RAVE MODEL CHALLENGE
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Share your RAVE models !
RAVE (Realtime Audio Variational autoEncoder) is an algorithm designed for real-time, high-quality audio waveform synthesis using neural networks. It leverages a variational autoencoder (VAE) architecture, which compresses audio data into a compact latent representation, allowing efficient reconstruction of audio signals.
The aim of this challenge is to support the authors of the best models and to collectively establish a repertoire of RAVE models, enabling everyone to benefit from the richness and variety of approaches in the field of timbre/music transfer.
The challenge is hosted by the Dafne+ platform, which promotes content using NFTs.
A public vote awards three prizes to participants.
PRIZES :
- 1st award : 2000 € plus one year IRCAM Forum Premium Membership
- 2nd award : 1000 € plus on eyear IRCAM Forum Premium Membership
- 3rd award : 500 € plus one year IRCAM Forum Premium Membership
The awards ceremony will take place during the IRCAM Forum Workshops 2025 between March 26 and 28, 2025 at IRCAM, Paris.
Deadline submissions : January 31st, 2025