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Companion code to the preprint "Setting the rhythm scene: deep learning-based drum loop generation from arbitrary language cues"

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words2drums

Companion code to the preprint "Setting the rhythm scene: deep learning-based drum loop generation from arbitrary language cues"

First ensure you have the required libraries installed:

keras
numpy
torch
transformers

Unpack the pre-trained model:

$ tar xvfz trained_words2drums.tar.gz

Add any word or phrase to inputs.txt, the script will generate one drum pattern per line:

$ python3 words2drums.py

If you have any questions, please contact the author at ignacio.tripodi (at) colorado.edu.

Citations:

I. J. Tripodi, “Setting the rhythm scene: deep learning-based drum loop generation from arbitrary language cues.” arXiv, Sep. 20, 2022. doi: 10.48550/arXiv.2209.10016.

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Companion code to the preprint "Setting the rhythm scene: deep learning-based drum loop generation from arbitrary language cues"

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