Ma Yi(马祎)

Ma Yi(马祎)

I am currently a final-year Ph.D. candidate at the National University of Singapore (NUS), supervised by Professor Li Haizhou. With six years of experience in deep learning, my research specializes in speech processing. I obtained my B.Eng from Sichuan University in 2017 and my M.Eng from Shanghai Jiao Tong University in 2020. I am now seeking career opportunities.

My research focuses on extracting speaker information from speech with robustness in noisy environments and developing explainable speaker verification systems. I have published multiple papers in conferences such as ICASSP and Interspeech. During my master’s, I built a deep learning model for detecting abnormal biological audio and deployed the model on an Android app with my supervisor Li Yongfu. I have strong experience in both academic research and engineering applications.

📝 Publications

ExPO: Explainable Phonetic Trait-Oriented Network for Speaker Verification, Yi Ma, Shuai Wang, Tianchi Liu and Haizhou Li, IEEE Signal Processing Letters (SPL), 2025. code

Gradient weighting for speaker verification in extreme low Signal-to-Noise Ratio, Yi Ma, Kong Aik Lee, Ville Hautamaki, Meng Ge, Haizhou Li, International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024. code

How Do Neural Spoofing Countermeasures Detect Partially Spoofed Audio?, Tianchi Liu, Lin Zhang, Rohan Kumar Das, Yi Ma, Ruijie Tao, Haizhou Li, Interspeech, 2024.

PL-EESR: Perceptual loss based end-to-end robust speaker representation extraction, Yi Ma, Kong Aik Lee, Ville Hautamaki, Haizhou Li, 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2021. code

LungRN+ NL: An improved adventitious lung sound classification using non-local block resnet neural network with mixup data augmentation, Yi Ma, Xinzi Xu, Yongfu Li, Interspeech, 2020.

LungBRN: a Smart Digital Stethoscope for Detecting Respiratory Disease Using bi-ResNet Deep Learning Algorithm, Yi Ma, Xinzi Xu, Qing Yu, Yuhang Zhang, Yongfu Li, Jian Zhao, Guoxing Wang, IEEE Biomedical Circuits and Systems Conference (BioCAS), 2019. code

Live Demo: LungSys - Automatic Digital Stethoscope System For Adventitious Respiratory Sound Detection, Yi Ma, Xinzi Xu, Qing Yu, Yuhang Zhang, Yongfu Li, Jian Zhao, Guoxing Wang, IEEE Biomedical Circuits and Systems Conference (BioCAS), 2019. code

Enhancing speech recognition for Parkinson’s disease patient using transfer learning technique, Qing Yu, Yi Ma, Yongfu Li, Journal of Shanghai Jiaotong University (Science), 2022.

LungAttn: advanced lung sound classification using attention mechanism with dual TQWT and triple STFT spectrogram, Jizuo Li, Jiajun Yuan, Hansong Wang, Shijian Liu, Qianyu Guo, Yi Ma, Yongfu Li, Liebin Zhao and Guoxing Wang, Physiological Measurement, 2021.

📖 Educations

  • 2020.08 - now, Ph.D. in National University of Singapore (NUS), Singapore.
  • 2017.09 - 2020.03, M.Sc. in Shanghai Jiao Tong University, Shanghai, China.
  • 2013.09 - 2017.06, B.Eng. in Electronic Information Engineer, Sichuan Universiy, Sichuan, China.

👔 Internships

  • 2024.11 - 2025.05,Huawei, Singapore.
  • 2020.05 - 2020.08,Pingan Technology, Shangha, China.

💻 Open Source Code