A Tool for Generating Controllable Variations of Musical Themes Using Variational Autoencoders with Latent Space Regularisation
نویسندگان
چکیده
A common musical composition practice is to develop pieces using variations of themes. In this study, we present an interactive tool which can generate themes in real-time a variational autoencoder model. Our controllable semantically meaningful attributes via latent space regularisation technique increase the explainability The integrated into industry standard digital audio workstation - Ableton Live Max4Live device framework and run locally on average personal CPU rather than requiring costly GPU cluster. way demonstrate how cutting-edge AI research be exiting workflows professional practising musicians for use real-world beyond lab.
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ژورنال
عنوان ژورنال: Proceedings of the ... AAAI Conference on Artificial Intelligence
سال: 2023
ISSN: ['2159-5399', '2374-3468']
DOI: https://doi.org/10.1609/aaai.v37i13.27059