This repository contains the implementation of an efficient joint beat, downbeat, tempo, and meter tracking system using a compact 1D probabilistic state space and a jump-back reward technique. ICASSP 2022.
This release includes the jump reward inference model on the proposed 1D state space for the joint beat, downbeat, tempo, and meter tracking using the BeatNet activations.