Fei Chen (Felix) 陈霏

Ph.D., Professor
Department of Electrical and Electronic Engineering Southern University of Science and Technology (SUSTech) No. 1088 Xueyuan Blvd., Shenzhen, China 518055 

 

fchen@sustech.edu.cn      (86) 755-88018554
About me Research Teaching Recent Activities Lab & students Information & Links

Researchid: G-4674-2018                              ORCID: 0000-0002-6988-492X

Google scholar: https://scholar.google.com.hk/citations?user=izf21D0AAAAJ&hl=zh-CN

Researchgate:    https://www.researchgate.net/profile/Fei_Chen9

            Research Interests       Publications (Book chapters, Journal papers, Conference papers, Conference abstracts)

Research Interests

  1. Speech communication and assistive hearing technologies

    • Speech perception, speech intelligibility/quality evaluation, speech enhancement

    • Speech coding and processing for hearing aids and cochlear implants

    • Auditory cognitive neuroscience (auditory attention decoding, emotion recognition, objective evaluation of speech perception)

    • 3D audio and spatial hearing

  2. Brain-computer interface

    • Speech-based brain-computer interface

    • Multi-modal (fNIRS, eye-tracking, EEG) technologies for understanding and improving human speech communication

  3. Biomedical signal processing

    • Cuffless blood pressure measurement, techniques to improve blood pressure measurement accuracy

    • Respiratory rate measurement

Publications

  • Book chapters

  1. Allen, J. and Chen, F., “Low frequency variability in PPG and autonomic function assessment,” in Photoplethysmography: Technology, Signal Analysis and Applications, Eds: Panicos Kyriacou and John Allen, Elsevier, pp. 277–318, 2021.

  2. Chen, F., Ni, W. L., Li, W. Y., and Li, H. W., “Cochlear implantation and rehabilitation,” in Hearing Loss: Mechanisms, Prevention and Cure, Eds: Huawei Li, and Renjie Chai, pp. 129–144, 2019.

  3. Lai, Y. H., Chen, F., and Tsao, Y., “Adaptive dynamic range compression for improving envelope-based speech perception: Implication for cochlear implants,” in Emerging Technology and Architecture for Big-data Analytics, Eds: Anupam Chattopadhyay, Chip Hong Chang, and Hao Yu, pp. 191–214, 2017.

  • Journal papers

  1. Wang, X. F., Ding, Y. T., Wang, L., and Chen, F., “A multi-task learning and auditory attention detection framework towards EEG-assisted target speech extraction,” Applied Acoustics, vol. 231, article ID: 110474, 2025.

  2. Lin, W. H., Zheng, D. C., Li, G. L., Chen, F., “Age-related changes in blood volume pulse wave at fingers and ears,” IEEE Journal of Biomedical and Health Informatics, vol. 24 (9), pp. 5070–5080, September 2024.

  3. Li, J. W., Feng, G. Y., Lv, J. J., Chen, Y. M., Chen, R. J., Chen, F., Zhang, S., Vai, M. I., Pun, S. H., Mak, P. U., “A lightweight multi-mental disorders detection method using entropy-based matrix from single-channel EEG signals,” Brain Science, vol. 14: 987, 2024.

  4. Bai, Y., Liu, S. W., Zhu, M. X., Wang, B. B., Li, S., Meng, L. P., Shi, X. H., Chen, F., Jiang, C. H., and Jiang, H. B., “Preliminary study on the central neural response to distorted speech perception on patients with cleft palate,” (腭裂患者异常语音感知中枢神经响应的初步研究), Stomatology (口腔医学) vol. 44 (2), 94-99, 2024.

  5. Xu, L. S., Guo, Z. Z., Zheng, D. C., Zhang, J. B., Chen, F., Liu, R., Li, C. S., and Tan, W. J., “Editorial: AI empowered cerebro-cardiovascular health engineering,” Frontiers in Physiology, vol. 14, article ID: 1335573, 2023.

  6. Bai, Y., Liu, S. W., Zhu, M. X., Wang, B. B., Li, S., Meng, L. P., Shi, X. H., Chen, F., Jiang, H. B., and Jiang, C. H., “Perceptual pattern of cleft-related speech: A task-fMRI study on typical mandarin-speaking adults,” Brain Sciences, 13, 1506, 2023.

  7. Hu, J. J., Liao, S. D., and Chen, F., “The influence of scale-based chord representation in chord generation tasks,” (in Chinese 音阶法和弦表示方式对于和弦生成任务的影响) Journal of Communication University of China (Science and Technology) (中国传媒大学学报自然科学版), vol. 30 (3), pp. 1–7, 2023.

  8. Liao, S. D., Liu, H. P., Lin, W. H., Zheng, D. C., and Chen, F., “Filtering-induced changes of derived pulse transmit time across different ages: A neglected concern in photoplethysmography-based cuffless blood pressure measurement,” Frontiers in Physiology, vol. 14, article ID 1172150, 2023.

  9. Zhou, S., Zhang, J. N., Fu, R. Q., Chen, F., Wong, Thomson W. L., Ng, Shamay S. M., Li, Z. Y., Zhou, Y. J., Zhang, S. M., Guo, S., and Hu, X. L., “Automatic theranostics for long-term neurorehabilitation after stroke,” Frontiers in Aging Neuroscience, vol. 15, article ID: 1154795, 2023.

  10. Allen, J., Nitzan, M., and Chen, F., “Autonomic function and low frequency PPG assessment,” in Charlton, P., ‘The 2023 wearable photoplethysmography roadmap’, Physiological Measurement, 2023 (in press).

  11. Hu, J. H., Yi, Z. Y., Zhao, Y. J., Zhang, J. H., Xiao, L. F., Man, C., Lau, V., Leong, Alex T. L., Chen, F., and Wu, Ed X., “Parallel imaging reconstruction using spatial nulling maps,” Magnetic Resonance in Medicine, vol. 90 (2), pp. 502–519, 2023.

  12. Gao, Q., Wong, Lena L. N., and Chen, F., “A review on the objective evaluation of hearing aid benefits with cortical auditory evoked potential,” (in Chinese, 皮层听觉诱发电位客观评估助听器助听效果的综述) Chinese Scientific Journal of Hearing and Speech Rehabilitation  (中国听力语言康复科学杂志), vol. 21 (2), pp. 138–143, 2023.

  13. Zhang, J. H., Yi, Z. Y., Zhao, Y. J., Xiao, L. F., Hu, J. H., Man, C., Lau, V., Su, S., Chen, F., Leong, Alex T. L., and Wu, Ed X., “Calibrationless reconstruction of uniformly-undersampled multi-channel MR data with deep learning estimated ESPIRiT maps,” Magnetic Resonance in Medicine, vol. 90 (1), pp. 280–294, 2023.

  14. Yi, Z. Y., Hu, J. H., Zhao, Y. J., Xiao, L. F., Liu, Y. L., Alex T. L., Leong, Chen, F., and Wu, Ed X., “Fast and calibrationless low-rank parallel imaging reconstruction through unrolled deep learning estimation of multi-channel spatial support maps,” IEEE Transactions on Medical Imaging, vol. 42(6), pp. 1644–1655, June 2023.

  15. Guo, Z. Z, and Chen, F., “Impacts of simplifying articulation movements imagery to speech imagery BCI performance,” Journal of Neural Engineering, vol. 20, 016036, 2023.

  16. Guo, Z. Z, and Chen, F., “Decoding articulation motor imagery using early connectivity information in the motor cortex: A functional near-infrared spectroscopy study,” IEEE Transactions on Neural Systems & Rehabilitation Engineering, vol. 31, pp. 506–518, 2023.

  17. Zezario, R. E., Fu, S. W., Chen, F., Fuh, C. S., Wang, H. M., and Tsao, Y., “Deep learning-based non-intrusive multi-objective speech assessment model with cross-domain features,” IEEE Transactions on Audio, Speech and Language Processing, vol. 31, pp. 54–70, 2023.

  18. Chen, F., and Tsao, Y., “Advances in biomedical signal processing for communication disorders,” Biomedical Signal Processing and Control, vol. 80: 104346, 2023.

  19. Pan, F., He, P. Y., Qian, Y. J., Gao, H., Chen, F., Liu, H. P., and Zheng, D. C., “Changes of Oscillogram envelope maximum with blood pressure and aging: A quantitative observation,” Physiological Measurement, vol. 43, 115008, 2022.

  20. Guo, Z. Z, and Chen, F., “Decoding lexical tones and vowels in imagined tonal monosyllables using fNIRS signals,” Journal of Neural Engineering, vol. 19, 066007, 2022.

  21. Ji, N., Li, Y. H., Wei, J. J., Chen, F., Xu, L. S., Li, G. L., Lin, W. H., “Autonomic modulation by low-intensity focused ultrasound stimulation of the vagus nerve,” Journal of Neural Engineering, vol. 19, 066036, 2022.

  22. Deng, X. P., Zheng, D. C., Liao, S. D, Chen, F., Li, G. L., and Lin, W. H., “The impact of age on the accuracy of heart rate and heart rate variability estimation using pulse wave,” (in Chinese, 年龄对利用脉搏波估计心率和心率变异性的准确性的影响) Journal of Integration Technology (集成技术), vol. 11 (6), pp. 57–66, December 2022.

  23. Chen, F., Chen, J., and Luo, X., “Editorial: New discoveries in the benefits and outcomes of cochlear implantation,” Frontiers in Neuroscience, vol. 16, article ID 1062582, 2022.

  24. Huang, W. T., Wong, Lena L. N., and Chen, F., “Pre-attentive fundamental frequency processing in Mandarin-speaking children with cochlear implants as revealed by the peak latency of positive mismatch response,” Frontiers in Neuroscience, vol. 16, article ID 1045939, 2022.

  25. Li, J. W., Chen, R. J., Barma, S., Chen, F., Pun, S. H., Mak, P. U., Wang, L. J., Zeng, X. X., Ren, J. C., and Zhao, H. M., “An approach to emotion recognition using brain rhythm sequencing and asymmetric features,” Cognitive Computation, 2022.

  26. Huang, W. T., Wong, Lena L. N., Chen, F., “Just-noticeable differences of fundamental frequency change in Mandarin-speaking children with cochlear implants,” Brain Sciences, vol. 12: 443, 2022.

  27. Li, J. W., Barma, S., Mak, P. U., Chen, F., Li, C., Li, M. T., Vai, M. I., and Pun, S. H., “Single-channel selection for EEG-based emotion recognition using brain rhythm sequencing,” IEEE Journal of Biomedical and Health Informatics, vol. 26(6), pp. 2493–2503, June 2022.

