Professor. Ying-Hui Lai (賴穎暉 教授)

Department of Biomedical Engineering,

National Yang Ming Chiao Tung University

Tel: +886-2-28267021           Email: yh.lai@nycu.edu.tw

↠Biography:

賴穎暉老師於 2013 年取得博士學位，專攻聲學信號處理，並且應用於聽覺與溝通輔具的開發。他在 2010 年至 2012 年期間加入明展生醫，擔任助聽器研發工程師，期間共完成八項助聽器產品開發並順利上市。於 2013 年，他加入中央研究院資訊創新科技中心，擔任博士後研究員。後來，他在 2015 年獲中央研究院評選為院聘級博士後研究員（當年通過率 29%）。他的博士後研究涵蓋助聽器補償架構等主題，並且延伸至語音轉換、噪音消除演算法、人工電子耳和人工智慧等領域。在 2016 年，他加入元智大學電機系擔任專任助理教授，在 2017 年回到母系陽明交通大學醫工系擔任助理教授，於 2021 年 8 月升任副教授; 隨後，於2024年8月1日升等教授。

從 2013 年至今，他已發表超過 100 篇國際學術期刊及會議論文，並取得 10項專利，同時完成 12 項產學研究計畫及5件技術轉移案。過去期間，賴老師實驗室獲得國科會肯定執行了四年期的半導體射月計畫。於計畫中主要是透過 AI 技術來開發語音轉換系統，進一步提升構音障礙患者的語音清晰度，而本次申請之計畫為其射月計畫之精進發展方向。他的研究成果在 2018 至 2024 年間多次獲得國家新創獎的肯定，並於學術競賽中獲獎，其包含「2023 全球復健工程與輔具科技學生創新挑戰賽（Global Student Innovation Challenge - Rehabilitation Engineering and Assistive Technology）金牌獎」、「AI 中技社競賽佳作」，以及「美律電聲論文獎的銅質、銀質和評審推薦獎」等;此外，賴老師也於 2022及2024年獲得未來科技獎之鼓勵。近期，賴老師的一篇光學麥克風聲學研究論文獲得美國物理學聯合會科學之光（AIP Scilight）的推薦報導。有鑑於他過去的研究經驗，他將持續投入聽語科學、聽覺與溝通輔具、語音及生理信號處理等相關研究領域的工作。 

Dr. Ying-Hui Lai received his Ph.D. in 2013, specializing in acoustic signal processing and its application in the development of auditory and communication assistive devices. From 2010 to 2012, he worked as a hearing aid R&D engineer at Medimaging Integrated Solution, successfully completing the development and commercialization of eight hearing aid products. In 2013, he joined the Research Center for Information Technology Innovation at Academia Sinica as a postdoctoral researcher. Later, in 2015, he was selected as a prestigious Academia Sinica Postdoctoral Research Fellow, with an acceptance rate of only 29% that year. His postdoctoral research covered hearing aid compensation frameworks and extended into fields such as voice conversion, noise cancellation algorithms, cochlear implants, and artificial intelligence. In 2016, he joined the Department of Electrical Engineering at Yuan Ze University as a full-time assistant professor, and in 2017, he returned to the Department of Biomedical Engineering at National Yang Ming Chiao Tung University, where he was promoted to associate professor in August 2021. Subsequently, on August 1, 2024, he was promoted to full professor.

Since 2013, Dr. Lai has published over 100 international academic journal and conference papers, acquired 7 patents, and completed 12 industry-academia research projects and 5 technology transfer cases. His laboratory was recognized by the National Science and Technology Council (Taiwan) for executing a four-year moon-shot project (AI on edge computing), primarily focused on developing speech transformation systems through AI technology to enhance speech clarity for individuals with dysarthria.  Leveraging his extensive research experience, Dr. Lai continues to contribute to the fields of auditory science, auditory and hearing aids, and speech and physiological signal processing.

