies have explored the use of deep generative models of speech spectra based of variational autoencoders (VAEs), combined with unsupervised noise models, to perform speec…
AI in the media and creative industries
Giuseppe Amato, Malte Behrmann, Frédéric Bimbot +16
Thanks to the Big Data revolution and increasing computing capacities, Artificial Intelligence (AI) has made an impressive revival over the past few years and is now omnipresent in…
Relative Transfer Function Inverse Regression from Low Dimensional Manifold
Ziteng Wang, Emmanuel Vincent, Yonghong Yan
In room acoustic environments, the Relative Transfer Functions (RTFs) are controlled by few underlying modes of variability. Accordingly, they are confined to a low-dimensional man…
Rank-1 Constrained Multichannel Wiener Filter for Speech Recognition in Noisy Environments
Ziteng Wang, Emmanuel Vincent, Romain Serizel +1
Multichannel linear filters, such as the Multichannel Wiener Filter (MWF) and the Generalized Eigenvalue (GEV) beamformer are popular signal processing techniques which can improve…