Ai
Projets
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Project
RAVE
RAVE is an audio processing/generativity based on deep learning. RAVE (Realtime Audio Variational autoEncoder) is a learning framework for generating…
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Project
WaVAE
Realtime Variational Autoencoder built on top of libtorch and PureData
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Project
OM-DYCI2
DYCI2 objects for learning-based generative processes in the OM/OM# visual programming environment
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Project
Flow Synthetizer
Sound synthesizers are pervasive in music and they now even entirely define new music genres. However, their complexity and sets of parameters render…
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Project
FCN-F0
Code for running monophonic pitch (F0) estimation using the fully-convolutional neural network models described in the publication : L. Ardaillon …
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Project
DDSP
Differentiable Digital Signal Processing. Implementation of the DDSP model using PyTorch. This implementation can be exported to a torchscript model,…
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Project
Autoencoder for Max
This repository contains a compiled external and examples for loading models trained for the Autocoder, an implementation of a variational autoencode…
Articles
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Article
Tutorial: Training RAVE models on custom data
Learn to train RAVE models on custom data.
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Article
Tutorial: Neural Synthesis in a DAW with RAVE
Learn to perform neural audio synthesis inside your favorite digital audio workstation with RAVE.
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Article
Tutorial: Neural Synthesis in Max 8 with RAVE
Learn to perform neural audio synthesis inside Max 8 using nn~.
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Article
Somax 2 Tutorials
This page gathers video tutorials on Somax2.
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Article
Somax 2.6 et les outils de co-création REACH - Marco Fiorini, Mikhail Malt
Présentation de la dernière version de Somax 2.6 et des outils de co-création du projet REACH en cours de développement, lors des Ateliers du Forum I…
Collections
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Collection
RAVE
RAVE is an audio processing/generativity based on deep learning. RAVE (Realtime Audio Variational autoEncoder) is a learning framework for generating…