SBP實驗室研究介紹影片網址:

https://mditc.nycu.edu.tw/autopage_detail/3/28

https://www.youtube.com/watch?v=LqpiE0tALkA

↠Education:

Ph. D. in the Department of Biomedical Engineering, National Yang-Ming University (2013.06).

B. S. in Department of Industrial Education, National Taiwan Normal University (2006.6).

↠Research Interests:

1. Hearing and speech science  (聽語科學)

• Hearing aid and Cochlear implant  (助聽器與人工電子耳)。
• Communication assistive device (溝音障礙溝通輔具)。

• Acoustic event detection (聲音事件偵測)。
• Electroacoustic measurement of hearing aids (聽覺輔具聲電效益量測)。
• Hearing screening (聽力篩查)。

1. Bio-signal processing (生理信號處理)。

• Human motion tracking (人體動作追蹤)。
• Detection of Pathological Voice (病理聲音檢測)。

2. Artificial intelligence (人工智慧)

↠Work Experiences:

1. R&D engineer in Aescu Technology Inc. (2010.1~2012.6)
2. Postdoctoral fellow in Research Center for Information Technology Innovation, Academia Sinica. (2013.09-2016.08)
3. Assistant Prof. in the Department of Electrical Engineering, Yuan Ze University. (2016.09-2017.07)
4. Assistant Prof. in the Department of Biomedical Engineering, National Yang-Ming University (2017.08~Now)

↠Professional Activity:

     Visiting Scholar:

1. 2016.07: Southern University of Science and Technology, China (Visiting scholar).
2. 2015.03: National Institute of Information and Communications Technology (NICT), Spoken Language Communication Group, Japan. (Visiting scholar).
3. 2014.05-06: Division of speech and hearing sciences, Hong Kong University, China (Visiting scholar)。

     Invited Talks:

1. Speech signal processing workshop, 2016.03.18.

-Title: Improvement of the speech intelligibility for cochlear implantees by the adaptive compression strategy and deep learning based noise reduction approaches. (http://speech.ee.ntu.edu.tw/sws2016/#agenda)

2. 2016 International Conference for Top and Emerging Computer Scientists, 2016.12.25.

-Title: Performance improvement for assistive hearing devices based on the machine learning technology. (http://www.apscit.org/ic-tecs2016-overview)

3. ELTICOM 2016, 2016.08.29.

-Title: Performance improvement for assistive hearing devices based on the machine learning technology. (http://elticom2016.ee.cycu.edu.tw/program)

4. The 10th International Conference on Computational Physics (ICCP10), 2017.1.17.

- Title: Improvement the SNR performance of speech enhancement for hearing aid users based on adaptive compression strategy. (http://www.iccpx.org/TechnicalProgram/1303.html).

     Reviewer:

1. IEEE Transaction on Audio Speech and Language Processing.
2. IEEE Transactions on Biomedical Engineering.
3. International Journal of Machine Learning and Cybernetics.
4. Biomedical Signal Processing & Control.
5. Asia-Pacific Signal and Information Processing Association.
6. Springer Plus.
7. IEEE BigMM.
8. Speech Communication
9. Computational and Mathematical Methods in Medicine
10. Journal of Information Science and Engineering

     Conference Services:

1. International Conference on Biomedical and Health Informatics 2019 (ICBHI 2019), Publicity Committee.
2. International Symposium on Chinese Spoken Language Processing 2018 (ISCSLP 2018), demonstration chairs.
3. Rocling 2018, Program Committee.
4. International Symposium on Chinese Spoken Language Processing 2017 (ISCSLP 2017), special session chairs.
5. Rocling 2017, Session chair.
6. Speech signal processing workshop 2015, Academia Sinica, Taiwan, technical program co-chair.

