Unsupervised Play: Machine Learning Toolkit for Max

Benjamin D. Smith, and Guy E. Garnett

Proceedings of the International Conference on New Interfaces for Musical Expression

• Year: 2012
• Location: Ann Arbor, Michigan
• Keywords: NIME, unsupervised machine learning, adaptive resonance theory, self-organizing maps, Max 5
• DOI: 10.5281/zenodo.1178419 (Link to paper)
• PDF link

Abstract:

Machine learning models are useful and attractive tools for the interactive computer musician, enabling a breadth of interfaces and instruments. With current consumer hardware it becomes possible to run advanced machine learning algorithms in demanding performance situations, yet expertise remains a prominent entry barrier for most would-be users. Currently available implementations predominantly employ supervised machine learning techniques, while the adaptive, self-organizing capabilities of unsupervised models are not generally available. We present a free, new toolbox of unsupervised machine learning algorithms implemented in Max 5 to support real-time interactive music and video, aimed at the non-expert computer artist.

Citation:

BibTeX Entry:

  @inproceedings{Smith2012a,
 abstract = {Machine learning models are useful and attractive tools for the interactive computer musician, enabling a breadth of interfaces and instruments. With current consumer hardware it becomes possible to run advanced machine learning algorithms in demanding performance situations, yet expertise remains a prominent entry barrier for most would-be users. Currently available implementations predominantly employ supervised machine learning techniques, while the adaptive, self-organizing capabilities of unsupervised models are not generally available. We present a free, new toolbox of unsupervised machine learning algorithms implemented in Max 5 to support real-time interactive music and video, aimed at the non-expert computer artist.},
 address = {Ann Arbor, Michigan},
 author = {Benjamin D. Smith and Guy E. Garnett},
 booktitle = {Proceedings of the International Conference on New Interfaces for Musical Expression},
 doi = {10.5281/zenodo.1178419},
 issn = {2220-4806},
 keywords = {NIME, unsupervised machine learning, adaptive resonance theory, self-organizing maps, Max 5},
 publisher = {University of Michigan},
 title = {Unsupervised Play: Machine Learning Toolkit for Max},
 url = {http://www.nime.org/proceedings/2012/nime2012_68.pdf},
 year = {2012}
}