Summary
Tsun-an Hsieh is a Ph.D. student and research assistant at UIUC specializing in machine learning for speech and audio, with nine years of research experience spanning Academia Sinica, Indiana University, and industry internships at Meta and Microsoft. He develops robust front-end algorithms for speech enhancement, source separation, and target speaker extraction, with publications in ICASSP and Interspeech. His work bridges signal processing and conversational speech understanding, aiming to make front-end models that reliably support downstream interaction. Tsun-an’s background includes an M.S. in Networking and Multimedia from NTU and a B.S. in Computer Science, reflecting a long-standing focus on audio-centric systems. Notably, he has moved between academic labs and major tech research teams, bringing both theoretical rigor and practical deployment perspective to audio ML problems.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Intelligent Systems Engineering, Doctor of Philosophy - PhD, Intelligent Systems Engineering at Indiana University Bloomington
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at 長庚大學
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Illinois Urbana-Champaign
Master of Science - MS, Networking and Multimedia, Master of Science - MS, Networking and Multimedia at 國立臺灣大學