↠Awards:

1. 2018 15th National Innovation Award (國家新創獎)-以深度學習噪音消除法改善人工電子耳植入者之語音辨識度
2. 2019 5th World Invention Innovation Contest (WiC)- Gold Medal and Semi-Grand award. (2019 韓國發展獎-金牌與大會特別獎)
3. 2019 16th National Innovation Award (國家新創獎)-智能聽力檢測應用系統應用於潛藏性聽損
4. 2019 16th National Innovation Award (國家新創獎)-基於多模態學習模型的新世代聲紋把脈技術
5. 2019 16th National Innovation Award (國家新創獎-新創精進獎)-以深度學習噪音消除法改善人工電子耳植入者之語音辨識度

↠Publications:

     Journal:

1. Ying-Hui Lai, Pei-Chun Li, Kuen-Shian Tsai, Woei-Chyn Chu, Shuenn-Tsong Young*, “Measuring the Long-Term SNRs of Static and Adaptive Compression Amplification Techniques for Speech in Noise,” Journal of the American Academy of Audiology, (24), 671-683, 2013. (SCI)
2. Ying-Hui Lai, Tien-Chen Liu, Pei-Chun Li, Wan-Ting Shih, Shuenn-Tsong Young, “Development and preliminary verification of a Mandarin-based hearing aid fitting strategy, ” PLoS ONE, (8), e80831, 2013. (SCI)
3. Ying-Hui Lai, Yu. Tsao*, and Fei Chen, “A Study of Adaptive WDRC in Hearing Aids under Noisy Conditions,” International Journal of Speech & Language Pathology and Audiology, 1(2), 43-51, 2013. (invited paper)
4. Ying-Hui Lai, Shih-Tsang Tang, Kuen-Shian Tsai, Hsiu-Wen Chang, Shuenn-Tsong Young* and Woei-Chyn Chu, “Objective measurement of speech quality for hearing aids, ” Journal of Medical and Biological Engineering, 33(6), 576-582, 2013. (SCI)
5. Ying-Hui Lai, Yu Tsao*, Fei Chen,, “Effects of adaptation rate and noise suppression on the intelligibility of compressed-envelope based speech,” PLoS ONE, 10.1371, journal.pone.0133519, July 2015. (SCI)
6. Yu Tsao*, and Ying-Hui Lai, “Generalized maximum a posteriori spectral amplitude estimation for speech enhancement,” Speech Communication, 76, 112-126, 2015. (SCI)
7. Syu-Siang Wang, Alan Chern, Yu Tsao, Jeih-weih Hung, Xugang Lu, Ying-Hui Lai, Borching Su*, “Wavelet Speech Enhancement based on Nonnegative Matrix Factorization,” IEEE Signal Processing Letters, 23(8), 1101-1105, 2016. (SCI)
8. Tien-En Chen, Shih-I Yang, Li-Ting Ho, Kun-Hsi Tsai, Yu-Hsuan Chen,Yun-Fan Chang, Ying-Hui Lai, Yu Tsao*, Chau-Chung Wu*, “S1 and S2 Heart Sound Recognition using Deep Neural Networks,” IEEE Transactions on Biomedical Engineering, 64(2), 372-380, 2016. (SCI)
9. Fei Chen, Yu Tsao, and Ying-Hui Lai, “Modeling speech intelligibility with recovered envelope from temporal fine structure stimulus,” Speech Communication, 81, 120-128, 2016. (SCI)
10. Payton Lin, Szu-Wei Fu, Syu-Siang Wang, Ying-Hui Lai and Yu Tsao*, “Maximum Entropy Learning with Deep Belief Networks”, Entropy, 18(7), 251; doi:10.3390/e18070251,2016. (SCI)
11. Hsiao-Lan S Wang, I-Chen Chen, Chun-Han Chiang, Ying-Hui Lai, and Yu Tsao*, “Auditory Perception, Suprasegmental Speech Processing, and Vocabulary Development in Chinese Preschoolers,” Perceptual and motor skills, 123.2, 365-382, 2016. (SCI)
