MARCS Monday Meeting (MMM): Dr Charles Martin

Event Name MARCS Monday Meeting (MMM): Dr Charles Martin
Start Date 9 Jul 2018 11:00 am
End Date 9 Jul 2018 12:00 pm
Duration 1 hour

MARCS Monday Meeting (MMM) Room 3.G.55 (Building 3)

Dr Charles Martin - University of Oslo, Norway

"Predictive Music Systems for Interactive Performance".

Biography: Charles Martin is a specialist in percussion, music technology, and musical AI from Australia. He uses methods from percussion, human-computer interaction, and machine learning to develop new musical technologies. He is the author of musical iPad app, PhaseRings, and founded touchscreen ensemble, Ensemble Metatone, percussion group, Ensemble Evolution, and cross-artform group, Last Man to Die. Charles did his doctoral research at the Australian National University developing intelligent agents that mediate ensemble performance. At present, Charles is 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 where he is developing new ways to predict musical intentions and performances in smartphone apps and embedded devices. Website:

Title and Abstract: "Predictive Music Systems for Interactive Performance".

Automatic music generation is a compelling task where much recent progress has been made with deep learning models. But how these models can be integrated into interactive music systems; how can they encourage or enhance the music making of human users?

Musical performance requires prediction to operate instruments, and perform in groups. Predictive models can help interactive systems to understand their temporal context, and ensemble behaviour. Deep learning can allow data-driven models with a long memory of past states.

This process could be termed "predictive musical interaction", where a predictive model is embedded in a musical interface, assisting users by predicting unknown states of musical processes. I’ll discuss a framework for predictive musical interaction including examples from our lab, and consider how this work could be applied more broadly in HCI and robotics. This talk will cover material from this paper:

MARCS Students and Academic Staff are reminded that MMMs have an important role in building and maintaining the sense of community which is central to the success of MARCS as a cooperative and energetic research institute.  Your attendance is both welcomed and expected.

The zoom ID for the MMM meeting every week is: 627 146 998. Link to zoom