  28. Zhao, Y. J., Yi, Z. Y., Liu, Y. L., Chen, F., Xiao, L. F., Leong, Alex T. L., Wu, Ed X., “Calibrationless multi-slice cartesian MRI via orthogonally alternating phase encoding direction and joint low-rank tensor completion,” NMR in Biomedicine, 2022: e4695, 2022.

  29. Wang, L., Wang, Y. H., Liu, Z. X., Wu, Ed X., and Chen, F., “A speech-level-based segmented model to decode the dynamic auditory attention states in the competing-speaker scenes,” Frontiers in Neuroscience, vol. 15, article ID 760611, 2022.

  30. Lin, W. H., Zheng, D. C., Li, G. L., Zhou, H., and Chen, F., “Investigation on pulse wave forward peak detection and its applications in cardiovascular health,” IEEE Transactions on Biomedical Engineering, vol. 69(2), pp. 700–709, February 2022.

  31. Guo, Z. Z., and Chen, F., “Idle-state detection in motor imagery of articulation using early information: A functional near-infrared spectroscopy study,” Biomedical Signal Processing and Control, vol. 72: 103369, 2022.

  32. Feng, Y., and Chen, F., “Nonintrusive objective measurement of speech intelligibility: A review of methodology,” Biomedical Signal Processing and Control, vol. 71: 103204, 2022.

  33. Zhang, Y. Q., Zhang, Z. Y., Luo, L., Tong, H. Y., Chen, F., and Hou, S. T., “40 Hz light flicker alters human brain EEG microstates and complexity implicated in brain diseases,” Frontiers in Neuroscience, vol. 15, article ID 777183, 2021.

  34. Gao, Q., Wong, L. L. N., and Chen, F., “A review of speech perception of Mandarin-speaking children with cochlear implantation,” Frontiers in Neuroscience, vol. 15, article ID 773694, 2021.

  35. Tian, X. X., Liu, Y. M., Guo, Z. Z., Cai, J. Q., Tang, J., Chen, F., and Zhang, H. Z., “Cerebral representation of sound localization using functional near-infrared spectroscopy,” Frontiers in Neuroscience, vol. 15, article ID 739706, 2021.

  36. Liu, H. P., Allen, J., Khalid, S. G., Chen, F., and Zheng, D. C., “Filtering-induced time shifts in photoplethysmography pulse features measured at different body sites: the importance of filter definition and standardization,” Physiological Measurement, vol. 42, 074001, 2021.

  37. Ye, F. Q., Yang, B. B., Nam, C. Y., Xie, Y. N., Chen, F., and Hu, X. L., “A data-driven investigation on surface electromyography (sEMG) based clinical assessment in chronic stroke,” Frontiers in Neurorobotics, vol. 15, article ID 648855, July 2021.

  38. Liu, H. P., Wingert, A., Wang, X. H., Zhang, J. C., Sun, J. Z., Chen, F., Khalid, S. G., Gong, Y. L., Xia, L., Jiang, J., Wang, J. A., and Zheng, D. C., “Consistency in geometry among coronary atherosclerotic plaques extracted from computed tomography angiography,” Frontiers in Physiology, vol. 12, article ID 715265, 2021.

  39. Feng, Y., Zhu, S. F., and Chen, F., “A review on the development of subjective evaluation of visual fatigue,” (in Chinese, 视疲劳主观测量研究发展综述) Chinese Journal of Biomedical Engineering (中国生物医学工程学报), vol. 40 (5), pp. 597–607, 2021.

  40. Akbarzadeh, S., Lee, S. M., Chen, F., and Tan, C. T., “The effect of speech and noise levels on the quality perceived by cochlear implant and normal hearing listeners,” Speech Communication, vol. 132, pp. 106–113, September 2021.

  41. Pan, F., He, P. Y., Pu, X. B., Gao, H., Chen, F., Feng, J. F., and Zheng, D. C. “Influence of aging and increased blood pressure on oscillometric cuff pressure waveform characteristics,” Journal of Hypertension, vol. 39 (11), pp. 2157–2163, November 2021.

  42. Wang, L., Wu, Ed X., and Chen, F., “EEG-based auditory attention decoding using speech level based segmented computational models,” Journal of Neural Engineering, vol. 18, 046066, 2021.

  43. Al-Halhouli, A., Al-Ghussain, L., Khallouf, O., Rabadi, A., Alawadi, J., Liu, H. P., Oweidat, K., Chen, F., and Zheng, D. C., “Clinical evaluation of respiratory rate measurements on COPD (male) patients using wearable inkjet-printed sensor,” Sensors, vol. 21: 468, 2021.

  44. Liu, H. P., Wingert, A., Wang, J. A., Zhang, J. C., Wang, X. H., Sun, J. Z., Chen, F., Khalid, S. G., Jiang, J., and Zheng, D. C., “Extraction of coronary atherosclerotic plaques from CT imaging: A review of recent methods,” Frontiers in Cardiovascular Medicine, vol. 8, article ID 597568, 2021.

  45. Pan, F., He, P. Y., Wang, H., Xu, Y. H., Pu, X. B., Zhao, Q. J., Chen, F., and Zheng, D. C., “Development and validation of a deep learning based automatic auscultatory blood pressure measurement method,” Biomedical Signal Processing and Control, vol. 68: 102742, 2021.

  46. Lin, W. H., Chen, F., Geng, Y. J., Ji, N., Fang, P., and Li, G. L., “Towards accurate estimation of cuffless and continuous blood pressure using multi-order derivative and multivariate photoplethysmogram features,” Biomedical Signal Processing and Control, vol. 63: 102198, 2021.

  47. Liu, Y. L., Yi, Z. Y., Zhao, Y. J., Chen, F., Feng, Y. Q., Guo, H., Leong, A. T. L., and Wu, Ed X., “Calibrationless parallel imaging reconstruction for multi-slice MR data using low-rank tensor completion,” Magnetic Resonance in Medicine, vol. 85 (2), pp. 897–911, 2021.

  48. Yi, Z. Y., Liu, Y. L., Zhao, Y. J., Xiao, L. F., Leong, A. T. L., Feng, Y. Q., Chen, F., and Wu, Ed X., “Joint calibrationless reconstruction of highly undersampled multi-contrast MR datasets using low-rank hankel tensor completion framework,” Magnetic Resonance in Medicine, vol. 85 (6), pp. 3256–3271, 2021.

  49. Ma, E. P. M., Tse, M. M. S., Momenian, M, Pu, D, and Chen, F., “The effects of dysphonic voices on speech intelligibility in Cantonese-speaking adults,” Journal of Speech, Language, and Hearing Research, vol. 64, pp. 16–29, January 2021.

  50. Pan, F., He, P. Y., Chen, F., Xu, Y. H., Pu, X. B., Zhao, Q. J., Sun, P., and Zheng, D. C., “Evaluation of cuff deflation and inflation rate on a deep learning based automatic blood pressure measurement method: A pilot evaluation study,” Blood Pressure Monitoring, vol. 26 (2), 129–134, April 2021.

  51. Wu, H. D., Lin, W. H., Chen, F., and Zheng, D. C., “Effect of temporal misalignment on understanding Mandarin sentences in simulated combined electric-and-acoustic stimulation,” Journal of the Acoustical Society of America, vol. 148 (6), pp. EL 433–439, December 2020.

  52. Feng, Y., Ma, D. Z., and Chen, F., “Development and considerations of 5G-based healthcare applications,” (in Chinese, 5G医疗应用走向及相关问题思考) Medicine & Philosophy (医学与哲学), vol. 41 (10), pp. 14–19, 2020.

  53. Ji, N., Lin, W. H., Chen, F., Xu, L. S., Huang, J. P., and Li, G. L., “Blood pressure modulation with low intensity focused ultrasound stimulation to the vagus nerve: A pilot animal study,” Frontiers in Neuroscience, vol. 14, article ID 586424, 2020.

  54. Bonato, P., Chen, Y. F., Chen, F., and Zhang, Y. T., “Guest editorial flexible sensing and medical imaging for cerebro-cardiovascular health,” IEEE Journal of Biomedical and Health Informatics, vol. 24 (11), pp. 3189–3190, November 2020.

  55. Wang, L., Wu, Ed X., and Chen, F., “Robust EEG-based decoding of auditory attention with high-RMS-level speech segments in noisy conditions,” Frontiers in Human Neuroscience, vol. 14, article ID 557534, 2020.

  56. Huang, W. T., Wong, L. N., Chen, F., Liu, H. H., and Liang, W., “Effects of fundamental frequency contours on sentence recognition in Mandarin-speaking children with cochlear implants,” Journal of Speech, Language, and Hearing Research, vol. 63, pp. 3855–3864, November 2020.

  57. Liu, H. P., Chen, F., Hartmann, V., Khalid, S. G., Hughes, S., and Zheng, D. C., “Comparison of different modulations of photoplethysmography in extracting respiratory rate: from a physiological view,” Physiological Measurement, vol. 41, 094001, 2020.

  58. Chen, F., and Pan, C. J., “A review on brain-computer interface technologies for speech imagery,” (in Chinese, 基于发音想象的脑机接口的研究综述) Journal of Signal Processing (信号处理), vol. 36 (6), pp. 816–830, 2020.

  59. Liu, H. P., Wang, D. F., Leng, X. Y., Zheng, D. C., Chen, F., Wong, K. S., Shi, L., and Leung, W. H., “State-of-the-art computational models of circle of Willis with physiological applications: A review,” IEEE Access , vol. 8, pp. 156261–156273, 2020.

  60. Khalid, S. G., Liu, H. P., Zia, M., Zhang, J. F., Chen, F., and Zheng, D. C., “Cuffless blood pressure estimation using single channel photoplethysmography: A two-step method,” IEEE Access, vol. 8 (1), pp. 58146–58154, 2020.

  61. Lin, W. H., Li, X. X., Li, Y. H., Li, G. L., and Chen, F., “Investigating the physiological mechanism of the photoplethysmogram features for blood pressure estimation,” Physiological Measurement, vol. 41, 044003, 2020. [The Martin Black Prize for best paper published in the journal Physiological Measurement in 2020]

  62. 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.

  63. Pan, F., He, P., Chen, F., Pu, X., Zhao, Q., and Zheng, D., “Deep learning based automatic blood pressure measurement: evaluation of the effect of deep breathing, talking and arm movement,” Annals of Medicine, vol. 51 (7-8): 397–403, November–December 2019.

