People

Fei CHEN--Professor

Personal Home Page

Dr. Fei Chen received his BSc and MPhil degrees in Electronic Engineering, Nanjing University, and PhD degree in Electronic Engineering, The Chinese University of Hong Kong in 2005. He continued his research as post-doctor/research assistant professor in University of Texas at Dallas and The University of Hong Kong, and moved to Southern University of Science and Technology (SUSTech) as an associate professor in Department of Electronic Engineering in 2014. Dr. Chen’s research interests include speech perception and assistive hearing technology, brain-computer interface, and biomedical signal processing. Dr. Chen is a senior member of IEEE, and has published over 80 journal papers and over 60 conference papers. He received the best presentation award in the 9th Asia Pacific Conference of Speech, Language and Hearing, and 2011 National Organization for Hearing Research Foundation Research Awards in States. He is now serving as associate editor of <Frontiers in Psychology>, and editorial members of <Biomedical Signal Processing and Control> and <Physiological Measurement>.

Education

Ph.D., Biomedical Engineering, The Chinese University of Hong Kong, Dec.2001-Feb.2005

M.S., Biomedical Engineering, School of Electronic Science and Engineering, Nanjing University, Sep. 1998-Jul.2001

B.S., Radio Physics, School of Electronic Science and Engineering, Nanjing University, Sep.1994-Jul. 1998

Working Experiences

2020-Present, Professor, Department of Electrical and Electronic Engineering, Southern University of Science and Technology of China

2014-2020, Associate Professor, Department of Electrical and Electronic Engineering, Southern University of Science and Technology of China

2012-2014, Assistant Professor (Research), Division of Speech and Hearing Science, The University of Hong Kong

2009- 2011, Postdoctor Research Fellow & Assistant Professor (Research), Department of Electrical and Computer Engineering, The University of Texas at Dallas

2005- 2009, Research Fellow, Shun-hing Institute of Advanced Engineering, The Chinese University of Hong Kong 

Research Introduction

Speech perception and assistive hearing technologies

Brain-computer interface

Biomedical signal processing

Awards & Honors

Best Paper Award, 2017 International Conference on Complex Medical Engineering, Shenzhen

Best Presentation Award, 9th Asia Pacific Conference of Speech, Language and Hearing, Guangzhou, 2015

Shenzhen Overseas High-caliber Personnel Award (Peacock Plan), 2015

National Organization for Hearing Research (NOHR) Foundation Research Awards in USA, 2011

