acids-ircam/RAVE
🧠 AI Modelacids-ircam
Real-time audio variational autoencoder for high-quality sound generation.
RAVE (Realtime Audio Variational autoEncoder) is a deep learning model for audio processing that compresses and generates audio signals in real time. It uses a variational autoencoder architecture with a multi-scale spectrogram loss and adversarial training to produce high-fidelity audio. The model can be trained on any sound dataset and allows for latent space manipulation, interpolation, and style transfer. It runs efficiently on GPU and can operate with low latency, making it ideal for live music performance and interactive installations.
💡Highlights
- ├─Real-time audio generation
- ├─Variational autoencoder + adversarial training
- └─Low latency for live performance
🎯For
- ├─Audio researchers
- ├─Music producers
- └─AI artists