12. Ying-Hui Lai, Fei Chen, Syu-Siang Wang, Xugang Lu, Yu Tsao*, and Chin-Hui Lee, “A Deep Denoising Autoencoder Approach to Improving the Intelligibility of Vocoded Speech in Cochlear Implant Simulation”, IEEE Transactions on Biomedical Engineering, 64, 1568-1578, 2017. (SCI)
13. Szu-Wei Fu, Pei-Chun Li, Ying-Hui Lai, Cheng-Chien Yang, Li-Chun Hsieh, and Yu Tsao*, “Joint Dictionary Learning-based Non-Negative Matrix Factorization for Voice Conversion to Improve Speech Intelligibility After Oral Surgery”, IEEE Transactions on Biomedical Engineering, 64, 2584-2594, 2017. (SCI)
14. Alan Chern, Ying-Hui Lai, Yi-Ping Chang,Yu Tsao, Ronald Y. Chang and Hsiu-Wen Chang*. A Smartphone-Based Multi-Functional Hearing Assistive System to Facilitate Speech Recognition in the Classroom. IEEE Access (5), 10339-10351, 2017. (SCI)
15. Jen-Cheng Hou, Syu-Siang Wang, Ying-Hui Lai, Yu Tsao*, Hsiu-Wen Chang, and Hsin-Min Wang, "Audio-visual Speech Enhancement using Multimodal Deep Convolutional Neural Networks," IEEE Transactions on Emerging Topics in Computational Intelligence,  2, 117-128, 2018.
16. Yu-Cheng Lin, Ying-Hui Lai, Hsiu-Wen Chang, Yu Tsao,Yi-ping Chang, and Ronald Y. Chang*, “A Smartphone-Based Remote Microphone Hearing Assistive System Using Wireless Technologies,” IEEE Systems Journal, 12, 20-29, 2018. (SCI)
17. Shih-Hau Fang, Yu Tsao, Min-Jing Hsiao, Ji-Ying Chen, Ying-Hui Lai, Feng-Chuan Lin, Chi-Te Wang*. Detection of Pathological Voice Using Cepstrum Vectors: A Deep Learning Approach. Journal of voice, available online March 2018. (SCI) (2019年國家新創獎)
18. Ying-Hui Lai, Yu Tsao, Xugang Lu, Fei Chen, Yu-Ting Su, Kuang-Chao Chen, Yu-Hsuan Chen, Li-Ching Chen, Lieber Po-Hung Li*, and Chin-Hui Lee. Deep Learning based Noise Reduction Approach to Improve Speech Intelligibility for Cochlear Implant Recipients. Ear and Hearing, 39, 795-809, 2018. (SCI) (2018年國家新創獎)
19. Ying-Hui Lai* and Wei-Zhong Zheng. Multi-objective learning based speech enhancement method to increase speech quality and intelligibility for hearing aid device users. Biomedical Signal Processing and Control, 48, 35-45, 2019.  (SCI)
20. Yuan-Chia Chu,Yen-Fu Cheng, Ying-Hui Lai, Yu Tsao,Tzong-Yang Tu, Shuenn Tsong Young, Tzer-Shyong Chen, Yu-Fang Chung, Feipei Lai,Wen-Huei Liao*, "A Smartphone-Based Approach for Hearing Screening of School-age Children: A Prospective Study", JMIR mHealth and uHealth, 2019.  (SCI) (2019年國家新創獎)
21. Ying-Hui Lai*, Syu-Siang Wang, Chien-Hsun Chen, and Sin-Hua Jhang, "Adaptive Wiener gain to Improve Sound Quality on Nonnegative Matrix Factorization-based Noise Reduction System", IEEE Access, 7, 43286-43297, 2019. (SCI)
22. Cheng-Yu Ho, Pei-Chun Li, Shuenn-Tsong Young, Ying-Hui Lai*, “Efficacy of a Smartphone Hearing Aid Simulator”, Journal of Medical and Biological Engineering, 1-9, 2020. (SCI)
23. Chi-Te Wang, Ji-Yan Han, Shih-Hau Fang, Ying-Hui Lai, Ying-Hui Lai*, “Ambulatory Phonation Monitoring with Wireless Microphones based on Speech Energy Envelope”, JMIR mHealth and uHealth, 8(12), e16746, 2020. (SCI)
