Prof. Yuan-Fu Liao

Biosketch

Yuan-Fu Liao received B.S., M.S., and Ph.D. degrees from the Department of Communication Engineering, National Chiao Tung University (NCTU), Hsinchu, Taiwan, in 1991, 1993, and 1998, respectively. From January 1999 to June 1999, he was a Postdoctoral Researcher at the Department of Communication Engineering, NCTU. From September 1999 to February 2002, he served as a Research Engineer at Philips Research East Asia, Taiwan. From February 2002 to July 2022, he was affiliated with the Department of Electronic Engineering, National Taipei University of Technology (NTUT), Taipei, Taiwan.

Since August 2022, he has been affiliated with the Institute of Artificial Intelligence Innovation at the Industry Academia Innovation School, National Yang Ming Chiao Tung University (NYCU), HsinChu, Taiwan. He currently holds a position as a full Professor and is jointly appointed by the College of Electrical and Computer Engineering at NYCU.

His major research interests include Speech Signal Processing (speech, speaker, language, and emotion recognition; speech synthesis), Audio Signal Processing (speech enhancement, microphone array), Natural Language Processing (machine translation, large language models), Machine Learning (deep learning, deep neural networks), and Multi-modal Foundation Models with applications in robotics, medicine, and education.

現職

Media reports

projects

rewards

2017 Broadcast Golden Bell Awards(廣播金鐘獎)

Our Team received the "創新研發應用獎" (Technology Innovation Award) in the Broadcast Golden Bell Awards 2017 ceremony for Automatic Subtitling of Broadcast Radio Programs and Interactive Learning Systems.


Guest editor of Special Issue of electronics

INTERNATIONAL BENCHMARKS

Our team has been ranked the [3rd] out of 19 in the overall performance (average of the performance of all conditions in Cavg) ranking list, and the [4th], [2nd] and [2nd] out of 19 in the 1-, 3-second and full length utterance ranking list. Note: The submissions with a star after the team name is an extended submission. This means they should not be treated equally as the regular submissions (without a star).

Our team NCTU-NTUT has be ranked the [4th] out of 19 with Mean-Ranked 6.5 out of 23 runs submissions.

Our deep LSTM-based ASR achieved overall performance Rank 2, English performance Rank 1 in the extended submission of OC16 Chinese-English MixASR Challenge

OTHER INTERNATIONAL BENCHMARKS

NIST Speaker Recognition Evaluation

Language Recognition Evaluation

Blizzard Challenge (Text-to-Speech)

SIGHAN Bakeoff (Natural Language Processing)

Other Shared Tasks