Search Results for author: Viet Anh Tran

Found 4 papers, 2 papers with code

FlowVocoder: A small Footprint Neural Vocoder based Normalizing flow for Speech Synthesis

no code implementations27 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.

Density Estimation Speech Synthesis

Many-to-Many Voice Conversion based Feature Disentanglement using Variational Autoencoder

no code implementations11 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.

Disentanglement Voice Conversion

Gravity-Inspired Graph Autoencoders for Directed Link Prediction

3 code implementations23 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.

Link Prediction

A Degeneracy Framework for Scalable Graph Autoencoders

1 code implementation23 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).

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