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 advisor 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. My recent works have focused on accented (non-native) speech assessment and multilingual Automatic Speech Recognition. In the past, I also had experience in Spoken Language Understanding (Intent Classification) and Natural Language Processing (Event and Event Temporal Relation Extraction).
Ph.D. in Electrical and Computer Engineering, 2021-
University of Texas at Dallas, USA
Ph.D. in Computer Science, 2020-2021 (quitted)
Texas A&M University, USA
M.S. in Electrical Engineering, 2017-2019
University of Southern California, USA
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. Manager: Duc Le, Ozlem Kalinli (AI Speech team).
Develop multilingual ASR technologies for on-device scenario.
Supervisor: Nanyun Peng.
NLP projects (Information Extraction).
A Mis-pronunciation Detection system, with word-level aligned phonemes predictions.
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!