activity
20202022
most citedDrum-Aware Ensemble Architecture for Improved Joint Musical Beat and Downbeat Tracking

12 citations · 18 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD20222 cited

JukeDrummer: Conditional Beat-aware Audio-domain Drum Accompaniment Generation via Transformer VQ-VAE

Yueh-Kao Wu, Ching-Yu Chiu, Yi-Hsuan Yang

This paper proposes a model that generates a drum track in the audio domain to play along to a user-provided drum-free recording. Specifically, using paired data of drumless tracks…

eess.AS20224 cited

An Analysis Method for Metric-Level Switching in Beat Tracking

Ching-Yu Chiu, Meinard Müller, Matthew E. P. Davies +2

For expressive music, the tempo may change over time, posing challenges to tracking the beats by an automatic model. The model may first tap to the correct tempo, but then may fail…

cs.SD2021

Source Separation-based Data Augmentation for Improved Joint Beat and Downbeat Tracking

Ching-Yu Chiu, Joann Ching, Wen-Yi Hsiao +3

Due to advances in deep learning, the performance of automatic beat and downbeat tracking in musical audio signals has seen great improvement in recent years. In training such deep…

cs.SD202112 cited

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

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

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…

eess.AS2020

Mixing-Specific Data Augmentation Techniques for Improved Blind Violin/Piano Source Separation

Ching-Yu Chiu, Wen-Yi Hsiao, Yin-Cheng Yeh +2

Blind music source separation has been a popular and active subject of research in both the music information retrieval and signal processing communities. To counter the lack of av…