Performing with the inclusive machine: Roadmap for the design of AI collaborative musical instrument

A Web Interface for Real-Time Interaction with Machine Learning in Musical Performance

Rescuing Performance from the Demo: Co-Designing Drum Gesture Mappings with a Percussionist

Augmenting instruments with sensors and neural network mappings is a well-explored digital musical instrument design approach. While augmentations can create new expressive opportunities, they also exert aesthetic influence and can constrain musicians'gestural language, which, if left unchecked, can lead to technologic...

Distributed Agency in Collaborative Improvisation with Intelligent Instruments: A Phenomenological Inquiry

Explainable AI through the Lens of Material Agency: Enabling Musical Interface Design with Neural Audio Models

Recent work in Human-Computer Interaction (HCI) increasingly treats AI models as design materials that have distinctive computational properties to shape design artifacts. Artists learn to work with the model"at play"to explore their emerging properties. The aim of explainability, in this view, is to make visible a cra...

From Control to Co-Agency: Reframing Instrumentality through Sonic Traces in Augmented Musical Practice

Dynamic control strategy for robot music performance driven by reinforcement learning

The proposed RL-based dynamic control system successfully transforms score elements into performance actions which enable robots to deliver expressive music performances.