基本信息
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Bio
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.
Research Interests
Papers共 319 篇Author StatisticsCo-AuthorSimilar Experts
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CoRR (2024)
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arxiv(2024)
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CoRR (2024): 11501-11505
arxiv(2024)
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arXiv (Cornell University)pp.1-7, (2023)
Conference of the International Speech Communication Associationpp.4893-4897, (2023)
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.12692-12696, (2023)
ICASSPpp.1-5, (2023)
Conference of the International Speech Communication Associationpp.3662-3666, (2023)
arXiv (Cornell University)pp.1-5, (2023)
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