Hi, there! My name is Mu Yang. I’m a 2nd year Ph.D. student in Electrical and Computer Engineering (ECE) at University of Texas at Dallas. My supervisor is Dr. John H. L. Hansen. I’m a member of UTD Center for Robust Speech Systems (UTD CRSS). My research interests include Speech Recognition and Speech Synthesis. In the past, I also had experience in Natural Language Processing, especially in Information Extraction (Event and Event Temporal Relation Extraction).
During my Master’s study at USC, I worked with Dr. Panayiotis Georgiou on Spoken Language Understanding and Speech Synthesis problems. I also worked with Dr. Nanyun (Violet) Peng on Natural Langauge Processing and Information Extraction at USC Information Scienceses Institute (USC ISI). During 2020-2021, I was a Computer Science Ph.D. student at Texas A&M Univeristy, working on Speech Mis-pronunciation Recognition and Voice/Accent Conversion.
Ph.D. in Electrical and Computer Engineering, 2021-
University of Texas at Dallas, U.S.
Ph.D. in Computer Science, 2020-2021 (quitted)
Texas A&M University, U.S.
M.S. in Electrical Engineering, 2017-2019
University of Southern California, U.S.
B.Eng. in Communication Engineering, 2013-2017
Chongqing University, China
Exchange Student, 2016
National Sun Yat-sen University, Taiwan
Mentors: Andros Tjandra, Chunxi Liu, David Zhang.
Develop multilingual ASR technologies for on-device scenario.
Supervisor: Nanyun Peng.
NLP projects (Information Extraction).
Final project for USC course EE599: Deep Learning Lab for Speech Processing - a WaveNet-based singing voice synthesizer. This is a partial implementation of the paper A Neural Parametric Singing Synthesizer Modeling Timbre and Expression from Natural Songs.
Web crawler of lyrics and corresponding music genre. Multiple baseline classifiers, such as Naive Bayes, SVM and Neural Approach(LSTM) are applied to identify the genre of a song by analyzing its lyrics.
I love music! I play guitar (a lot), bass (a little), drum (a little) and violin (>10 years back). I play and sing in a few (unprofessional) bands. We covered songs from our favorite artists. Check out some of our videos!