59 citations · 147 across the 14 of their papers we have counts for
3 papers · 1 filter
Unsupervised speech enhancement with deep dynamical generative speech and noise models
Xiaoyu Lin, Simon Leglaive, Laurent Girin +1
This work builds on a previous work on unsupervised speech enhancement using a dynamical variational autoencoder (DVAE) as the clean speech model and non-negative matrix factorizat…
What the Future Brings: Investigating the Impact of Lookahead for Incremental Neural TTS
Brooke Stephenson, Laurent Besacier, Laurent Girin +1
In incremental text to speech synthesis (iTTS), the synthesizer produces an audio output before it has access to the entire input sentence. In this paper, we study the behavior of…
Autoencoders for music sound modeling: a comparison of linear, shallow, deep, recurrent and variational models
Fanny Roche, Thomas Hueber, Samuel Limier +1
This study investigates the use of non-linear unsupervised dimensionality reduction techniques to compress a music dataset into a low-dimensional representation which can be used i…