  64. 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.

  65. Niu, Y. D., Chen, F., and Chen, J., “The effect of F0 contour on the intelligibility of Mandarin Chinese for hearing-impaired listeners”, Journal of the Acoustical Society of America, vol. 146 (2), pp. EL 85–91, August 2019.

  66. Fu, Z., Yang, H. Y., Chen, F., Wu, X. H., and Chen, J., “Brainstem encoding of frequency-modulated sweeps is relevant to Mandarin concurrent-vowels identification for normal-hearing and hearing-impaired listeners,” Hearing Research, vol. 380, pp. 123–136, September 2019.

  67. 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.

  68. 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.

  69. 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.

  70. 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.

  71. Liu, H. P., Allen, J., Zheng, D. C., and Chen, F., “Recent development of respiratory rate measurement technologies,” Physiological Measurement, vol. 40, 07TR01, 2019. [The most read paper published in the journal Physiological Measurement, as of 20 July 2021]

  72. 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.

  73. 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.

  74. 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.

  75. Chen, F., and Hu. Y., “Segmental contribution to cochlear implant speech perception,” Speech Communication, vol. 106, pp. 79–84, January 2019.

  76. Xu, D. Y., and Chen, F., “A review on the objective evaluation of cochlear implant speech perception with mismatch negativity,” (in Chinese, 脑电失匹配负波客观评估人工耳蜗语音感知的综述) Chinese Journal of Biomedical Engineering (中国生物医学工程学报), vol. 38 (3), pp. 355–366, 2019.

  77. Tsao, Y., Lin, T. H., Chen, F., Chang, Y. F., Cheng, C. H., and Tsai, K. H., “Robust S1 and S2 heart sound recognition based on spectral restoration and multi-style training”, Biomedical Signal Processing and Control, vol. 49, pp. 173–180, 2019.

  78. Liu, Y. L., Lyu, M. Y., Barth, M., Yi, Z. Y., Leong, Alex T. L., Chen, F., Feng, Y. Q., and Wu, Ed X., “PEC-GRAPPA reconstruction of simultaneous multislice EPI with slice-dependent 2D Nyquist ghost correction,” Magnetic Resonance in Medicine, vol. 81, no. 3, pp.1924–1934, March 2019.

  79. 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.

  80. Wong, P. S., Cheng, S. T., and Chen, F., “Cantonese tone identification in three temporal cues in quiet, speech-shaped noise and two-talker babble,” Frontiers in Psychology, vol. 9, article ID 1604, October 2018.

  81. 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.

  82. Gu, F., Wong, L. L. N., Chen, F., Huang, W. T., Wang, L., Hu, A. X., “Lateral inhibition is a neural mechanism underlying mismatch negativity”, Neuroscience, vol. 385, pp. 38–46, August 2018.

  83. Zheng, D. C., Chen, F., Li, P., Peng, S. Y., “Advanced signal processing for cardiovascular and neurological diseases,” Computational and Mathematical Methods in Medicine, article ID 3416540, 2018.

  84. 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.

  85. 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.

  86. 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.

  87. Chen, F., and Wong, Y. W. E., “Mandarin tone identification with subsegmental cues in single vowels and isolated words,” Speech, Language and Hearing, vol. 21(3), pp. 183–189, 2018.

  88. Jiang, Y. B., Samuel, O. W., Liu, X. Y., Wang, X., Idowu, P. O., Li, P., Chen, F., Zhu, M. X., Geng, Y. J., Wu, F. X., Chen, S. X., and Li, G. L., “Effective biopotential signal acquisition methods based on shielded drive technology,” Applied Sciences, 8, 276, 2018.

  89. Chen, W. A., Chen, F., Feng, Y., Chen, A. Q., Zheng, D. C., “Quantitative assessment of blood pressure measurement accuracy and variability from visual auscultation method by observers without medical training,” Biomed Research International, article ID 3537079, 2017.

  90. Chen, F., and Wong L. L. N., “Speech perception of Chinese-speaking cochlear implantees,” International Journal of Audiology, vol. 56 (sup2), pp. S1–S2, December 2017.

  91. Wang, Y., Cao, L, Hao, D. M., Rong, Y., Yang, L., Zhang, S., Chen, F., and Zheng, D.C., “Effects of force load, muscle fatigue and extremely low frequency magnetic stimulation on EEG signals during side arm lateral raise task,” Physiological Measurement, vol. 38 (5), pp. 745–758, May 2017.

  92. Yang, F. W., Chen, F., Zhu, M. P., Chen, A. Q., Zheng, D. C., “Significantly reduced blood pressure measurement variability from both normotensive and hypertensive subjects: Effect of polynomial curve fitting of oscillometric pulses,” Biomed Research International, article ID 5201069, 2017.

  93. Herakova, N., Nzeribe, N. H., Wang, Y., Chen, F., and Zheng, D. C., “Effect of respiratory pattern on automated clinical blood pressure measurement: An observational study with normotensive subjects,” Journal of Clinical Hypertension, 23:15, 2017.

  94. Zhang, M., Zhang, X. M., Chen, F., Dong, B. R., Chen, A. Q., and Zheng, D. C., “Effects of room environment and nursing experience on clinical blood pressure measurement: An observational study,” Blood Pressure Monitoring, vol. 22 (2), pp. 79–85, 2017.

  95. 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.

  96. 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.

  97. 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.

  98. Lin, P. T., Lyu, D. C., Chen, F., Wang, S. S., and Tsao, Y., “Multi-style learning with denoising autoencoders for acoustic modeling in the internet of things (IoT),” Computer Speech and Language, vol. 46, pp. 481–495, November 2017.

  99. 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 Transactions on Biomedical Engineering, vol. 64(7), pp. 1568–1578, Jul. 2017.

  100. 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.

  101. 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.

  102. 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.

  103. Zhu, S. F., Wong, L. L. N., Chen, F., Chen, Y., and Wang, B., “Known-groups and concurrent validity of the Mandarin Tone Identification Test (MTIT),” PLoS ONE 11 (5): e0155595, May 2016.

  104. Chen, D. L., Chen, F., Murray, A., and Zheng, D. C., “Respiratory modulation of oscillometric cuff pressure pulses and Korotkoff sounds during clinical blood pressure measurement in healthy adults,” Biomedical Engineering Online, 15:53, 2016.

  105. Chen, F., Tsao, Y., and Lai, Y. H., “Modeling speech intelligibility with recovered envelope from temporal fine structure stimulus”, Speech Communication, vol. 81, pp. 120–128, July 2016.

  106. 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.

  107. 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.

  108. Guan, T., Zhu, K., Chen, F., He, Y. H., Wang, J., Wu, M. C, and Nie, G. H., “Auditory nerve impulses induced by 980 nm laser,” Journal of Biomedical Optics, vol. 20 (8): 88004, August 2015.

  109. Lai, Y. H., Tsao, Y., and Chen, F., “Effects of adaptation rate and noise suppression on the intelligibility of compressed-envelope based speech,” PLoS ONE, vol. 10 (7): e0133519, July 2015.

  110. Zhu, S. F., Chen, F., Wong, L. L. N., and Wang, B., “The considerations of developing Mandarin tone tests for children and the existing test materials,” Chinese Journal of Otology (中 华耳科学杂志), vo1.13 (4), pp. 601–607, 2015.

  111. Zhu, S. F., Wong, L. L. N., Chen, F., and Chen, Y., “Application of the Mandarin Tone Identification Test (MTIT) in children with hearing impairment,” Chinese Journal of Otorhinolaryngology Head and Neck Surgery (中 华耳鼻喉头颈外科杂志), vol. 50 (8), pp. 651–656, August 2015.

  112. Zhu, S. F., Wong, L. L. N., Chen, F., and Chen, Y., “Consonant discrimination by Mandarin-speaking children with prelingual hearing impairment,” International Journal of Pediatric Otorhinolaryngology, vol. 79 (8), pp. 1354–1361, August 2015.

  113. 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.

  114. 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.

  115. Zhu, S. F., Wong, L. L. N., and Chen, F., “Tone identification in Mandarin-speaking children with profound hearing impairment,” International Journal of Pediatric Otorhinolaryngology, vol. 78 (12), pp. 2292–2296, December 2014.

  116. Zhu, S. F., Wong, L. L. N., and Chen, F., “Development and validation of a new Mandarin tone identification test,” International Journal of Pediatric Otorhinolaryngology, vol. 78 (12), pp. 2174–2182, December 2014.

  117. Chen, Y., Wong, L. L. N., Chen, F., and Xi, X., “Tone and sentence perception in young Mandarin-speaking children with cochlear implants,” International Journal of Pediatric Otorhinolaryngology, vol. 78 (11), pp. 1923–1930, November 2014.

  118. Chen, F., Wong, L. L. N., and Hu, Y., “Effects of lexical tone contour on Mandarin sentence intelligibility,” Journal of Speech, Language, and Hearing Research, vol. 57 (1), pp. 338–345, February 2014.

  119. Lai, Y. H., Tsao, Y., and Chen, F., “A study of adaptive WDRC in hearing aids under noisy conditions,” International Journal of Speech & Language Pathology and Audiology, 1 (2), pp.43–51, 2013.

  120. Chen, F. and Guan, T., “Effect of temporal modulation rate on the intelligibility of phase-based speech,” Journal of the Acoustical Society of America, 134 (6), EL 520–526, December 2013.

  121. Chen, F., Wong, L. L. N., and Wong, Y. W. E., “Assessing the perceptual contributions of vowels and consonants to Mandarin sentence intelligibility,” Journal of the Acoustical Society of America, 134 (2), EL 178–184, August 2013.

  122. Chen, F., Wong, L. L. N., and Hu, Y., “A Hilbert-fine-structure-derived physical metric for predicting the intelligibility of noise-distorted and noise-suppressed speech,” Speech Communication, vol. 55 (10), pp. 1011–1020, December 2013.

  123. Chen, F., Wong, L. L. N., Qiu, J.X., Liu, Y. H., Azimi, B., and Hu, Y., “The contribution of matched envelope dynamic range to the binaural benefits in simulated bilateral electric hearing,” Journal of Speech, Language, and Hearing Research, vol. 56 (4), pp. 1166–1174, August 2013.

  124. Chen, F. and Hu, Y., “Modifying the normalized covariance metric measure to account for non-linear distortions introduced by noise-reduction algorithms,” Journal of the Acoustical Society of America, vol. 133 (5), pp. EL405–EL411, May 2013.

