Groove2Drum Plugin

Groove2Drum Plugin

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Behzad Haki
Access

## Source Code

Compile from source via GitHub.

Packaged releases coming soon — check the repository for updates.

License

## License

See the GitHub repository for license information.

Publication
  1. Real-Time Drum Accompaniment Using Transformer Architecture

    Real-Time Drum Accompaniment Using Transformer Architecture

    Behzad Haki, Marina Nieto, Teresa Pelinski, and 1 more
    Proceedings of the 3rd International Conference on on AI and Musical Creativity · 2022
    Abstract

    This paper presents a real-time drum generation system capable of accompanying a human instrumentalist. The drum generation model is a transformer encoder trained to predict a short drum pattern given a reduced rhythmic representation. We demonstrate that with certain design considerations, the short drum pattern generator can be used as a real-time accompaniment in musical sessions lasting much longer than the duration of the training samples. A discussion on the potentials, limitations and possible future continuations of this work is provided.

    BibTeX
    @inproceedings{haki_behzad_2022_7088343,
      author = {Haki, Behzad and Nieto, Marina and Pelinski, Teresa and Jordà, Sergi},
      title = {{Real-Time Drum Accompaniment Using Transformer Architecture}},
      booktitle = {{Proceedings of the 3rd International Conference on on AI and Musical Creativity}},
      year = {2022},
      publisher = {AIMC},
      month = sep,
      doi = {10.5281/zenodo.7088343},
      url = {https://doi.org/10.5281/zenodo.7088343},
    }
Contact

## Contact

Behzad Haki — behzad.haki@upf.edu
Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain

Overview

## Overview

Groove2Drum is the first drum accompaniment system I released in VST3 plugin format. It generates real-time MIDI drum accompaniments based on an input groove extracted from a live MIDI performance.

This work was presented at AIMC 2022.

Demo

## Demo