Chin-Yun Yu

Chin-Yun Yu is a Researcher at Queen Mary University of London's School of Electronic Engineering and Computer Science, focusing on advanced audio synthesis and signal processing. Their work emphasizes neural audio synthesis with expressiveness control, leveraging techniques like differentiable signal processing and style transfer. Yu's research integrates audio engineering, music informatics, and computational methods to achieve controllable audio expression across multiple time scales. They contribute to projects such as the Centre for Digital Music (C4DM) and have developed frameworks like DiffVox and GOLF for professional audio effects analysis and singing voice synthesis.

Yu's publications span topics including diffusion models for voice separation, LPC-based synthesis, and optimization techniques for audio systems. Their work bridges machine learning and traditional signal processing, addressing challenges in vocal effects style transfer, time-varying filter design, and spatial audio modelling. Collaborations include contributions to TorchAudio libraries and participation in international music demixing challenges.

While no specific awards or grants are listed, their involvement in initiatives like the Joint Student Innovation Centre (JSIC) highlights their engagement in cross-university educational and research collaborations with institutions like Beijing University of Posts and Telecommunications (BUPT). Yu's research aligns with Queen Mary's broader strengths in electronic engineering, computer science, and interdisciplinary innovation.