24. Heng-Yu Haley Lin1, Yuan-Chia Chu, Ying-Hui Lai, Hsiu-Lien Cheng, Feipei Lai, Yen-Fu Cheng, Wen-Huei Liao*, “A Smartphone-Based Approach to Screening for Sudden Sensorineural Hearing Loss: A Cross-sectional Validity Study”, JMIR mHealth and uHealth, 8 (11), 2020. (SCI)
25. Wen-Huei Liao, Yen-Fu Cheng, Yen-Chi Chen, Ying-Hui Lai, Feipei Lai, Yuan-Chia Chu*, “Physician decision support system for idiopathic sudden sensorineural hearing loss patients”, Journal of the Chinese medical association, 84(1), 101-107, 2020. (SCI)
26. Yu-Yi Lin, Wei-Zhong Zheng, Wei Chung Chu, Ji-Yan Han, Ying-Hsiu Hung, Guan-Min Ho, Chia-Yuan Chang and Ying-Hui Lai*, “A speech command control-based recognition system for dysarthric patients based on deep learning technology”, Applied sciences-Basel, 11(6), 2477, 2021. (SCI)
27. Lieber Po-Hung Li, Ji-Yan Han, Wei-Zhong Zheng, Ren-Jie Huang, Ying-Hui Lai*, “Improved Environment-Aware–Based Noise Reduction System for Cochlear Implant Users Based on a Knowledge Transfer Approach: Development and Usability Study”, Journal of Medical Internet Research, 23(10), e25460, 2021. (SCI)
28. Kai-Yu Chen,Li-Wei Chou, Hui-Min Lee ,Shuenn-Tsong Young ,Cheng-Hung Lin ,Yi-Shu Zhou ,Shih-Tsang Tang and Ying-Hui Lai*, "Human motion tracking using 3d image features with a long short-term memory mechanism model—an example of forward reaching. Sensors, 22(1), 292, 2021. (SCI)
29. Chih-Hao Chen,Chii-Yuan Huang,Hsiu-Lien Cheng,Heng-Yu Haley Lin,Yuan-Chia Chu,Chun-Yu Chang,Ying-Hui Lai, Mao-Che Wang* and Yen-Fu Cheng*,"Smartphone-Enabled versus Conventional Otoscopy in Detecting Middle Ear Disease: A Meta-Analysis." Diagnostics, 12(4), 972, 2022. (SCI)
30. Wei-Zhong Zheng, Ji-Yan Han, Chen-Kai Lee,Yu-Yi Lin, Shu-Han Chang, and Ying-Hui Lai*, “Phonetic posteriorgram-based voice conversion system to improve speech intelligibility of dysarthric patients.”, Computer Methods and Programs in Biomedicine, 215, 106602, 2022. (SCI)
31. Yu-Min Lin, Ji-Yan Han, Wei-Zhong Zheng, Yi-Chieh Lin, Cheng-Hung Lin, and  Ying-Hui Lai*, "Study of optical-based speech acquisition system using vibration signals from speakers' medical masks", JASA Express Letters, 2(5), 055202, 2022. The paper has been selected for inclusion in the American Institute of Physics (AIP) Scilight (https://aip.scitation.org/doi/10.1063/10.0012195). (SCI)
32. Hsiu-Lien Cheng, Ji-Yan Han, Yuan-Chia Chuc, Yen-Fu Cheng, Chia-Mei Lin, Ming-Chang Chiang, Shang-Liang Wu, Ying-Hui Lai*, Wen-Huei Liao, “Evaluating the hearing screening effectiveness of active noise cancellation technology among young adults: A pilot study”, Journal of the Chinese Medical Association, 86.1: 105-112, 2023. (SCI)
33. Chih-Hao Chen, Chii-Yuan Huang, Hsiu-Lien Cheng, Heng-Yu Haley Lin, Yuan-Chia Chu, Chun-Yu Chang, Ying-Hui Lai, Mao-Che Wang, Yen-Fu Cheng*, “Comparison of personal sound amplification products and conventional hearing aids for patients with hearing loss: A systematic review with meta-analysis”, EClinicalMedicine, 46, 101378, 2022. (SCI)
