2 papers
cs.SD2022
Repeat after me: Self-supervised learning of acoustic-to-articulatory mapping by vocal imitation
Marc-Antoine Georges, Julien Diard, Laurent Girin +2
We propose a computational model of speech production combining a pre-trained neural articulatory synthesizer able to reproduce complex speech stimuli from a limited set of interpr…
cs.LG2020
Dynamical Variational Autoencoders: A Comprehensive Review
Laurent Girin, Simon Leglaive, Xiaoyu Bie +3
Variational autoencoders (VAEs) are powerful deep generative models widely used to represent high-dimensional complex data through a low-dimensional latent space learned in an unsu…