ACIDS

The Artificial Creative Intelligence and Data Science (ACIDS) group is part of the RepMus team at IRCAM laboratory and is hell-bent on trying to model musical creativity by developing innovative artificial intelligence models. The major goal of this team is to produce creative models that can be useful for humans to create inspiring art.

Projets

Project

RAVE

RAVE is an audio processing/generativity based on deep learning. RAVE (Realtime Audio Variational autoEncoder) is a learning framework for generating…

Research Team - ACIDS Ai Analysis Analysis of sound Audio
Project

RAVE VST

Include RAVE models in your DAW for realtime deep learning based processing.

Research Team - ACIDS Audio Unit neural Neural vocoder Plugin
Project

nn~

A max / Pd external for real-time AI audio processing.

Research Team - ACIDS Analysis neural Neural vocoder RAVE
Project

WaVAE

Realtime Variational Autoencoder built on top of libtorch and PureData

Research Team - ACIDS Ai Analysis neural Design et traitement sonores
Project

Neurorack

This project documents the Neurorack, which is a deep AI-based synthesizer based on the Jetson Nano development kit in a EuroRack format.

Research Team - ACIDS Eurorack Interfaces musicales neural Neural vocoder
Project

DDSP

Differentiable Digital Signal Processing. Implementation of the DDSP model using PyTorch. This implementation can be exported to a torchscript model,…

Research Team - ACIDS Ai Analysis neural Neural vocoder
Project

ACIDS-projects

Summary of all available projects with documentation and instructions

Research Team - ACIDS Analyse du son Deep learning neural Design et traitement sonores

Articles

Article

Tutoriel : RAVE AND NN~

Research Team - ACIDS Repmus team Tutorials Video

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