Summary
Mu Yang is a PhD student and speech researcher at the Center for Robust Speech Systems, University of Texas at Dallas, with eight years of experience building and evaluating speech recognition and synthesis systems. His work spans academic and industry research, including internships at Meta (text-to-audio & speech teams) and Microsoft Cognitive Services, where he focused on generative and robust audio models. With strong interdisciplinary training from USC, Texas A&M, and Chongqing University, he combines deep learning and signal-processing expertise to tackle real-world audio problems. Mu maintains an active research portfolio and public profile (mu-y.github.io) and has contributed to event extraction and biomedical imaging projects earlier in his career, reflecting a breadth beyond core speech tasks.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, 4.0/4.0, Doctor of Philosophy - PhD, Computer Science, 4.0/4.0 at Texas A&M University
Master of Science, Electrical Engineering, 3.73/4.0, Master of Science, Electrical Engineering, 3.73/4.0 at University of Southern California
Bachelor of Engineering, Communication Engineering, 3.63/4.0, Bachelor of Engineering, Communication Engineering, 3.63/4.0 at Chongqing University
Exchange Program, Electrical Engineering, 4.17/4.3, Exchange Program, Electrical Engineering, 4.17/4.3 at National Sun Yat-sen University
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at University of Texas at Dallas