34. Hsiu-Lien Cheng, Ji-Yan Han, Wei-Zhong Zheng, Yen-Fu Cheng, Yuan-Chia Chu, Chia-Mei Lin, Ming-Chang Chiang, Wen-Huei Liao*, Ying-Hui Lai*, “Objective signal analysis approach to investigate the feasibility of active noise cancellation technology for hearing screening application”, Sensors, 22.1: 292, 2022. (SCI)
35. Yun Hsia, Yu-Yi Lin, Bo-Sin Wang, Chung-Yen Su, Ying-Hui Lai*, and Yi-Ting Hsieh*, “Prediction of Visual Impairment in Epiretinal Membrane and Feature Analysis - A Deep Learning Approach Using Optical Coherence Tomography”, Asia-Pacific Journal of Ophthalmology, 12(1):21-28, 2022. (SCI)
36. Heng-Yu Haley Lin#, Hoi-Shan Lai#, Chii-Yuan Huang, Chih-Hao Chen, Shang-Liang Wu, Yuan-Chia Chu, Yu-Fu Chen, Ying-Hui Lai#, Yen-Fu Cheng* (# Co-first author),  “Smartphone-Bundled Earphones as Personal Sound Amplification Products: Laboratory and Clinical Performance Assessments among Individuals with Hearing Loss”, iScience,25,12, 105436, 2022. (SCI)
37. Wei-Zhong Zheng, Ji-Yan Han, Hsiu-Lien Cheng, Wei-Chung Chu, Ko-Chiang Chen and Ying-Hui Lai*, “Comparing the performance of classic voice-driven assistive systems for dysarthric speech”, Biomedical Signal Processing and Control, 81, 104447, 2022. (SCI)
38. Ji-Yan Han, Ching-Ju Hsiao , Wei-Zhong Zheng , Ko-Cheng Weng , Guan-Min Ho , Chia-Yuan Chang , Chi-Te Wang , Shih-Hau Fang , and Ying-Hui Lai*, “Enhancing the performance of pathological voice quality assessment system through the attention-mechanism based neural network”, Journal of voice, 2023. (SCI)
39. Lin-I Hsu, Kai-Wen Lim, Ying-Hui Lai, Chen-Sheng Chen  and Li-Wei Chou*, “Effects of Muscle Fatigue and Recovery on the Neuromuscular Network after an Intermittent Handgrip Fatigue Task: Spectral Analysis of Electroencephalography and Electromyography Signals”, Sensors, 23(5), 2440, 2023. (SCI)
40. Ji-Yan Han, Chi-Te Wang, Jia-Hui Li, and Ying-Hui Lai*, “Ambulatory phonation monitoring using wireless headphones with deep learning technology”, IEEE Systems Journal, 17(3), 4752 - 4762, 2023. (SCI)
41. Yu-Min Lin, Ji-Yan Han, Cheng-Hung Lin and Ying-Hui Lai*, “Optical Microphone-based Speech Reconstruction System with Deep Learning for Individuals with Hearing Loss”, IEEE Transactions on Biomedical Engineering 70(12):3330-3341, 2023.
42. Wei-Zhong Zheng, Ji-Yan Han, Chen-Yu Chen, Yuh-Jer Chang and  Ying-Hui Lai*, “Improving the Efficiency of Dysarthria Voice Conversion System based on Data Augmentation”, IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2023:31:4613-4623, 2023.
43. Yuh-Jer Chang, Ji-Yan Han, Wei-Chung Chu, Lieber Po-Hung Li, and Ying-Hui Lai*, “Enhancing music recognition using deep learning-powered source separation technology for cochlear implant users”, The Journal of the Acoustical Society of America, 155(3):1694-1703, 2024.
