An examination of machine learning art and its practice in new media art and music. Over
the past decade, an artistic movement has emerged that draws on machine learning as both …

Publisher Summary This chapter explains the exploration of timbre by analysis and
synthesis. Timber is referred as the quality of sound. It is the perceptual attribute that helps in …

This article aims to lay a foundation for the research and practice of machine learning
education for creative practitioners. It begins by arguing that it is important to teach machine …

Supervised learning methods have long been used to allow musical interface designers to
generate new mappings by example. We propose a method for harnessing machine …

This thesis examines machine learning through the lens of human-computer interaction in
order to address fundamental questions surrounding the application of machine learning to …

Machine learning is the capacity of a computational system to learn structures from datasets
in order to make predictions on newly seen data. Such an approach offers a significant …

In this report, we describe our development on the Max/MSP toolbox MnM dedicated to
mapping between gesture and sound, and more generally to statistical and machine …

Musical instruments are used to play and to produce music, transforming the actions of one
or more performers into sound. This article explores some instrument design issues …

Machine learning (ML) has been used to create mappings for digital musical instruments for
over twenty-five years, and numerous ML toolkits have been developed for the NIME …

With current state-of-the-art human movement tracking techology it is possible to represent
in real-time most of the degrees of freedom of a (part of the) human body. This allows for the …