- new interfaces for musical performance
- computational creativity
- smartphone/tablet musical instruments
- collaborative performance
- co-creative interfaces
- percussive approaches to computer music
My research work is at the nexus of music technology, human-computer interaction and machine learning. I’m convinced that we can use computing systems to unlock new ways for people to be creative and enrich our everyday lives with new kinds of music and art. To do this, we need to imagine new kinds of computers, including embedding computers into new physical settings and to exploit machine learning to allow these computer systems to understand and interact with our complex creative activities.
I’m available to supervise student projects in computational creativity, creativity support systems, music technology, and interactive systems. I’m interested in creating and studying new computing systems at the nexus of creative arts, physical embodiment, interaction, and intelligence.
Charles Martin a computer scientist specialising in music technology, musical AI and human-computer interaction.
At the ANU, Charles leads research into intelligent musical instruments. His lab’s focus is on developing new intelligent instruments, performing new music with them, and bringing them to a broad audience of musicians and performers.
Charles was a postdoctoral fellow at the University of Oslo in the Engineering Prediction and Embodied Cognition (EPEC) project and the RITMO Centre for Interdisciplinary Studies in Rhythm, Time, and Motion from 2016–2019 where he developed new ways to predict musical intentions and performances in smartphone apps and embedded devices. Charles has a background in mathematics, computing, and music performance and has a classical percussion playing alter-ego.
Activities & Awards#
Charles is involved in international research organisations related to music computing, HCI and creative AI.