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个人简介
Tan Lee has been working on speech and language related research since early 90s. His research interests cover speech and audio signal processing, spoken language technology, deep learning models of speech and language, paralinguistics in speech, and neurological basis of speech and language. Tan Lee led the effort on developing Cantonese-focused spoken language technologies that have been widely licensed for industrial applications. His work addressed many challenging problems in multi-lingual and cross-lingual speech processing, e.g., code-switching, low- or zero-resource languages. Tan Lee's recent research is featured by in-depth and substantive collaboration across a wide spectrum of disciplines. He is committed to apply signal processing and machine learning methods to atypical speech and language that are resulted from different kinds of human communication and cognitive disorders across a wide age range.
研究兴趣
论文共 307 篇作者统计合作学者相似作者
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CoRR (2024)
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CoRR (2024): 11501-11505
arXiv (Cornell University)pp.1-7, (2023)
arXiv (Cornell University) (2023)
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ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.12692-12696, (2023)
arXiv (Cornell University) (2023)
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arxiv(2023)
2023 45TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY, EMBC (2023): 1-4
CoRR (2023)
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