Papers

  1. Chen, Y., Wong, L. L. N., Kuehnel, V., Qian, J. Y., Voß, S. C., and Chen, F., “The role of lexical tone information in the recognition of Mandarin sentences in listeners with hearing aids,” Ear and Hearing, , vol. 41 (3), pp. 532–538, May-June 2020.
  2. Wang, L., Li, H., Wu, Ed X., and Chen, F., “Cortical auditory responses index the contribution of different level-dependent segments for speech intelligibility,” Hearing Research, vol. 383: 107808, 2019.
  3. Pan, F., Je, P. Y., Chen, F., Zhang, J., Wang, H., and Zheng, D. C., “A novel deep learning based automatic auscultatory method to measure blood pressure”, International Journal of Medical Informatics, vol. 128, pp. 71–78, August 2019.
  4. Xu, D. Y, Chen, F., Pan, F., and Zheng, D. C., “Factors affecting the intelligibility of high-intensity-level-based speech,” Journal of the Acoustical Society of America, vol. 146 (2), pp. EL 151–157, August 2019.
  5. Li, H, Zhang, X. Y., Feng, Y., and Chen, F., “Impact of low-pass filtering on masking release in understanding Mandarin sentences,” Journal of the Acoustical Society of America, vol. 146 (1), pp. EL 52–57, July 2019.
  6. Hartmann, V., Liu, H. P., Chen, F., Hong, W. T., Hughes, S., and Zheng, D. C., “Towards accurate extraction of respiratory frequency from the photoplethysmogram: Effect of measurement site,” Frontiers in Physiology, vol. 10, article ID 732, June 2019.
  7. Liu, H. P., Allen, J., Zheng, D. C., and Chen, F., “Recent development of respiratory rate measurement technologies,” Physiological Measurement, vol. 40, 07TR01, 2019.
  8. Chen, F., and Chen, J., “Perceptual contributions of vowels and consonant-vowel transitions in simulated electric-acoustic hearing”, Journal of the Acoustical Society of America, vol. 145 (3), pp. EL 197–202, March 2019.
  9. Hartmann, V., Liu, H. P., Chen, F., Qian, Q., Hughes, S., and Zheng, D. C., “Quantitative comparison of photoplethysmographic waveform characteristics: Effect of measurement site,” Frontiers in Physiology, vol. 10, article ID 198, March 2019.
  10. Ye, F. Q., Zheng, D. C., and Chen, F., “Effect of band power weighting on understanding sentences synthesized with temporal information”, Journal of the Acoustical Society of America, vol. 145 (2), pp. EL 168–172, February 2019.
  11. Chen, F., and Hu. Y., “Segmental contribution to cochlear implant speech perception,” Speech Communication, vol. 106, pp. 79–84, January 2019.
  12. Khalid, S. G., Zhang, J. F., Chen, F., Zheng, D. C., “Blood pressure estimation using photoplethysmography only: Comparison between different machine learning approaches,” Journal of Healthcare Engineering, vol. 2018, article ID 1548647, 2018.
  13. Pan, F., Chen, F., Liu, C., Yang, Z. P., Liu, Z. H., Zheng, D. C., “Quantitative comparison of Korotkoff sound waveform characteristics: Effects of static cuff pressures and stethoscope positions,” Annals of Biomedical Engineering, vol. 46, no. 11, pp. 1736–1744, 2018.
  14. Chen, F., and Chen, J., “Effects of fundamental frequency contour on understanding Mandarin sentences in bimodal hearing simulations,” Journal of the Acoustical Society of America, vol. 143 (5), pp. EL 354–360, May 2018.
  15. Wang, L., Zheng, D. C., and Chen, F., “Understanding low-pass-filtered Mandarin sentences: Effects of fundamental frequency contour and single-channel noise suppression,” Journal of the Acoustical Society of America, vol. 143 (3), pp. EL 141–146, March 2018.
  16. Lai, Y. H., Tsao, Y., Lu, X. G., Chen, F., Su, Y. T., Chen, K. C., Chen, Y. H., Chen, L. C., Li, P. H., Lee, C. H., “Deep learning-based noise reduction approach to improve speech intelligibility for cochlear implant recipients,” Ear and Hearing, vol. 39 (4), 795–809, 2018.
  17. Chen, F., Zheng, D. C., and Tsao, Y., “Effects of noise suppression and envelope dynamic range compression to the intelligibility of vocoded sentences for a tonal language,” Journal of the Acoustical Society of America, vol. 142(3), pp. 1157–1166, September 2017.
  18. Zhu, S. F., Wong, L. L. N., Wang, B., and Chen, F. “Assessing the importance of lexical tone contour to speech perception in Mandarin-speaking normal-hearing children,” Journal of Speech, Language, and Hearing Research, vol. 60, pp. 2116–2123, July 2017.
  19. Han, Y. Y., and Chen, F., “Relative contributions of formants to sentence intelligibility in Mandarin Chinese,” Journal of the Acoustical Society of America, vol. 141 (6), pp. EL 495–499, June 2017.
  20. Lai, Y. H., Chen, F., Wang, S. S., Lu, X. G, Tsao, Y., and Lee, C. H., “A deep denoising autoencoder approach to improving the intelligibility of vocoded speech in cochlear implantation,” IEEE Transaction on Biomedical Engineering, vol. 64(7), pp. 1568–1578, Jul. 2017.
  21. Shu, Y. L., Feng, X. X., and Chen, F., “Comparing the contributions of cochlea-scaled entropy and speech level to speech intelligibility,” Journal of the Acoustical Society of America, vol. 140 (6), pp. EL517–521, December 2016.
  22. Chen, F., “Representing the intelligibility advantage of ideal binary masking with the most energetic channels,” Journal of the Acoustical Society of America, vol. 140 (6), pp. 4161–4169, December 2016.
  23. Guan, T., Chu, G. X., Tsao, Y., and Chen, F., “Assessing the perceptual contributions of level-dependent segments to sentence intelligibility,” Journal of the Acoustical Society of America, vol. 139 (5), pp. 3745–3754, November 2016.
  24. Chen, F. and Chan, Fiona W. S., “Understanding frequency-compressed Mandarin sentences: Role of vowels,” Journal of the Acoustical Society of America, vol. 139 (3), pp. 1204–1213, March 2016.
  25. Chen, F., “Predicting the intelligibility of noise-corrupted speech non-intrusively by across-band envelope correlation,” Biomedical Signal Processing and Control, vol. 24, 109–113, February 2016.
  26. Chen, F., Wong, M. L. Y., Zhu, S. F., and Wong, L. L. N., “Relative contributions of vowels and consonants in recognizing isolated Mandarin words,” Journal of Phonetics, vol. 52, 26–34, September 2015.
  27. Chen, F., Hu, Y., and Yuan, M., “Evaluation of noise reduction methods for speech recognition by Mandarin-speaking cochlear implant listeners,” Ear and Hearing, vol. 36 (1), pp. 61–71, January 2015.

Contact Information

Email:fchen@sustech.edu.cn

首页

Address:Faculty Research Building 2, Xueyuan Boulevard,
Nanshan, Shenzhen, China

Email:eee@sustc.edu.cn

© 2016 All Rights Reserved.网站设计支持 粤ICP备14051456号