  125. Chen, F., Hazrati, O., and Loizou, P. C., “Predicting the intelligibility of reverberant speech for cochlear implant listeners with a non-intrusive intelligibility measure,” Biomedical Signal Processing and Control, vol. 8 (3), pp. 311–314, May 2013.

  126. Chen, F., Wong, L. L. N., Tahmina, Q., Azimi, B., and Hu, Y., “The effects of binaural spectral resolution mismatch on Mandarin speech perception in simulated electric hearing,” Journal of the Acoustical Society of America, vol. 132 (2), pp. EL142–EL148, August 2012.

  127. Chen, F. and Loizou, P. C., “Contribution of cochlea-scaled entropy versus consonant-vowel boundaries to prediction of speech intelligibility in noise,” Journal of the Acoustical Society of America, vol. 131 (5), pp. 4104–4113, May 2012.

  128. Chen, F., “Predicting the intelligibility of cochlear-implant vocoded speech from objective quality measure,” Journal of Medical & Biological Engineering, vol. 32 (3), pp. 189–194, June 2012.

  129. Chen, F. and Loizou, P. C., “Impact of SNR and gain-function over- and under-estimation on speech intelligibility,” Speech Communication, vol. 54 (2), pp. 272–281, February 2012.

  130. Chen, F. and Loizou, P. C., “Predicting the intelligibility of vocoded and wideband Mandarin Chinese,” Journal of the Acoustical Society of America, vol. 129 (5), pp. 3281–3290, May 2011.

  131. Chen, F. and Loizou, P. C., “Predicting the intelligibility of vocoded speech,” Ear and Hearing, vol. 32 (3), pp. 331–338, May/June 2011.

  132. Chen, F., “The relative importance of temporal envelope information for intelligibility prediction: A study on cochlear-implant vocoded speech,” Medical Engineering & Physics, vol. 33 (8), pp. 1033–1038, October 2011.

  133. Chen, F., “Intelligibility prediction for distorted sentences by the normalized covariance measure,” International Journal of Speech Technology, vol. 14 (3), pp. 237–243, September 2011.

  134. Chen, F. and Loizou, P. C., “Analysis of a simplified normalized covariance measure based on binary weighting functions for predicting the intelligibility of noise-suppressed speech,” Journal of the Acoustical Society of America, vol. 128 (6), pp. 3715–3723, December 2010.

  135. Chen, F. and Loizou, P. C., “Contribution of consonant landmarks to speech recognition in simulated acoustic-electric hearing,” Ear and Hearing, vol. 31 (2), pp. 259–267, February 2010.

  136. Chen, F. and Zhang, Y. T., “Zerocrossing-based nonuniform sampling to deliver low-frequency fine structure cue for cochlear implant,” Digital Signal Processing, vol. 21 (3), pp. 427–432, May 2011.

  137. Chen, F. and Zhang, Y. T., “A variant of the integrate-and-fire model to simulate the adaptive neural firing pattern,” Biomedical Signal Processing and Control, vol. 5 (1), pp. 66–69, 2010.

  138. Chen, F. and Zhang, Y. T., “A novel temporal fine structure-based speech synthesis model for cochlear implant,” Signal Processing, vol. 88 (11), pp. 2693–2699, 2008.

  139. Chen, F. and Zhang, Y. T., “An integrated-and-fire based auditory nerve model and its response to high-rate pulse train,” Neurocomputing, vol. 70 (4–6), pp.1051–1055, January 2007.

  140. Chen, F. and Zhang, Y. T., “A new implementation of discrete bionic wavelet transform: Adaptive tiling,” Digital Signal Processing, vol. 16 (3), pp. 233–246, May 2006.

  141. Chen, F. and Zhang, Y. T., “A DNA structure-based bionic wavelet transform and its application to DNA sequence analysis,” Applied Bionics and Biomechanics, vol. 1, pp. 3–9, 2003.

  142. Zhang, X. Y., Chen, F., Zhang, Y. T., Agner, S. C., Akay, M., Lu, Z. H., Waye, M. M. Y., and Tsui S. K. W., “Signal processing techniques in genomic engineering,” Proceedings of the IEEE, vol. 90, pp. 1822–1833, 2002.

  143. Ning, X. B., Chen, F., Jiang, Z. Y., Ma, Q. L., and Xie, Z. X., “The research on the application of fuzzy neural network analysis in myocardial ischemia’s diagnosis,” Journal of Nanjing University (Chinese), vol. 38, pp. 1–6, 2002.

  144. Wang, W., Chen, F., Ning, X. B., and Zhang, S. “One design of float DSP’s general serial communication interface circuit,” Manufacturing Automation (Chinese), vol. 24, pp.48–51, 2002.

  145. Chen, F., Ma, Q. L., Ning, X. B., Jiang, Z. Y., Liu, T. B., and Wu, M., “Design of electrocardiosignal workstation based on DSP-chip,” Microelectronics (Chinese), vol. 31, pp.150–152, 2001.

  146. Dong, W., Chen, F., and Ning, X. B., “Development of a bedside ECG data recording system,” Electronic Technique Application (Chinese), vol. 27, pp.19–21, 2001.

  147. Chen, F., Xu, J. K., and Qian, Z., “Multifunction telecommunication LSI MSM6889’s features and its application,” Electronic Technique (Chinese), vol. 27, pp.19–22, 2000.

  • Conference papers

  1. Chen, X. M., Ding, Y. T., Yan, N., Chen, C. S., and Chen, F., “Context-FFT: A context feed forward transformer network for EEG-based speech envelope decoding,” in Proceedings of the 16th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2024), Macau, 3-6 December 2024.

  2. Lin, G. J., Tsao, Y., and Chen, F., “A non-intrusive speech quality assessment model using Whisper and multi-head attention,” in Proceedings of the 16th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2024), Macau, 3-6 December 2024.

  3. Tang, L. W., Zheng, D. C., and Chen, F., “Iterative demographic attentional feature fusion-based CNN and Transformer network for accurate cuffless blood pressure estimation,” in Proceedings of the 16th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2024), Macau, 3-6 December 2024.

  4. Wang, X. Y., Ding, Y. T, and Chen, F., “Attention Mechanism-based Mandarin Speech Modalities Classification with EEG Signals,” in Proceedings of the 31st International Conference on Neural Information Processing (ICONIP 2024), Auckland, New Zealand, 2-6 December 2024.

  5. Li, H., Fang, Y., Zhang, X. L., Chen, F., and Gao, G. L., “Cross-attention-guided WaveNet for EEG-to-MEL spectrogram reconstruction,” in Proceedings of the 25th Annual Conference of the International Speech Communication Association (Interspeech 2024), Kos Island, Greece, 1-5 September 2024, pp. 2620–2624.

  6. Zezario, R., Chen, F., Fuh, C. S., Wang, H. M., and Tsao, Y., “Non-intrusive speech intelligibility prediction for hearing aids using Whisper and Metadata,” in Proceedings of the 25th Annual Conference of the International Speech Communication Association (Interspeech 2024), Kos Island, Greece, 1-5 September 2024, pp. 3844–3848.

  7. Ding, Y. T., and Chen, F., “TAnet: A new temporal attention network for EEG-based auditory spatial attention decoding with a short decision window,” in Proceedings of the 46th Annual International Conference of the IEEE-EMBS (EMBC 2024), Orlando, USA, 15-19 July 2024.

  8. Wang, X. Y., Lai, Y. H., and Chen, F., “Intended speech classification with EEG signals based on a temporal attention mechanism: A study of Mandarin vowels,” in Proceedings of the 46th Annual International Conference of the IEEE-EMBS (EMBC 2024), Orlando, USA, 15-19 July 2024.

  9. Li, M. T., Pun, S. H., and Chen, F., “Cross-paradigm data alignment to improve the calibration of asynchronous BCI systems in EEG-based speech imagery,” in Proceedings of the 46th Annual International Conference of the IEEE-EMBS (EMBC 2024), Orlando, USA, 15-19 July 2024.

  10. Li, C., Pun, S. H., and Chen, F., “EEG-based emotion recognition using graph attention network with dual-branch attention module,” in Proceedings of the 46th Annual International Conference of the IEEE-EMBS (EMBC 2024), Orlando, USA, 15-19 July 2024.

  11. Han, J. Y., Li, J. H., Yang, C. S., Chen, F., Liao, W. H., Lai, Y. H., “Leveraging deep learning to enhance optical microphone system performance with unknown speakers for cochlear implants,” in Proceedings of the 46th Annual International Conference of the IEEE-EMBS (EMBC 2024), Orlando, USA, 15-19 July 2024.

  12. He, S. J., Liu, J. J., Li, H., Yang, Y., Chen, F., and Zhang, X. L., “3S-TSE: Efficient three-stage target speaker extraction for real-time and low-resource applications,” in Proceedings of the 49th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024), Seoul, Korea, April 14-19, 2024, pp. 421–425.

  13. Fang, Y., Li, H., Zhang, X. L., Chen, F., and Gao, G. L., “Cross-attention-guided WaveNet for Mel spectrogram reconstruction in the ICASSP 2024 Auditory EEG Challenge,” in Proceedings of the 49 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW 2024), Seoul, Korea, April 14-19, 2024, pp. 7–8.

  14. Cui, W. Y., Wang, X. Y., Li, M. T., Pun, S. H., and Chen, F., “A study of deep learning based classification of Mandarin vowels using spoken speech EEG signals,” in Proceedings of the 13th IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC 2023), Zhengzhou, China, 14-18 November 2023.

  15. Ding, Y. T., Chen, C. S., and Chen, F., “PPG2BP: An end-to-end cuffless blood pressure estimation model using single channel photoplethysmography,” in Proceedings of the 13th IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC 2023), Zhengzhou, China, 14-18 November 2023.

  16. Liao, S. D., and Chen, F., “Assessing the effects of filtering processing on pulse wave transit time measured by photoplethysmography from earlobe,” in Proceedings of the 15th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2023), Taipei, 31 October-3 November 2023, pp. 1417–1421.

  17. Wang, X. Y., Li, M. T., Li, H., Pun, S. H., and Chen, F., “Cross-subject classification of spoken Mandarin vowels and tones with EEG signals: A study of end-to-end CNN with fine-tuning,” in Proceedings of the 15th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2023), Taipei, 31 October-3 November 2023, pp. 535–539.

