12 citations · 24 across the 7 of their papers we have counts for
7 papers
Local Periodicity-Based Beat Tracking for Expressive Classical Piano Music
Ching-Yu Chiu, Meinard Müller, Matthew E. P. Davies +2
To model the periodicity of beats, state-of-the-art beat tracking systems use "post-processing trackers" (PPTs) that rely on several empirically determined global assumptions for t…
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…
Single-Use Delegatable Signatures Based on Smart Contracts
Stephan Krenn, Thomas Lorünser
Delegation of cryptographic signing rights has found many application in the literature and the real world. However, despite very advanced functionalities and specific use cases, e…
Music Score Expansion with Variable-Length Infilling
Chih-Pin Tan, Chin-Jui Chang, Alvin W. Y. Su +1
In this paper, we investigate using the variable-length infilling (VLI) model, which is originally proposed to infill missing segments, to "prolong" existing musical segments at mu…
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…
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…
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…