Aug. 19, 2022, 1:10 a.m. | Marco Pasini, Jan Schlüter

cs.LG updates on arXiv.org arxiv.org

Fast and user-controllable music generation could enable novel ways of
composing or performing music. However, state-of-the-art music generation
systems require large amounts of data and computational resources for training,
and are slow at inference. This makes them impractical for real-time
interactive use. In this work, we introduce Musika, a music generation system
that can be trained on hundreds of hours of music using a single consumer GPU,
and that allows for much faster than real-time generation of music of arbitrary …

arxiv generation music

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