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arXiv 2106.08685cs.SDcs.LGeess.AS

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

National Cheng Kung University(国立成功大学);Academia Sinica(中央研究院);Yating Music Team(雅婷音乐团队);Taiwan AI Labs(台湾人工智能实验室)

Ching-Yu Chiu, Alvin Wen-Yu Su, Yi-Hsuan Yang

英文摘要:

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.

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