About me

I'm currently a Master of Science in Intelligent Information Systems (MIIS) students studying in Carnegie Mellon University. I'm expected to get my Master degree in May 2024.

My past research experience mainly focuses on Speech related fields, such as Text-to-Speech (TTS), Automatic Speaker Verification (ASV), etc.

Publication

  1. Source Tracing: Detecting Voice Spoofing (2022)
  2. Binary Neural Network for Speaker Verification (2021)
  3. DKU-CMRI System for the ASVspoof 2021 Challenge: Vocoder Based Replay Channel Response Estimation (2021)
  4. Residential Proximity to Major Roadways and Cognitive Function among Chinese Adults 65 Year and Older (2021)

Resume

Education

  1. Carnegie Mellon University

    2022 - present

    Master of Science in Intelligent Information Systems (MIIS) under School of Computer Science (SCS) Language Technology Institute (LTI).

    Expecting to get my Master degree in May, 2024.

  2. Duke Kunshan University

    2018 - 2022

    Bachelor of Science by Duke University and Duke Kunshan University, graduated in May 2022

    Major: Data Science GPA: 3.889/4.00

Experience

  1. Alibaba DAMO Academy, Research Intern

    2023 — 2023

    Take advantage of Residual Vector Quantization (RVQ), Neural Codec, and Large Language Model (LLM) tech-niques to design and implement better Text-to-Speech (TTS) system

  2. SMIIP Lab, Student Worker

    2019 — 2022

    Conduct research on Automatic Speaker Verification (ASV), including: Binary Neural Networks for Speaker Verification, The application of Res2Net Module in Speaker Verification, DKU-CMRI System for the ASVspoof 2021 Challenge: Vocoder Based Replay Channel Response Estimation.

  3. Microsoft Cloud + AI, Research Intern

    2021 — 2021

    Conducted joint training of ASR TTS ASV models to enlarge data sources of small languages, and enhanced human-computer interaction for more languages and dialects over the world.

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