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.
To facilitate the import functionality, the names of some modules are modified. So make sure that you reinstalled the package. Then you can import and use the package as the following example:
To facilitate the import functionality, the names of some modules are modified. So make sure that you reinstalled the package. Then you can import and use the package as the following example:
''' from jump_reward_inference.joint_tracker import joint_inference estimator = joint_inference(1, plot=True) output = estimator.process("C:/datasets/testdata/123.mp3") print(output) '''