Mu Yang

Mu Yang

About Me

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.

  • Speech Recognition, Speech Synthesis
  • Natural/Spoken Language Processing
  • Information Extraction (Event and Event Relation)
  • 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


(2022). Learning ASR pathways: A sparse multilingual ASR model. submitted to ICASSP 2023.


(2022). Improving Mispronunciation Detection with Wav2vec2-based Momentum Pseudo-Labeling for Accentedness and Intelligibility Assessment. Interspeech 2022 (Oral).

PDF Audio Samples

(2022). Towards Lifelong Learning of Multilingual Text-To-Speech Synthesis. ICASSP 2022.

PDF Code Audio Samples

(2022). Joint hypoglycemia prediction and glucose forecasting via deep multi-task learning. ICASSP 2022.


(2021). EventPlus: A Temporal Event Understanding Pipeline. NAACL 2021 (Demonstrations).

PDF Code Demo

(2020). A CNN-based active learning framework to identify mycobacteria in digitized Ziehl-Neelsen stained human tissues. Computerized Medical Imaging and Graphics 2020.


(2020). Biomedical Event Extraction with Hierarchical Knowledge Graphs. EMNLP 2020 (Findings).

PDF Code

(2019). Deep Structured Neural Network for Event Temporal Relation Extraction. CoNLL 2019.

PDF Code

(2019). Spoken Language Intent Detection using Confusion2Vec. InterSpeech 2019.

PDF Dataset


Meta AI
Research Intern
Meta AI
May 2022 – Aug 2022 New York City, NY, USA

Mentors: Andros Tjandra, Chunxi Liu, David Zhang.

Develop multilingual ASR technologies for on-device scenario.

Research Assistant
Jul 2019 – Jul 2020 Los Angeles, CA, USA

Supervisor: Nanyun Peng.

NLP projects (Information Extraction).


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!