  18. Hu, J. J., Liao, S. D., and Chen F., “The influence of scale-based chord representation in chord generation tasks,” in Proceedings of the 10th Conference on Sound and Music Technology (CSMT 2023), Guangzhou, China, 02-04 June 2023.

  19. Lung, H. Z., Liao, S. D., and Chen, F., “Linguistic release from masking in simulated electric hearing,” in Proceedings of the 20th International Congress of the Phonetic Sciences (ICPhS 2023), Prague, Czech Republic, 7-11 August 2023.

  20. Li, M. T., Pun, S. H., and Chen, F., “Impacts of cortical regions on EEG-based classification of lexical tones and vowels in spoken speech,” in Proceedings of the 45th Annual International Conference of the IEEE-EMBS (EMBC 2023), Sydney, Australia, 24-28 July 2023.

  21. Zhang, H. W., Guo, Z. Z., and Chen, F., “The effects of different brain regions on fNIRS-based task-state detection in speech imagery,” in Proceedings of the 45th Annual International Conference of the IEEE-EMBS (EMBC 2023), Sydney, Australia, 24-28 July 2023.

  22. Liao, S. D., Liu. Z. X., and Chen, F., “EEG-based objective quality assessment of the interrupted speech,” in Proceedings of the 45th Annual International Conference of the IEEE-EMBS (EMBC 2023), Sydney, Australia, 24-28 July 2023.

  23. Li, M. T., Liao, S. D., Pun, S. H., and Chen, F., “Effects of EEG analysis window location on classifying spoken Mandarin monosyllables,” in Proceedings of the 11th International IEEE EMBS Neural Engineering Conference (NER 2023), Baltimore, USA, 25-27 April 2023.

  24. Guo, Z. Z., Zhang, H. W., and Chen, F., “Impacts of imagined lexical tone on Mandarin speech imagery BCI performance,” in Proceedings of the 11th International IEEE EMBS Neural Engineering Conference (NER 2023), Baltimore, USA, 25-27 April 2023.

  25. Che, U. K., Liu, X., Yu, Y. Y., Wang, J. J., Pun, S. H., Chen, F., Mak, P. U., and Vai, M. I., “Fabrication of CMUTs using sacrificial release process with ashing assisted polysilicon release,” in Proceedings of International Conference on Biomedical and Intelligent Systems (IC-BIS 2022), Chengdu, China, 2022.

  26. Liao, S. D., and Chen, F., “Assessing the effect of temporal misalignment between the probe and processed speech signals on objective speech quality evaluation,” in Proceedings of the 13th International Symposium on Chinese Spoken Language Processing (ISCSLP 2022), Singapore, 11-14 December 2022, pp. 140–144.

  27. Wang, L., and Chen, F., “EEG-based auditory attention detection with estimated speech sources separated from an ideal-binary-masking process,” in Proceedings of the 14th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2022), Chiang Mai, Thailand, 7-10 November 2022, pp. 1542–1546.

  28. Wu, W. K., Liao, S. D., and Chen, F., “Effect of noise on the perceptual contribution of cochlea-scaled entropy and speech level in Mandarin sentence understanding,” in Proceedings of the 14th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2022), Chiang Mai, Thailand, 7-10 November 2022, pp. 1536–1541.

  29. Feng, Z. C., Tsao, Y., and Chen, F., “Preservation of interaural level difference cue in a deep learning-based speech separation system for bilateral and bimodal cochlear implants users,” in Proceedings of the 17th International Workshop on Acoustic Signal Enhancement (IWAENC 2022), Bamberg, Germany, 5-8 September 2022.

  30. Wang, Y. H., Liu, Z. X., and Chen, F., “An EEG-based study of auditory sensitivity in spatial hearing,” in Proceedings of the 17th International Workshop on Acoustic Signal Enhancement (IWAENC 2022), Bamberg, Germany, 5-8 September 2022.

  31. Zezario, R. E., Chen, F., Fuh, C. S., Wang, H. M., and Tsao, Y., “MBI-Net: A non-intrusive multi-branched speech intelligibility prediction model for hearing aids,” in Proceedings of the 23th Annual Conference of the International Speech Communication Association (Interspeech 2022), Incheon, Korea, 18-22 September 2022, pp. 3944–3948.

  32. Zezario, R. E., Fu, S. W., Chen, F., Fuh, C. S., Wang, H. M., and Tsao, Y., “MTI-Net: A multi-target speech intelligibility prediction model,” in Proceedings of the 23th Annual Conference of the International Speech Communication Association (Interspeech 2022), Incheon, Korea, 18-22 September 2022, pp. 5463–5467.

  33. Yi, G. X., Xiao, W., Xiao, Y. M., Naderi, B., Möller, S., Wardah, W., Mittag, G., Culter, R., Zhang, Z. H., Williamson, D., Chen, F., Yang, F. Z., and Shang, S. D., “ConferencingSpeech 2022 challenge: Non-intrusive objective speech quality assessment (NISQA) challenge for online conferencing applications,” in Proceedings of the 23th Annual Conference of the International Speech Communication Association (Interspeech 2022), Incheon, Korea, 18-22 September 2022, pp. 3308–3312.

  34. Liao, S. D., Liu, H. P., Zheng, D. C., and Chen, F., “Effect of filtering on pulse wave transit time measured by photoplethysmography,” in Proceedings of the 49th Annual Conference of Computing in Cardiology (CinC 2022), Tampere, Finland, 4-7 September 2022.

  35. Ye, F. Q., Liu, Z. X., and Chen, F., “Non-intrusive intelligibility prediction of noise-suppressed speech based on neural network” in Proceedings of the 31st Wireless and Optical Communications Conference (WOCC 2022), Shenzhen, China, 11-12 August 2022, pp. 171–174.

  36. Feng, Z. C., Tsao, Y., and Chen, F., “Recurrent neural network-based estimation and correction of relative transfer function for preserving spatial cues in speech separation,” in Proceedings of the 30th European Signal Processing Conference (EUSIPCO 2022), Belgrade, Serbia, 29 August - 2 September 2022, pp. 155–159.

  37. Pan, C. J., Liu, H. P., Zheng, D. C., and Chen, F., “Neural entrainment to rhythms of imagined syllables,” in Proceedings of the 44th Annual International Conference of the IEEE-EMBS (EMBC 2022), Glasgow, United Kingdom, 11-15 July 2022, pp. 4040–4043.

  38. Wu, H. D., Cai, J. Q., Zhang, H. Z., and Chen, F., “A correlational analysis between audiometric pure-tone averages and distortion product otoacoustic emissions,” in Proceedings of the 44th Annual International Conference of the IEEE-EMBS (EMBC 2022), Glasgow, United Kingdom, 11-15 July 2022, pp. 812–815.

  39. Hsiao, C. J., Chen, F., Han, J. Y., Zheng, W. Z., and Lai, Y. H., “A deep learning based approach to synthesize intelligible speech with limited temporal envelope information,” in Proceedings of the 44th Annual International Conference of the IEEE-EMBS (EMBC 2022), Glasgow, United Kingdom, 11-15 July 2022, pp. 1972–1976.

  40. Raghavendra, S., Chun, H., Lee, S., Chen, F., Martin, B. A., and Tan, C. T., “Cross-frequency coupling in cortical processing of speech,” in Proceedings of the 44th Annual International Conference of the IEEE-EMBS (EMBC 2022), Glasgow, United Kingdom, 11-15 July 2022, pp. 25–29.

  41. Raghavendra, S., Lee, S., Chen, F., Martin, B. A., and Tan, C. T., “Cortical entrainment to speech produced by cochlear implant users and normal-hearing talkers,” in Proceedings of the 44th Annual International Conference of the IEEE-EMBS (EMBC 2022), Glasgow, United Kingdom, 11-15 July 2022, pp. 3577–3581.

  42. Feng, Z. C., Tsao, Y., and Chen, F., “Estimation and correction of relative transfer function for binaural speech separation networks to preserve spatial cues,” in Proceedings of the 13th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2021), Tokyo, Japan, 14-17 December 2021, pp. 1239–1244.

  43. Liu, Z. X., Wang, Y. N., Yi, G. X., Yu, T., and Chen, F., “Assessing segmental impact for objective speech quality evaluation,” in Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2021), Mohonk Mountain House, New Paltz, USA, 17-20 October 2021, pp. 11–15.

  44. Pan, C. J., and Chen, F., “The effects of classification method and electrode configuration on EEG-based silent speech classification,” in Proceedings of the 43th Annual International Conference of the IEEE-EMBS (EMBC 2021), Guadalajara, Mexico, 31 October-4 November 2021, pp. 131–134.

  45. Feng, Y., and Chen, F., “Investigation of weighted scales for measuring visual fatigue in screen tasks,” in Proceedings of the 43th Annual International Conference of the IEEE-EMBS (EMBC 2021), Guadalajara, Mexico, 31 October-4 November 2021, pp. 5768–5771.

  46. Ji, N., Lin, W. H., Li, Y. H., Chen, F., Xu, L. S., and Li, G. L., “A pilot study of thermal effect of low-intensity focused ultrasound on blood pressure modulation,” in Proceedings of the 43th Annual International Conference of the IEEE-EMBS (EMBC 2021), Guadalajara, Mexico, 31 October-4 November, 2021, pp. 5690–5693.

  47. Li, J. W., Barma, S., Pun, S. H., Chen, F., Li, C., Li, M. T., Wang, P. K., Vai, M. I., Liu, W. S., Mak, P. U., “EEG-based emotion recognition using similarity measure of brain rhythm sequencing,” in Proceedings of the 43th Annual International Conference of the IEEE-EMBS (EMBC 2021), Guadalajara, Mexico, 31 October-4 November 2021, pp. 31–34.

  48. Wang, F., Chen, J., and Chen, F., “Effect of carrier bandwidth on understanding Mandarin sentences in simulated electric-acoustic hearing,” in Proceedings of the 22th Annual Conference of the International Speech Communication Association (Interspeech 2021), Brno, Czechia, 30 August-3 September 2021, pp. 611–615.

  49. Pan, C. J., Yang, F., and Chen, F., “Perceptual contributions of vowels and consonant-vowel transitions in understanding time-compressed Mandarin sentences,” in Proceedings of the 22th Annual Conference of the International Speech Communication Association (Interspeech 2021), Brno, Czechia, 30 August-3 September 2021, pp. 171–175.

