![李琳山 https://static.aminer.cn/upload/avatar/14/859/21/53f46211dabfaee4dc83c485_0.png](https://avatarcdn.aminer.cn/upload/avatar/14/859/21/53f46211dabfaee4dc83c485_0.png!160)
Lin-shan Lee(李琳山)
Distinguished Professor
Department of Electrical Engineering
National Taiwan University;Department of Computer Science and Information Engineering, National Taiwan University;Center for Artificial Intelligence and Advanced Robotics, National Taiwan University
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Bio
His research interests include various topics in communications such as digital transmission theory and signal processing for communications, as well as various topics in spoken language processing including speech recognition and synthesis, spontaneous speech and prosodic modeling, spoken dialogues, spoken content retrieval and understanding, and computer-assisted language learning. He developed and published the earliest but very complete set of fundamental technologies for Chinese spoken language processing including speech synthesis (1986-89), natural sentence grammar and parser (1986-91) and large vocabulary speech recognition (1987-97). He also demonstrated a good number of the earliest versions of Chinese spoken language processing systems in the world which marked the beginning of Chinese spoken language processing, including text-to-speech systems (since 1984), a natural language analyzer (1986), large vocabulary speech recognition systems (since 1991), spoken content retrieval systems (since 1997), and spoken dialogue systems (since 1998). His major contributions to spoken content retrieval and browsing in recent years were also well recognized globally.
Research Interests
Papers共 428 篇Author StatisticsCo-AuthorSimilar Experts
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Chyi-Jiunn Lin,Guan-Ting Lin,Yung-Sung Chuang, Wei-Lun Wu, Shang-Wen Li,Abdelrahman Mohamed,Hung-yi Lee,Lin-shan Lee
IEEE International Conference on Acoustics, Speech, and Signal Processingpp.12476-12480, (2024)
2021 IEEE SPOKEN LANGUAGE TECHNOLOGY WORKSHOP (SLT) (2021): 186-193
Impactno. 1 (2021): 9-11
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Author Statistics
#Papers: 426
#Citation: 8901
H-Index: 38
G-Index: 60
Sociability: 6
Diversity: 3
Activity: 11
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