AI Prototype for Improvisation and Ensemble Interaction
This project explores a virtual musical system designed for real-time improvisation and ensemble interaction. Developed in Max/MSP, the system listens to a performer, analyzes musical information in real time, and generates responsive phrases during performance.
The research focuses on interaction, unpredictability, and musical dialogue between performer and machine. As the system receives new material, it continuously reorganizes and transforms incoming information, producing evolving responses that influence the direction of the performance.
This work is part of a broader interest in responsive musical systems and performative technologies that react through listening, adaptation, and real-time behavior. The system remains in continuous development, with ongoing research into expanded interaction models and future integration with Python-based processes.