MusicVAE
Attempting to recreate a Hierarchical Variational Autoencoder for Music in PyTorch
This is a project done during the course 02456 Deep Learning at DTU. As such, elements have been borrowed from or inspired by this repository
Attribution and References
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Adam Roberts, Jesse Engel, Colin Raffel, Curtis Hawthorne, Douglas Eck, A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music
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Colin Raffel. "Learning-Based Methods for Comparing Sequences, with Applications to Audio-to-MIDI Alignment and Matching". PhD Thesis, 2016.
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Colin Raffel and Daniel P. W. Ellis. Intuitive Analysis, Creation and Manipulation of MIDI Data with pretty_midi. In Proceedings of the 15th International Conference on Music Information Retrieval Late Breaking and Demo Papers, 2014.
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Librosa: Audio and music signal analysis in python