Official implementation of RAVE: A variational autoencoder for fast and high-quality neural audio synthesis (article link) by Antoine Caillon and Philippe Esling. If you use RAVE as a part of a music ...

This paper proposes a novel solution using an autoencoder based architecture for real-time noise cancellation. Autoencoders, a type of deep neural network, are well-suited for learning efficient ...

Therefore, a good denoising pipeline is necessary. This article proposes a comparison between three different AutoEncoder variants: the Variational AutoEncoder, the Augmented AutoEncoder, and a plain ...

They provide real-time prediction of quality variables and then guide production ... This paper innovatively proposes a temporal–spatial pyramid variational autoencoder (TS-PVAE) model for the ...