
This paper introduces a feedback correction model based on the Kalman Filter for understanding interpersonal timing in ensemble music performance. The model is designed to capture how musicians adjust timing when musical tempo varies, while retaining low computational cost and performance comparable to other linear correction models.
The paper was presented at ISMIR 2024 in San Francisco and is listed in the University of Birmingham research portal as part of the ARME project record.