Cai-Jie Zhou

Papers

Total Citations

H-Index

About

Cai-Jie Zhou is a researcher whose work sits at the intersection of robotics, signal processing, and musical performance. Their primary research focus involves developing algorithms that enable robots to interpret and perform music autonomously, moving beyond pre-programmed sequences. In their most notable work, "Music Melody Extraction Algorithm for Flute Robot" (2020), Zhou proposed a novel algorithm based on fast Fourier transform to extract both rhythm and fundamental frequency from noiseless music recordings. This contribution is significant because it allows a flute robot to analyze a musical piece in real time and replicate it, rather than simply playing stored notes. While the paper has garnered 2 citations to date, its impact lies in laying foundational groundwork for expressive robotic musicianship. Zhou’s work bridges engineering and the arts, offering a compelling glimpse into how machines can learn to interpret human creativity. For students and researchers in robotics and audio processing, Zhou’s research represents a creative and technically rigorous step toward more autonomous, interactive robotic systems.