  50. Li, M. T., Pun, S. H., and Chen, F., “Mandarin tone classification in spoken speech with EEG signals,” in Proceedings of the 29th European Signal Processing Conference (EUSIPCO 2021), Dublin, Ireland, 23-27 August 2021, pp. 1163–1166.

  51. Wu, H. D., Pan, C. J., Li, M. T., and Chen, F., “A method to map EEG signals to spoken speech using Gaussian process modeling,” in Proceedings of the 29th European Signal Processing Conference (EUSIPCO 2021), Dublin, Ireland, 23-27 August 2021, pp. 1140–1144.

  52. Fu, Z., Wang, B., Chen, F., Wu, X. H., and Chen, J., “Eye-gaze estimation with HEOG and neck EMG using deep neural networks,” in Proceedings of the 29th European Signal Processing Conference (EUSIPCO 2021), Dublin, Ireland, 23-27 August 2021, pp. 1261–1265.

  53. Li, M. T., Pun, S. H., and Chen, F., “A preliminary study of classifying spoken vowels with EEG signals,” in Proceedings of the 10th International IEEE EMBS Neural Engineering Conference (NER 2021), 4-6 May 2021, pp. 13–16.

  54. Pan, C. J., Liu, Z. X., and Chen, F., “Speech modality classification with cortical EEG signals,” in Proceedings of the 10th International IEEE EMBS Neural Engineering Conference (NER 2021), 4-6 May 2021, pp. 69–72.

  55. Li, C., Pun, S. H., and Chen, F., “An ERP study on the influence of lyric to song’s emotional state,” in Proceedings of the 10th International IEEE EMBS Neural Engineering Conference (NER 2021), 4-6 May 2021, pp. 933–936.

  56. Guo, Z. Z., Zhang, M. M., and Chen, F., “Characterizing significant brain activation region to spectrally-degraded music: a functional near-infrared spectroscopy study,” in Proceedings of the 10th International IEEE EMBS Neural Engineering Conference (NER 2021), 4-6 May 2021, pp. 205–208.

  57. Pan, C. J., and Chen, F., “Impact of mismatched spectral amplitude levels on vowel identification in simulated electric-acoustic hearing,” in Proceedings of the 12th International Symposium on Chinese Spoken Language Processing (ISCSLP 2021), Hong Kong, 24-26 January 2021.

  58. Wu, H. D., and Chen, F., “A temporal envelope-based speech reconstruction approach with EEG signals during speech imagery,” in Proceedings of the 12th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2020), Auckland, New Zealand, 7-10 December 2020, pp. 894–899.

  59. Li, H., and Chen, F., “Classify imaginary Mandarin tones with cortical EEG signals,” in Proceedings of the 21th Annual Conference of the International Speech Communication Association (Interspeech 2020), Shanghai, China, 25-29 October 2020, pp. 4896–4900.

  60. Wang, L., Wu, Ed X., and Chen, F., “Contribution of RMS-level-based speech segments to target speech decoding under noisy conditions,” in Proceedings of the 21th Annual Conference of the International Speech Communication Association (Interspeech 2020), Shanghai, China, 25-29 October 2020, pp. 121–124.

  61. Xu, D. Y., Zhu, S. F., Zheng, D. C., and Chen, F., “An ERP study on the auditory stream segregation in cochlear implant simulations: Effects of frequency separation and time interval,” in Proceedings of the 42th Annual International Conference of the IEEE-EMBS (EMBC 2020), Montreal, 20-24 July 2020, pp. 3260–3263.

  62. Luo, C. P., Pan, C. J., Zheng, D. C., and Chen, F., “Cortical characterization of reverberation time in reverberant speech,” in Proceedings of the 42th Annual International Conference of the IEEE-EMBS (EMBC 2020), Montreal, 20-24 July 2020, pp. 3314–3317.

  63. Zhang, X. Y., Li, H., and Chen, F., “EEG-based classification of imaginary Mandarin tones,” in Proceedings of the 42th Annual International Conference of the IEEE-EMBS (EMBC 2020), Montreal, 20-24 July 2020, pp. 3889–3892.

  64. Zheng, M. J., Lin, H., and Chen, F., “An fNIRS study on the effect of music style on cognitive activities,” in Proceedings of the 42th Annual International Conference of the IEEE-EMBS (EMBC 2020), Montreal, 20-24 July 2020, pp. 3200–3203.

  65. Lin, W. C., Tsao, Y., Chen, F., and Wang, H. M, “Investigation of neural network approaches for unified spectral and prosodic feature enhancement,” in Proceedings of the 11th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2019), Lanzhou, 2019, November 18-21, pp. 1179–1184.

  66. Ye, F. Q., Tsao, Y., and Chen, F., “Subjective feedback-based neural network pruning for speech enhancement,” in Proceedings of the 11th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2019), Lanzhou, 2019, November 18-21, pp. 673–677.

  67. Chen, F., “Contributions of consonant-vowel transitions to mandarin tone identification in simulated electric-acoustic hearing,” in Proceedings of the 20th Annual Conference of the International Speech Communication Association (Interspeech 2019), Graz, Austria, September 15-19, 2019, pp. 3138–3142.

  68. Chen, F., “Mandarin tone identification with F0-flattening processed single-vowels,” in Proceedings of the 19th International Congress of the Phonetic Sciences (ICPhS 2019), Melbourne, August 5-9, 2019.

  69. Xu, D. Y., Zheng, D. C., and Chen, F., “Studying the effect of carrier type on the perception of vocoded stimuli via mismatch negativity,” in Proceedings of the 41th Annual International Conference of the IEEE-EMBS (EMBC 2019), Berlin, July 23-27, 2019, pp. 3167–3170.

  70. Guo, Z. Z., Ma, T., and Chen, F., “Lateralization of processing spectrally-degraded music in the auditory cortex: An fNIRS study,” in Proceedings of the 41th Annual International Conference of the IEEE-EMBS (EMBC 2019), Berlin, July 23-27, 2019, pp. 2981–2984.

  71. Feng, Y., Wang, L., and Chen, F., “An eye-tracking based evaluation on the effect of far-infrared therapy for relieving visual fatigue,” in Proceedings of the 41th Annual International Conference of the IEEE-EMBS (EMBC 2019), Berlin, July 23-27, 2019, pp. 313–316.

  72. Liu, H. P., Leung, T., Wong, A., Chen, F., and Zheng, D. C., “The geometric effects on the stress of arterial atherosclerotic plaques: A computational study,” in Proceedings of the 41th Annual International Conference of the IEEE-EMBS (EMBC 2019), Berlin, July 23-27, 2019, pp. 6948–6951.

  73. Liu, H. P., Wang, L., Chan, K. L., Xiong, L., Leng, X. Y., Shi, L., Leung, T., Chen, F., and Zheng, D. C., “The application of non-linear flow resistance in cerebral artery: Compared with Windkessel model based on genetic algorithm,” in Proceedings of the 41th Annual International Conference of the IEEE-EMBS (EMBC 2019), Berlin, July 23-27, 2019, pp. 2285–2289.

  74. Akbarzadeh, S., Lee, S. M, Tan, C. T., and Chen, F., “The effect of perceived sound quality of speech in noisy speech perception by normal hearing and hearing impaired listeners,” in Proceedings of the 41th Annual International Conference of the IEEE-EMBS (EMBC 2019), Berlin, July 23-27, 2019, pp. 3119–3122.

  75. Han, Y. Y., and Chen, F., “Minimum audible movement angle in virtual auditory environment: Effect of stimulus frequency”, in Proceedings of the IEEE 2nd International Conference on Multimedia Information Processing and Retrieval (MIPR 2019), San Jose, March 28-30, 2019, pp. 175–178.

  76. Yu, F., Tan, C. T., and Chen, F., “Analyzing auditory evoked cortical response to noise-suppressed speech in cochlear implant users using mismatch negativity,” in Proceedings of the 9th International IEEE EMBS Neural Engineering Conference (NER 2019), San Francisco, March 20-23, 2019, pp. 365–368.

  77. Guo, Z. Z., Ma, Heather T., and Chen, F., “Effects of grip-load force and muscle fatigue on fNIRS signal during handgrip voluntary contraction task,” in Proceedings of the 9th International IEEE EMBS Neural Engineering Conference (NER 2019), San Francisco, March 20-23, 2019, pp. 510–513.

  78. Wang, L., Wu, Ed. X., and Chen, F., “Cortical tracking of vocoded speech streams with a competing speaker based on attentional selection,” in Proceedings of the 9th International IEEE EMBS Neural Engineering Conference (NER 2019), San Francisco, March 20-23, 2019, pp. 1151–1154.

  79. Wang, L., and Chen, F., “Visual information affects auditory frequency discrimination with random stimulus sequences: Evidence from ERPs,” in Proceedings of the 11th International Symposium on Chinese Spoken Language Processing (ISCSLP 2018), Taipei, November 26-29, 2018, pp. 161–164.

  80. Yu, F., Tan, C. T., and Chen, F., “An ERP study to evaluate the quality of speech processed by Wiener filtering,” in Proceedings of the 11th International Symposium on Chinese Spoken Language Processing (ISCSLP 2018), Taipei, November 26-29, 2018, pp. 225–229.

  81. Chen, F., and Chen, S. X., “Compensating the effect of signal-processing delay on objective intelligibility prediction,” in Proceedings of the 23rd International Conference on Digital Signal Processing (DSP 2018), Shanghai, November 19-21, 2018.

  82. Akbarzadeh, S., Heydarzadeh, M., Chen, F., Lee, S. M, and Tan, C. T., “Reducing the variability in auditory evoked response to pitch matched stimuli using wavelet scattering transform,” in Proceedings of the 23rd International Conference on Digital Signal Processing (DSP 2018), Shanghai, November 19-21, 2018.

  83. Gui, Y. H., Chen, F., Murray, A., and Zheng, D. C., “Effect of respiration on the characteristic ratios of oscillometric pulse amplitude envelope in blood pressure measurement,” in Proceedings of the 40th Annual International Conference of the IEEE-EMBS (EMBC 2018), Honolulu, July 17-21, 2018, pp. 3646–3649.

  84. Xu, D. Y., Wang, L., and Chen, F., “An ERP study on the combined-stimulation advantage in vocoder simulations,” in Proceedings of the 40th Annual International Conference of the IEEE-EMBS (EMBC 2018), Honolulu, July 17-21, 2018, pp. 2442–2445.

