Dr. Peng Dai

Post-doctoral Fellow
University of Western Ontario, Canada

Highest Degree
Ph.D. in Electrical and Electronic Engineering from University of Western Ontario, Canada

My URL
https://livedna.org/86.10280

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Biography

Dr. Peng DAI is currently working as a Postdoctoral Fellow in Toronto Rehabilitation Institute (TRI), joint affiliated with the Department of Computer Science University of Toronto. He obtained his PhD from Nanyang Technological University, Singapore in 2012. In past he worked as Research Associate at Nanyang Technological University Singapore. He has published 12 articles in journals as well as 3 papers in conferences.

Area of Interest:

Computer Sciences
Natural Language Processing
Machine Learning
Bioinformatics
Electrical Engineering

Selected Publications

  1. Ho, S.S., P. Dai and F. Rudzicz, 2015. Manifold learning for multivariate variable-length sequences with an application to similarity search. IEEE Trans. Neural Networks Learn. Syst., (In Press). 10.1109/TNNLS.2015.2399102.
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  2. Dai, P., S.S. Ho and F. Rudzicz, 2015. Sequential behavior prediction based on hybrid similarity and cross-user activity transfer. Knowledge-Based Syst., 77: 29-39.
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  3. Dai, P., F. Rudzicz, I.Y. Soon, A. Mihailidis and H. Ding, 2015. 2D Psychoacoustic modeling of equivalent masking for automatic speech recognition. Signal Process., 115: 9-19.
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  4. Dai, P. and I.Y. Soon, 2013. Robust speech recognition by using spectral subtraction with noise peak shifting. IET Signal Process., 7: 684-692.
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  5. Dai, P. and I.Y. Soon, 2013. An improved model of masking effects for robust speech recognition system. Speech Commun., 55: 387-396.
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  6. Dai, P., I.Y. Soon and R. Tao, 2012. Direct recovery of clean speech using a hybrid noise suppression algorithm for robust speech recognition system. ISRN Signal Process. 10.5402/2012/306305.
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  7. Dai, P. and I.Y. Soon, 2012. A Temporal Frequency Warped (TFW) 2D psychoacoustic filter for robust speech recognition system. Speech Commun., 54: 402-413.
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  8. Wang, Q., H. Wang, K. Hao and P. Dai, 2011. Two-phase flow regime identification based on cross-entropy and information extension methods for computerized tomography. IEEE Trans. Instrum. Meas., 60: 488-495.
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  9. Dai, P. and I.Y. Soon, 2011. A temporal warped 2D psychoacoustic modeling for robust speech recognition system. Speech Commun., 53: 229-241.
    CrossRef  |  Direct Link  |  
Member since July, 2015