Kai-Wei Chang (張凱爲)

Kai-Wei Chang is a third-year Ph.D. student at National Taiwan University, supervised by Professor Hung-yi Lee. His research focuses on speech self-supervised learning and speech language models within the prompting paradigm. Particularly, He focuses on reshaping the speech foundation model into a comprehensive universal speech processing framework.

He has contributed to publications in esteemed speech conferences including ICASSP, Interspeech, ASRU, and SLT. Additionally, he has served as a tutorial speaker at ICASSP 2023, ICASSP 2024 and gained valuable experience as a research scientist intern at Meta’s Reality Labs.

Selected Publications

  • SpeechPrompt: Prompting Speech Language Models for Speech Processing Tasks
    Kai-Wei Chang, Haibin Wu, Yu-Kai Wang, Yuan-Kuei Wu, Hua Shen, Wei-Cheng Tseng, Iu-thing Kang, Shang-Wen Li, Hung-yi Lee
    IEEE/ACM TASLP Volume 32, 2024

  • An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks
    Kai-Wei Chang, Wei-Cheng Tseng, Shang-Wen Li, Hung-yi Lee
    Interspeech 2022

  • SpeechPrompt v2: Prompt Tuning for Speech Classification Tasks
    Kai-Wei Chang, Yu-Kai Wang, Hua Shen, Iu-thing Kang, Wei-Cheng Tseng, Shang-Wen Li, Hung-yi Lee
    Preprint

  • SpeechGen: Unlocking the Generative Power of Speech Language Models with Prompts
    Kai-Wei Chang*, Haibin Wu*, Yuan-Kuei Wu*, Hung-yi Lee
    Preprint

  • Prompting and Adapter Tuning For Self-Supervised Encoder-Decoder Speech Model
    Kai-Wei Chang, Ming-Hsin Chen, Yun-Ping Lin, Jing Neng Hsu, Paul Kuo-Ming Huang, Chien-yu Huang, Shang-Wen Li, Hung-yi Lee
    ASRU 2024

  • Exploring In-Context Learning of Textless Speech Language Model for Speech Classification Tasks
    Kai-Wei Chang, Ming-Hao Hsu, Shang-Wen Li, Hung-yi Lee
    Interspeech 2024

  • Toward degradation-robust voice conversion
    Kai-Wei Chang*, Chien-yu Huang*, Hung-yi Lee>
    ICASSP 2022

For the full publication list, please refer to my google scholar

Internship

  • Meta Reality Labs - Research Scientist Intern June 2023 - Dec. 2023

Industrial Cooperation

  • Meta - Data Mining with Seamless Communication Feb. 2022 - Present

  • ASUS - Taiwanese Speech Recognition & Translation Nov. 2021 - Present

  • Bonio Inc. - Taiwanese Pronounciation Evaluation System Oct. 2021 - June 2022

Conference Tutorials

  • ICASSP 2024: Parameter-Efficient and Prompt Learning for Speech and Language Foundation Models
    Chao-Han Huck Yang (Amazon), Pin-Yu Chen (IBM Research), Hung-yi Lee (National Taiwan University),Kai-Wei Chang (National Taiwan University), Cheng-Han Chiang (National Taiwan University)

  • ICASSP 2023: Parameter‑Efficient Learning for Speech and Language Processing: Adapters, Prompts, and Reprogramming
    Pin-Yu Chen (IBM Research), Hung-yi Lee (National Taiwan University), Chao-Han Huck Yang (Georgia Institute of Technology), Kai-Wei Chang (National Taiwan University), Cheng-Han Chiang (National Taiwan University)

Teaching Assistant & Leadership

  • Machine Learning, 2021 Spring - Head Teaching Assistant Instrutor: Prof. Hung-yi Lee

    Led and coordinated with over 40 teaching assistants and over 1300 students.

  • Linear Algebra, 2020 Fall - Head Teaching Assistant Instrutor: Prof. Hung-yi Lee

    Led and coordinated with over 6 teaching assistants and about 130 students.