  85. Wang, L., Tsao, Y., and Chen, F., “Congruent visual stimulation facilitates auditory frequency change detection: An ERP study,” in Proceedings of the 40th Annual International Conference of the IEEE-EMBS (EMBC 2018), Honolulu, July 17-21, 2018, pp. 2446–2449.

  86. Hao, D. M., Zhou, Y. N., Gao, P., Yang, L., Yang, Y. M., and Chen, F., “Simulation study on coil design for transcranial magnetic stimulation,” in Proceedings of the 40th Annual International Conference of the IEEE-EMBS (EMBC 2018), Honolulu, July 17-21, 2018, pp. 2174–2177.

  87. Li., K. Y., Zhang, S., Chi., Z. Y., Yang, Y. M., Jiang, H. Q., Yang, L., Wang, A. R., Zhang, L., Chen, F., and Zheng, D. C., “Arterial pulse waveform characteristics difference between the three trimesters of healthy pregnant women,” in Proceedings of the 40th Annual International Conference of the IEEE-EMBS (EMBC 2018), Honolulu, July 17-21, 2018, pp. 5317–5320.

  88. Lee, W. J., Wang, S. S., Chen, F., Lu, X. G., Chien, S. Y., Tsao, Y., “Speech dereverberation based on integrated deep and ensemble learning algorithm,” in Proceedings of the 43th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018), Calgary, April 15-20, 2018, pp. 5454–5458.

  89. Song, M. J., Chen, F., Wu, X. H., Chen, J., “A time-weighted method for predicting the intelligibility of speech in the presence of interfering sounds,” in Proceedings of the 43th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018), Calgary, April 15-20, 2018, pp. 5589–5593.

  90. Zhu, M. X., et al., “Contraction patterns of neck muscles during phonating by high-density surface electromyography,” in Proceedings of the 2018 IEEE International Conference on Cyborg and Bionic Systems (CBS 2018), Shenzhen.

  91. Wang, L., Liu, Z. X., and Chen, F., “Perceptual roles of temporal and segmentation cues in single-channel noise reduction processing,” in Proceedings of the 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2017), Kuala Lumpur, December 12-15, 2017, pp. 778–785.

  92. Liu, Z. X., Ma, Heather T., and Chen, F., “A new data-driven band-weighting function for predicting the intelligibility of noise-suppressed speech,” in Proceedings of the 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2017), Kuala Lumpur, 2017, December 12-15, pp. 492– 496.

  93. Gui, Y. H., Chen, F., Murray, A., and Zheng, D. C., “Pulse interval modulation-based method to extract the respiratory rate from oscillometric cuff pressure waveform during blood pressure measurement,” in Proceedings of the 44rd Annual Conference of Computing in Cardiology (CinC 2017), Rennes, 2017, 44: 1–4.

  94. Wang, L. and Chen, F., “Factors affecting the intelligibility of low-pass filtered speech,” in Proceedings of the 18th Annual Conference of the International Speech Communication Association (Interspeech 2017), Stockholm, 2017, pp. 563–566.

  95. Wang, S. Y. and Chen, F., “Phonetic restoration of temporally reversed speech,” in Proceedings of the 18th Annual Conference of the International Speech Communication Association (Interspeech 2017), Stockholm, 2017, pp. 567–570.

  96. Wang, L. and Chen, F., “Effects of background noise and tonal target stimulus on human auditory evoked potential,” in Proceedings 10th International Symposium on Chinese Spoken Language Processing (ISCSLP 2016), Tianjin, October 17-20, 2016, pp. 1–4.

  97. Wang, L. and Chen, F., “Assessing the segmental contribution to the non-intrusive intelligibility prediction of noise-suppressed speech,” in Proceedings of the 15th International Workshop on Acoustic Signal Enhancement (IWAENC 2016), Xi’an, September 13-16, 2016, pp. 1–4.

  98. Chen, D. L., Chen, F., Murray, A., and Zheng, D. C., “Phase difference between respiration signal and respiratory modulation signal from oscillometric cuff pressure pulses during blood pressure measurement,” in Proceedings of the 43rd Annual Conference of Computing in Cardiology (CinC 2016), Vancouver, 2016, pp.1013–1016.

  99. Pei, K., Chen, F., and Zheng, D. C., “Effect of autonomic cardiac modulation on speech perception in noise,” in Proceedings of the 43rd Annual Conference of Computing in Cardiology (CinC 2016), Vancouver, 2016,pp. 521–524.

  100. Chen, F. and Fogerty, D., “Factors affecting the intelligibility of sine-wave speech,” in Proceedings of the 17th Annual Conference of the International Speech Communication Association (Interspeech 2016), San Francisco, September 8-12, 2016, pp. 1692–1695.

  101. Fogerty, D. and Chen, F., “Vowel fundamental and formant frequency contributions to English and Mandarin sentence intelligibility”, in Proceedings of the 17th Annual Conference of the International Speech Communication Association (Interspeech 2016), San Francisco, September 8-12, 2016, pp. 1382–1386.

  102. Chen, F., “Modeling noise influence to speech intelligibility non-intrusively by reduced speech dynamic range,” in Proceedings of the 17th Annual Conference of the International Speech Communication Association (Interspeech 2016), San Francisco, September 8-12, 2016, pp. 1359–1362.

  103. Liu, J., Tong, R., and Chen, F., “Understanding interrupted Mandarin speech,” in Proceedings of the 17th Annual Conference of the International Speech Communication Association (Interspeech 2016), San Francisco, September 8-12, 2016, pp. 1687–1691.

  104. Wang, L., Zhu, S. F., Chen, D. L., Feng, Y., and Chen, F., “Relative contributions of amplitude and phase to the intelligibility of IdBM-processed sentences,” in Proceedings of the 17th Annual Conference of the International Speech Communication Association (Interspeech 2016), San Francisco, September 8-12, 2016, pp. 136–139.

  105. Guan, T., Chu, G.X., Chen, F. and Yang, F., “Assessing level-dependent segmental contribution to the intelligibility of speech processed by single-channel noise-suppression algorithms,” in Proceedings of the 17th Annual Conference of the International Speech Communication Association (Interspeech 2016), San Francisco, September 8-12, 2016, pp. 122–125.

  106. Chen, F. and Chiao, C. L. B, “Comparing the contributions of amplitude and phase to speech intelligibility with a vocoder-based speech synthesis model,” in Proceedings of the 17th Annual Conference of the International Speech Communication Association (Interspeech 2016), San Francisco, September 8-12, 2016, pp. 1355–1358.

  107. Zhuge, H. M., Wang, L., Chen, F., and Zheng, D. C., “Assessing the effect of noise-suppression to the intelligibility of low-pass filtered speech,” in Proceedings of the 38th Annual International Conference of the IEEE-EMBS (EMBC 2016), Orlando, August 16-20, 2016, pp. 4563–4566.

  108. Chen, D. L., Chen, F., Murray, A., Zheng, D. C., “A method for extracting respiratory frequency during blood pressure measurement, from Oscillometric cuff pressure pulses and Korotkoff sounds recorded during the measurement,” in Proceedings of the 38th Annual International Conference of the IEEE-EMBS (EMBC 2016), Orlando, August 16-20, 2016, pp. 4268–4271.

  109. Wang, L, Chen, F., and Lai, Y. H., “Segmental contribution to predicting speech intelligibility in noisy conditions,” in Proceedings of the 2nd IEEE International Conference on Multimedia Big Data, Taipei, 2016, pp. 476–480.

  110. Chen, F., “Improving the prediction power of the speech-transmission index to account for non-linear distortions introduced by noise-reduction algorithms,” in Proceedings of the 16th Annual Conference of the International Speech Communication Association (Interspeech 2015), Dresden, September 6-10, 2015, pp. 2573–2577.

  111. Chen, F. and Kwok, A. S. T., “Segmental contribution to the intelligibility of ideal binary-masked sentences,” in Proceedings of the 16th Annual Conference of the International Speech Communication Association (Interspeech 2015), Dresden, 2015, September 6-10, pp. 3404–3407.

  112. Lai, Y. H., Chen, F., and Tsao, Y., “Effect of adaptive envelope compression in simulated electric hearing in reverberation,” in Proceedings of the International Symposium on Integrated Circuits (ISIC 2014), Singapore, 2014, pp. 204–207.

  113. Tahmina, Q., Chen, F., and Hu, Y., “Perceptual contribution of vowels and consonants to sentence intelligibility by cochlear implant users,” in Proceedings of the International Symposium on Integrated Circuits (ISIC 2014), Singapore, 2014, pp. 200–203.

  114. Chen, F. and Lau, A. H. Y., “Effect of vocoder type to Mandarin speech recognition in cochlear implant simulation,” in Proceedings of the 9th International Symposium on Chinese Spoken Language Processing (ISCSLP 2014), Singapore, September 12-14, 2014, pp. 551–554.

  115. Chen, F., Wong, S. W. K., and Wong, L. L. N., “Effect of spectral degradation to the intelligibility of vowel sentences,” in Proceedings of the 15th Annual Conference of the International Speech Communication Association (Interspeech 2014), Singapore, September 14-18, 2014, pp. 2002–2005.

  116. Chen, F. and Hu, Y., “Objective quality evaluation of noise-suppressed speech: Effects of temporal envelope and fine-structure cues,” in Proceedings of the 15th Annual Conference of the International Speech Communication Association (Interspeech 2014), Singapore, September 14-18, 2014, pp. 2055–2058.

  117. Fogerty, D. and Chen, F., “Vowel spectral contributions to English and Mandarin sentence intelligibility,” in Proceedings of the 15th Annual Conference of the International Speech Communication Association (Interspeech 2014), Singapore, September 14-18, 2014, pp. 499–503.

  118. Lai, Y. H., Chen, F., and Tsao, Y., “An adaptive envelope compression strategy for speech processing in cochlear implants,” in Proceedings of the 15th Annual Conference of the International Speech Communication Association (Interspeech 2014), Singapore, September 14-18, 2014, pp. 481–484.

  119. Lin, P. T., Chen, F., Wang, S. S., Tsao, Y., and Lai, Y. H., “Automatic speech recognition with primarily temporal envelope information,” in Proceedings of the 15th Annual Conference of the International Speech Communication Association (Interspeech 2014), Singapore, September 14-18, 2014, pp. 476–480. 

  120. Chen, F. and Guan, T., “Non-intrusive intelligibility prediction for Mandarin speech in noise,” in Proceedings of the IEEE TenCon 2013 conference, Xi’an, October 22-25, 2013.

