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Found 4 papers, 2 papers with code
FlowVocoder: A small Footprint Neural Vocoder based Normalizing flow for Speech Synthesis
Recently, autoregressive neural vocoders have provided remarkable performance in generating high-fidelity speech and have been able to produce synthetic speech in real-time.
Many-to-Many Voice Conversion based Feature Disentanglement using Variational Autoencoder
Voice conversion is a challenging task which transforms the voice characteristics of a source speaker to a target speaker without changing linguistic content.
Gravity-Inspired Graph Autoencoders for Directed Link Prediction
Graph autoencoders (AE) and variational autoencoders (VAE) recently emerged as powerful node embedding methods.
A Degeneracy Framework for Scalable Graph Autoencoders
In this paper, we present a general framework to scale graph autoencoders (AE) and graph variational autoencoders (VAE).
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