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Can Machine-Learning Apply to Musical Ensembles?

Martin, Charles; Gardner, Henry


In this paper we ask whether machine learning can apply to musical ensembles as well as it does to the individual musical interfaces that are frequently demonstrated at NIME and CHI. While using machine learning to map individual gestures and sensor data to musical output is becoming a major theme of computer music research, these techniques are only rarely applied to ensembles as a whole. We have developed a server-based system that tracks the touch-data of an iPad ensemble and have...[Show more]

CollectionsANU Research Publications
Date published: 2016
Type: Conference paper
Source: Can Machine-Learning Apply to Musical Ensembles?
DOI: 10.5281/zenodo.56379
Access Rights: Free Access via publisher website


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