I work at Shenzhen Research Institute of Big Data (SRIBD) as a research assistant now in Shenzhen, doing some audio-related anti-spoofing research.

I graduated from University of Electronic Science and Technology of China(电子科技大学) with a bachelor’s degree and from the Department of Electronic and Computer Engineering, Peking University (北京大学信息工程学院) with a master’s degree, advised by Yuexian Zou (邹月娴).

My research interest includes voice security, spoken keyword spotting and speaker verification. I have published 2 papers at the top international conferences such as ICASSP, INTERSPEECH.

🔥 News

  • 2022.01: One paper is accepted by ICASSP 2022!
  • 2021.06: One paper is accepted by INTERSPEECH 2021!

📝 Publications

📚 Speaker Verification and Keyword Spotting Multi-task


Learning Decoupling Features Through Orthogonality Regularization
Li Wang, Rongzhi Gu, Weiji Zhuang, Peng Gao, Yujun Wang, Yuexian Zou

  • This paper is committed to improving the model performance of personalized keyword spotting (identifying keywords and speakers) tasks. This paper believes that the key of personalized keyword spotting task is how to effectively extract the features shared by two tasks and decouple the features related to tasks. This paper creatively uses orthogonal regularization to constrain the model to decouple keyword information and speaker information.

🎙 Spoken Keyword Spotting


Text Anchor Based Metric Learning for Small-Footprint Keyword Spotting
Li Wang, Rongzhi Gu, Nuo Chen, Yuexian Zou

  • Innovatively propose a measurement learning method based on text anchor, and use BERT to generate embedding with rich semantic information, so that the model can understand the semantic information of keywords.

📖 Educations

  • 2019.06 - 2022.07, Master, Peking University, Shenzhen.
  • 2015.09 - 2019.06, Undergraduate, University of Electronic Science and Technology of China, Chengdu.

💻 Internships

🏀 Services

👏 Template of This Page

Thanks to Yi Ren (任意) for his open source contribution, template link AcadHomepage .