  121. Chen, F., Li, J. F., Wong, L. L. N., and Yan, Y. H., “Effect of linguistic masker on the intelligibility of Mandarin sentences”, in Proceedings of the 14th Annual Conference of the International Speech Communication Association (Interspeech 2013), Lyon, August 25-29, 2013, pp. 2099–2102.

  122. Li, J. F., Chen, F., Akagi, M., and Yan, Y. H., “Comparative investigation of objective speech intelligibility prediction measures for noise-reduced signals in Mandarin and Japanese”, in Proceedings of the 14th Annual Conference of the International Speech Communication Association (Interspeech 2013), Lyon, August 25-29, 2013, pp. 1184–1187.

  123. Chen, F., Guan, T., and Wong, L. L. N., “Effect of temporal fine structure on speech intelligibility modeling,” in Proceedings of the 35th Annual International Conference of the IEEE-EMBS (EMBC 2013), Osaka, July 3-7, 2013, pp. 4199–4202.

  124. Chen, F. and Wong, L. L. N., “Contributions of the high-RMS-level segments to the intelligibility of Mandarin sentences,” in Proceedings of the 38th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), Vancouver, May 26-31, 2013, pp. 7810–7814. 

  125. Chen, F., Guan, T., and Wong, L. L. N., “Effects of excitation spread on the intelligibility of Mandarin speech in cochlear implant simulations,” in Proceedings of the 8th International Symposium on Chinese Spoken Language Processing (ISCSLP 2012), Hong Kong, December 5-8, 2012, pp. 35–39.

  126. Chen, F. and Loizou, P. C., “Speech enhancement using a frequency-specific composite Wiener function,” in Proceedings of the 35th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2011), Dallas, March 14-19, 2010, pp. 4726–4729.

  127. Chen, F. and Zhang, Y. T., “Zerocrossing-based fine structure representation to convey Mandarin tonal information: A study on the noise effect,” in Proceedings of the 30th Annual International Conference of the IEEE-EMBS (EMBC 2008), Vancouver, 2008, pp. 343–346.

  128. Chen, F. and Zhang, Y. T., “A new acoustic model incorporating temporal fine structure cue for cochlear implant,” in Proceedings of the 5th International Conference on Information Technology in Biomedicine (ITAB 2006), Greece, 2006.

  129. Chen, F. and Zhang, Y. T., “Loudness normalization for cochlear implant using pulse-rate modulation to convey Mandarin tonal information: A model-based study,” in Proceedings of the 28th Annual International Conference of the IEEE-EMBS (EMBC 2006), New York, 2006, pp. 1236–1239.

  130. Chen, F. and Zhang, Y. T., “An efficient algorithm to reconstruct heart rate signal based on an IPFM model for the spectral analysis of HRV,” in Proceedings of the 27th Annual International Conference of the IEEE-EMBS (EMBC 2005), Shanghai, 2005, pp. 936–939.

  • Conference abstracts

  1. Huang, W. T., L. L. N. Wong, and Chen, F., “Fundamental frequency processing in Mandarin-speaking children with cochlear implants as revealed by the peak latency of positive mismatch response (p-MMR),” in 2021 Conference on Implantable Auditory Prostheses (CIAP), virtual, 2021.

  2. Yi, Z. Y., Zhao, Y. J., Liu, Y. L., Gao, Y., Lyu, M. Y., Chen, F., and Wu, E. X, “Fast calibrationless image-space reconstruction by structured low-rank tensor estimation of coil sensitivity and spatial support,” in the 29th Annual Meeting of ISMRM, virtual, 15-20 May 2021.

  3. Hu, J. H., Liu, Y. L., Yi, Z. Y., Zhao, Y. J., Chen, F., and Wu, E. X, “Adaptive multi-contrast MR image denoising based on a residual u-net using noise level map,” in the 29th Annual Meeting of ISMRM, virtual, 15-20 May 2021.

  4. Yi, Z. Y., Liu, Y., Chen, F., and Wu, Ed X., “A novel compressed sensing multi-slice cartesian MRI via alternating phase encoding directions for acceleration and flexible sampling,” in the 28th Annual Meeting of ISMRM, virtual, 08-14 August 2020, p. 3448.

  5. Zhao, Y., Yi, Z. Y., Liu, Y., Chen, F, and Wu, Ed X. “Calibration-free highly accelerated multi-slice MRI via alternating phase encoding directions and low-rank tensor completion reconstruction,” in the 28th Annual Meeting of ISMRM, virtual, 08-14 August 2020, p. 3473.

  6. Wu, X., Yi, Z. Y., Liu, Y., Chen, F, and Wu, Ed X. “Joint calibrationless multi-slice multi-echo parallel imaging reconstruction for abdominal T2* mapping,” in the 28th Annual Meeting of ISMRM, virtual, 08-14 August 2020, p. 892.

  7. Yi, Z. Y., Liu, Y., Zhao, Y., Chen, F., Wu, E. X., “Joint calibrationless reconstruction of highly undersampled multi-contrast MR datasets using a novel low-rank completion approach,” in the 27th Annual Meeting of ISMRM, Montréal, Québec, Canada, May 11-16, 2019. p. 4746.

  8. Wang, L., Dong, C. M., Leong, A. T., Wang, X., Ho, L. C., Chan, R. W., Chen, F., and Wu, E. X. “Modulation of resting state networks after slow and periodic visual stimulation in humans,” in the 25th Annual Meeting of ISMRM, Honolulu, USA, April 22-27, 2017.

  9. Huang, W. T., L. L. N. Wong, Chen, F., “Just-noticeable differences of fundamental frequency change in Mandarin-speaking children with cochlear implants,” in the 177th Meeting of the Acoustical Society of America (ASA), Louisville, KY, USA, May 13-17, 2019.

  10. Huang, W. T., L. L. N. Wong, Chen, F., “Effects of F0 contour on sentence perception in mandarin-speaking children with cochlear implants,” in the 31th Annual Conference of American Academy of Audiology (AAA), Columbus, OH, March 27-30, 2019.

  11. Yu, F., Tan, C. T., and Chen, F., “Mismatch negativity (MMN) in response to noise-suppressed speech as perceived by cochlear implant users,” in the 10th International Symposium on Objective Measures in Auditory Implants (OMAI), Tel Aviv, 2018.

  12. Tse, M. M. S., Ma, E. P. M., and Chen, F., “The effects of background noise on speech intelligibility in Cantonese-speaking dysphonic and non-dysphonic adults,” in Hong Kong Speech and Hearing Symposium 2018, Hong Kong, November 1-4, 2018.

  13. Chen, F., “Importance of fundamental frequency contour to assistive hearing devices for Chinese-speaking hearing-impaired users” in 2017 International Conference on Complex Medical Engineering (CME), Shenzhen, November 22-26, 2017.

  14. Chen, F., “Perceptual contribution of fundamental frequency contour and its implication to assistive hearing devices for Chinese-speaking hearing-impaired users,” in the 1st International Workshop on Challenges in Hearing Assistive Technology (CHAT-2017), Stockholm, August 19, 2017.

  15. Chen, F., “Contribution of low-frequency residual hearing to Mandarin speech recognition in cochlear implants”, in the 10th International Conference on Computational Physics, Macao, January 16-20, 2017.

  16. Chen, F., “Contributions of lexical tone contour, vowel and consonant for Mandarin sentence intelligibility,” in the 9th Asia Pacific Conference of Speech, Language and Hearing (APCSLH), Guangzhou, October 9-11, 2015.

  17. Lin, P. T., Chen, F., Wang, S. S., and Tsao, Y., “Importance of tonal envelope in Chinese automatic speech recognition,” in 2015 Conference on Implantable Auditory Prostheses (CIAP), California, 2015.

  18. Zhu, S. F., Wong, L. L. N., and Chen, F., “Consonant discrimination by Mandarin-speaking children with prelingually hearing impairment,” in the 10th Asia Pacific Symposium on Cochlear Implant and Related Sciences (APSCI), Beijing, April 30-May 3, 2015.

  19. Chen, F., “Mandarin speech perception in adverse listening conditions,” in the 10th Asia Pacific Symposium on Cochlear Implant and Related Sciences (APSCI), Beijing, April 30-May 3, 2015.

  20. Zhu, S., Wong, L. L. N., and Chen, F., “Tone identification in Mandarin-speaking children with profound hearing impairment,” in the XXXII World Congress of Audiology (WCA), Brisbane, Australia, May, 2014.

  21. Chen, F., “Segmental contribution to the intelligibility of noise-suppressed speech,” in the 169th Meeting of the Acoustical Society of America (ASA), Pittsburgh, J. Acoust. Soc. Am., vol. 137 (2), pp. 2271, 2015.

  22. Chen, F., “Effect of spectral amplitude elevation for vowel identification in simulated combined electric-and-acoustic hearing,” in the 169th Meeting of the Acoustical Society of America (ASA), Pittsburgh, J. Acoust. Soc. Am., vol. 137 (2), pp. 2206, 2015.

  23. Chen, F., Guan, T., Wong, L. L. N., and Hu, Y., “Evaluation of objective measures for predicting the intelligibility of noise-suppressed speech by cochlear implant users,” in 2013 Conference on Implantable Auditory Prostheses (CIAP), California, 2013.

  24. Chen, F., Wong, L. L. N., and Wong, E. Y. W., “Perceptual contribution of vowel sub-segments to Mandarin tone identification,” in the 166th Meeting of the Acoustical Society of America (ASA), San Francisco, J. Acoust. Soc. Am., vol. 134 (5), pp. 4230, 2013.

  25. Chen, F. and Wong, L. L. N., “Predicting the speech reception thresholds with physical metrics,” in the 166th Meeting of the Acoustical Society of America (ASA), San Francisco, J. Acoust. Soc. Am., vol. 134 (5), pp. 4229, 2013.

  26. Chen, F. and Loizou, P. C., “Modeling speech intelligibility by cochlear implant users,” in 2011 Conference on Implantable Auditory Prostheses (CIAP), California, 2011.

  27. Loizou, P. C., Hazrati, O., Yousefian, N., Kokkinakis, K., and Chen, F., “Channel selection: A panacea for the background interference problem in cochlear implants,” in 2011 Conference on Implantable Auditory Prostheses (CIAP), California, 2011.

  28. Chen, F., Hu, Y. and Loizou, P. C., “Contribution of information carried by weak constants in simulated acoustic-electric hearing,” in 2009 Conference on Implantable Auditory Prostheses (CIAP), California, 2009.
 


Last modified: 2024-12-18 by Fei Chen