Hi, there! My name is Mu Yang. I obtained my M.S. degree in Electrical Engineering at University of Southern California (USC). Currently I am working as a research assistant at Plus Lab at USC Information Scienceses Institute (ISI), fortunate to be supervised by Prof. Nanyun (Violet) Peng.
My research interests lie in Natural Language Understanding and Information Extraction, specifically Event Temporal Relation Extraction and Biomedical Event Extraction. Previously I also work on Spoken Language Understanding and Speech Synthesis, collaborating with Prof. Panayiotis Georgiou and folks from SCUBA Lab at USC.
I am now applying to PhD starting from Fall 2020.
M.S. in Electrical Engineering, 2019
University of Southern California, U.S.
B.Eng. in Communication Engineering, 2017
Chongqing University, China
Exchange Student, 2016
National Sun Yat-sen University, Taiwan
(*: Equal Contribution)
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.
An Auto-Encoder Neural Network based Audio Denoiser. It trys to reconstruct the clean audio from the noise-mixed audio. Mel-frequency Spectrum features are used to train the Neural Network.
A Parallel second-order-based equalizer for Room Impulse Response Calibration.
Train and deploy a Faster-RCNN framework to perform pedestrain detection in videos.
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!