44. Pei-Yun Lin, Ying-Hsuan Chen, Yuh-Jer Chang, Jia-Wei Chen, Tsung-Tse Ho, Tai-Chuan Shih, Chih-Hung Ko and Ying-Hui Lai* , “Deep learning for schizophrenia classification based on natural language processing—A pilot study”, Schizophrenia Research, 270: 323-324, 2024.
45. Chieh-Sin Hsu, Ji-Yan Han, Ying-Hui Lai and Chi-Te Wang, “Ambulatory Phonation Monitoring Using Wireless Bluetooth Earphones”, Journal of Voice, 2024.
46. Lieber Po-Hung Li, Shao-Chun He, Quoc-Thinh Dinh, Yi-Cin Wu, Wei-Yu Chen, Wei-Chun Chen, Ying-Hui Lai and Cheng-Yang Liu, “Miniaturized Fabry-Perot fiber-optic microphone based on capillary tube and hydrogel diaphragm”, Optics & Laser Technology, 185, 112582, 2025.
47. Jia-Wei Chen, Jia-Hui Li, Yi-Hao Jiang, Yi-Chang Wu and Ying-Hui Lai*, “Enhancing speech intelligibility in optical microphone systems through physics-informed data augmentation”, JASA Express Letters, 5(4), 04520, 2025.
48. Lin-I Hsu, Kai-Wen Lim, Ying-Hui Lai, Yin-Liang Lin, Chen-Sheng Chen, Li-Wei Chou*, “Turns-amplitude and power spectral analyses of surface EMG for assessing muscle fatigue and recovery during dynamic hand gripping”, Computers in Biology and Medicine, 193, 110430, 2025.
49. Ji-Yan Han; Po-Hsun Huang; Ruei-Ci Shen; Cheng-Yang Liu; Lieber Po-Hung Li; An-Suey Shiao and Ying-Hui Lai*, “A data augmentation approach for an automatic speech recognition system using laser Doppler vibrometer technology”, JASA Express Letters, 5(5), 054801, 2025.
50. Hsiu-Lien Cheng#, Ying-Hui Lai#, Po-Hsun Huang and Wen-Huei Liao*, “Optimized Active Noise Cancellation for Hearing Tests Using Auditory Masking Characteristics”, in IEEE Journal of Translational Engineering in Health and Medicine, 2025. (共同第1作者)
51. Ting-So Chang, Chen-you Liu, Ying-Hui Lai, Ming Kuei Hsueh, Ren-Guey Lee, “Improving OSA diagnosis: An AI-powered approach for analyzing DISE videos to assess obstruction site and severity”, Journal of the Formosan Medical Association, 2026.
52. Hsu-Hang Yeh, Po-Yung Chou, Cheng-Chang Hsieh, Ying-Hui Lai, Yi-Ting Hsieh, Cheng-Hung Lin, “Multistream Deep Learning Models Using Multimodal Optical Coherence Tomography for Predicting Visual Impairment in Epiretinal Membrane”, in American Journal of Ophthalmology, 2026.
53. Yu-Chuan Lee, Wei-Zhong Zheng, Jia-Wei Chen, Yi-Hao Jiang, Yen-Fu Cheng and Ying-Hui Lai*, “Speaker-dependent laser Doppler vibrometer–based voice conversion for dysarthric speech under noisy conditions”, in JASA Express Letters, 2026.
54. Yu-Zhu Liang, Hui-Tzu Hsieh, Chi-Te Wang, Ying-Hui Lai*, “Optical microphone-based deep learning techniques for voice disorder diagnosis”, Biomedical Signal Processing and Control, 2026, 119: 109818.
55. Kuo-Wei Chao, Ji-Yan Han, Jia-Wei Chen, Yi-Chieh Lin, Ying-Hui Lai*, “Single-point optical-vibration sensing system for deep-learning-based stereo sound synthesis”, The Journal of the Acoustical Society of America, 2026,  160, 1011–1023.

