Drum-Aware Ensemble Architecture for Improved Joint Musical Beat and Downbeat Tracking
Journal
IEEE Signal Processing Letters
Journal Volume
28
Date Issued
2021-01-01
Author(s)
Abstract
This letter 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 inputs 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.
Subjects
Beat/downbeat tracking | Computer architecture | Deep learning | Hidden Markov models | Music | Source separation | source separation | Testing | Training
SDGs
Type
journal article