IRCAM Tutorials / RAVE - Training a model

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RAVE is an audio processing/generativity based on deep learning. RAVE (Realtime Audio Variational autoEncoder) is a learning framework for generating a neural network model from audio data. RAVE allowing both fast and high-quality audio waveform synthesis (20x real-time at 48 kHz sampling rate on standard CPU). In Max and Pd, it is accompanied by its nn~ decoder, which enables these models to be used in real time for various applications, audio generativity/timbre transformation/transfer.

00:00:00 Introduction
00:00:29: Requirements
00:00:53 Setting up the server
00:02:32 Data requirements and preprocessing
00:04:52 Launching training process
00:08:44 Monitoring the training
00:11:33 Resuming a checkpoint
00:12:06 Exporting the model