169 citations · 196 across the 13 of their papers we have counts for
4 papers · 1 filter
Is Self-Supervised Learning Enough to Fill in the Gap? A Study on Speech Inpainting
Ihab Asaad, Maxime Jacquelin, Olivier Perrotin +2
Speech inpainting consists in reconstructing corrupted or missing speech segments using surrounding context, a process that closely resembles the pretext tasks in Self-Supervised L…
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…
A Benchmark of Dynamical Variational Autoencoders applied to Speech Spectrogram Modeling
Xiaoyu Bie, Laurent Girin, Simon Leglaive +2
The Variational Autoencoder (VAE) is a powerful deep generative model that is now extensively used to represent high-dimensional complex data via a low-dimensional latent space lea…
Learning robust speech representation with an articulatory-regularized variational autoencoder
Marc-Antoine Georges, Laurent Girin, Jean-Luc Schwartz +1
It is increasingly considered that human speech perception and production both rely on articulatory representations. In this paper, we investigate whether this type of representati…