Chin-Hui Lee is affiliated with the Georgia Institute of Technology in the United States. Their research primarily spans the fields of Computer Science, with focused work in Signal Processing, Artificial Intelligence, Computational Mechanics, Computer Vision and Pattern Recognition, and Cognitive Neuroscience.
The scientist's main topics of study include Speech and Audio Processing, Speech Recognition and Synthesis, Music and Audio Processing, Advanced Adaptive Filtering Techniques, Blind Source Separation Techniques, Hearing Loss and Rehabilitation, and Infant Health and Development.
Chin-Hui Lee has contributed to a significant number of publications, including papers in various well-known venues such as arXiv (Cornell University), IEEE/ACM Transactions on Audio Speech and Language Processing, ICASSP 2022, Interspeech 2022, and the 2022 13th International Symposium on Chinese Spoken Language Processing (ISCSLP).
Their research collaborations include frequent co-authorship with Jun Du, Sabato Marco Siniscalchi, Chao-Han Huck Yang, Qing Wang, and Shutong Niu.
Chin-Hui Lee has published extensively in the following venues:
In 1997, Chin-Hui Lee was awarded the IEEE Fellow distinction for contributions to automatic speech and speaker recognition.
J.-L. Gauvain;Chin-Hui Lee
Yong Xu;Jun Du;Li-Rong Dai;Chin-Hui Lee
Yong Xu;Jun Du;Li-Rong Dai;Chin-Hui Lee
Biing-Hwang Juang;Wu Hou;Chin-Hui Lee
J.G. Wilpon;L.R. Rabiner;C.-H. Lee;E.R. Goldman
A. Sankar;Chin-Hui Lee
Jun Qi;Jun Du;Sabato Marco Siniscalchi;Xiaoli Ma
C.-H. Lee;C.-H. Lin;B.-H. Juang
J. Baker;Li Deng;J. Glass;S. Khudanpur
Hu Chen;Hu Chen;Kailai Zhang;Peijun Lyu;Hong Li
Haizhou Li;Bin Ma;Chin-Hui Lee
Sadia Shakil;Chin-Hui Lee;Shella Dawn Keilholz
Chin-Hui Lee;Frank K. Soong;Kuldip K. Paliwal
W. Chou;B.H. Juang;C.H. Lee
C.H. Lee;L.R. Rabiner;R. Pieraccini;J.G. Wilpon
Biing-Hwang Juang;Tatsuya Kawahara;Chin-Hui Lee
S. Katagiri;Biing-Hwang Juang;Chin-Hui Lee
R.A. Sukkar;Chin-Hui Lee
Unknown
C.-H. Lee;J.-L. Gauvain
K. Shinoda;C.-H. Lee
C.-H. Lee;L.R. Rabiner
If you think any of the details on this page are incorrect, let us know.
Studying Computer Science in the USA opens doors to a variety of technology careers, but it can also serve as a springboard to related fields. If you’re interested in environmental impact and sustainability, you might consider an environmental science degree. This path offers roles in research, policy, and technology solutions for real-world environmental problems.
For those aiming to start their careers quickly, a fast track computer science degree can help you earn credentials and join the workforce faster. Similarly, cost-conscious students often look at the cheapest online environmental science degree or the cheapest online mechanical engineering degree to minimize education expenses while gaining in-demand skills.
Exploring these diverse degree options and career pathways ensures you find a program that fits your goals, budget, and timeline, whether you choose to specialize in computer science or branch out into other STEM fields.
Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur
Publications: 55
University of Melbourne
University of Dundee
Queen's University Belfast
University of Padua
University of Minnesota
Bucknell University
Yale University
Pennsylvania State University
University of Oklahoma
Case Western Reserve University
Forschungszentrum Jülich
University of California, Irvine
University of Miami
University of California, San Diego
National Health Service
Daegu Gyeongbuk Institute of Science and Technology