no code implementations • 27 Sep 2021 • Manh Luong, Viet Anh Tran
Recently, autoregressive neural vocoders have provided remarkable performance in generating high-fidelity speech and have been able to produce synthetic speech in real-time.
no code implementations • 11 Jul 2021 • Manh Luong, Viet Anh Tran
Voice conversion is a challenging task which transforms the voice characteristics of a source speaker to a target speaker without changing linguistic content.
3 code implementations • 23 May 2019 • Guillaume Salha, Stratis Limnios, Romain Hennequin, Viet Anh Tran, Michalis Vazirgiannis
Graph autoencoders (AE) and variational autoencoders (VAE) recently emerged as powerful node embedding methods.
1 code implementation • 23 Feb 2019 • Guillaume Salha, Romain Hennequin, Viet Anh Tran, Michalis Vazirgiannis
In this paper, we present a general framework to scale graph autoencoders (AE) and graph variational autoencoders (VAE).