Recording of a RAVE model trained on a selection of Martsman tracks. Real time latent space manipulation via nn~ in Pure Data using only the decoder. 

RAVE is a realtime variational autoencoder for fast and high-quality neural audio synthesis by Antoine Caillon and Philippe Esling.
https://arxiv.org/abs/2111.05011
https://github.com/acids-ircam/RAVE

RAVE /// Rec 20230426 decoder var complex (norm) --- model martsparse V1 200K

Recording of a RAVE-Latent Diffusion model trained on a selection of Martsman tracks using seed interpolation and a latent length of 8192.

RAVE-Latent Diffusion is a denoising diffusion model designed to generate new RAVE latent codes with a large context window, written by  Moisés Horta Valenzuela / 𝔥𝔢𝔵𝔬𝔯𝔠𝔦𝔰𝔪𝔬𝔰
github.com/moiseshorta/RAVE-Latent-Diffusion

RAVE is a realtime variational autoencoder for fast and high-quality neural audio synthesis by Antoine Caillon and Philippe Esling.
arxiv.org/abs/2111.05011
github.com/acids-ircam/RAVE

RAVE Latent Diffusion /// seed 91827536 Slerp --- model martssel V1 400k Cap96

Martin Heinze is a sound artist, composer and electronic musician working in the field of experimental electronic dance music and algorithmic composition.

Label = Weevil Neighbourhood @weevilorchestra

New tracks tagged #autoencoder