DAFNE+: RAVE 2 - User Feedback Questionnaire

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.

More about rave: https://forum.ircam.fr/projects/detail/rave/


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Why are you interested in neuronal synthesis?
How do you use neural synthesis, RAVE and nn~?
In which environment do you use RAVE?
Have you ever trained a model yourself?
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What sound source would you like to see a model of?
What type of data would you like to model in conjunction with audio?

How easy is it to use RAVE and nn~?

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What do you think RAVE and nn~ are missing?
Please feel free to add any comments you may have to help us improve RAVE and its documentation (FAQ, tutorials, etc.).
Thank you !!!!
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