English

Drum-Aware Ensemble Architecture for Improved Joint Musical Beat and Downbeat Tracking

Sound 2021-07-07 v1 Machine Learning Audio and Speech Processing

Abstract

This paper presents a novel system architecture that integrates blind source separation with joint beat and downbeat tracking in musical audio signals. The source separation module segregates the percussive and non-percussive components of the input signal, over which beat and downbeat tracking are performed separately and then the results are aggregated with a learnable fusion mechanism. This way, the system can adaptively determine how much the tracking result for an input signal should depend on the input's percussive or non-percussive components. Evaluation on four testing sets that feature different levels of presence of drum sounds shows that the new architecture consistently outperforms the widely-adopted baseline architecture that does not employ source separation.

Keywords

Cite

@article{arxiv.2106.08685,
  title  = {Drum-Aware Ensemble Architecture for Improved Joint Musical Beat and Downbeat Tracking},
  author = {Ching-Yu Chiu and Alvin Wen-Yu Su and Yi-Hsuan Yang},
  journal= {arXiv preprint arXiv:2106.08685},
  year   = {2021}
}

Comments

Accepted to IEEE Signal Processing Letters (May 2021)

R2 v1 2026-06-24T03:15:38.001Z