     Conference Papers (International): 部份研討會論文收錄於Engineering Index (EI)

57. Ying-Hui Lai, Yang-Ming Jhou and Sheunn-Tsong Young*, “Development and achievement of hearing-aid fitting strategy based on loudness model,” New Orlenans, Acoustical Society of American, 122, 3062, 2007.
58. Ying-Hui Lai,, Shuenn-Tsong Young*, Tien-Chen Liu*, Wan-Ting Shih, “Comparison of subjective and objective outcomes in hearing aid users prescribed with Aescu HRL-1 and NAL-NL1 formulas,” Appear in 2nd East Asian Symposium on Otology (EASO), Taipei, Taiwan, 2010.
59. Ying-Hui Lai,, Shuenn-Tsong Young*, Tien-Chen Liu, Kuen-Shian Tsai and Wan-Ting Shih, “A New Hearing Aid Fitting Rationale Based On Loudness Normalization And Acoustic Features Of Mandarin,” Boston, AudiologyNOW, 2012.
60. Ying-Hui Lai, Yu-Cheng Su, Yu Tsao, Shuenn-Tsong Young*, “Evaluation of Generalized Maximum a Posteriori Spectral Amplitude (GMAPA) Speech Enhancement Algorithm in Hearing Aids,” in Proc. IEEE International Symposium on Consumer Electronics, 245-246, 2013. (EI)
61. Payton Lin, Fei Chen, Syu Siang Wang, Ying-Hui Lai, Yu Tsao*, “Automatic speech recognition with primarily temporal envelope information,” in Proc. IEEE Interspeech 2014, September 2014. (EI)
62. Ying-Hui Lai, Fei Chen, Yu Tsao*, “An adaptive envelope compression strategy for speech processing in cochlear implants,”  in Proc. IEEE Interspeech 2014, 2014. (EI)
63. Ying-Hui Lai,, Fei Chen, Yu Tsao*, “Effect of adaptive envelope compression in simulated electric hearing in reverberation,”  in Proc. IEEE International Symposium on Integrated Circuits (ISIC), 204-207, 2014. (EI)
64. Ying-Hui Lai, Syu-Siang Wang, Pei-Chun Li, and Yu Tsao*, “A discriminative post-filter for speech enhancement in hearing aids,” in Proc. IEEE ICASSP 2015, 5868-5872, 2015. (EI)
65. Syu-Siang Wang, Hsin-Te Hwang, Ying-Hui Lai, Yu Tsao*, Xugang Lu, Hsin-Min Wang and Borching Su, “Improving denoising auto-encoder based speech enhancement with the speech parameter generation algorithm,” in Proc. IEEE Asia-Pacific Signal and Information Processing Association, 2015. (EI)
66. Ying-Hui Lai, Chien-Hsun Chen, Shih-Tsang Tang, Zong-Mu Yeh, and Yu Tsao*, “Improving the Performance of Noise Reduction in Hearing Aids Based on the Genetic Algorithm”, in Proc. IFMBE, 57, 209-214, 2016. (EI)
67. Lei Wang, Fei Chen, Ying-Hui Lai, “Segmental Contribution to Predicting Speech Intelligibility in Noisy Conditions”, in Proc. IEEE Second International Conference on Multimedia Big Data, 2016. (EI)
68. Ying-Hui Lai, Shih-Tsang Tang, Pei-Chun Li*, “Post-filtering Technique Using Band Importance Function for Speech Intelligibility Enhancement”, in Proc. IEEE Second International Conference on Multimedia Big Data, April 2016. (EI)
69. C.L. Chen, C.Y. Lin, H.Y. Ho, W.K. Lee, Ying-Hui Lai, and Shih-Tsang Tang*, “A Cloud Structure Rehabilitation Assistant for Articulation Disorder Children,” The 5th International Congress on Engineering and Information (ICEAI 2016), 2016.
70. Ying-Hui Lai, Syu-Siang Wang, Yu-Ting Su, Han-Che Cheng, Kang-Fu Fan and Yu Tsao, “Improving the Performance of Speech Perception in Noisy Environment Based on an FAME Strategy”, in Proc. ISCSLP, 1-5, 2016. (EI)
71. Jen-Cheng Hou, Syu-Siang Wang, Ying-Hui Lai, Jen-Chun Lin, Yu Tsao*, Hsiu-Wen Chang, and Hsin-Ming Wang, "Audio-Visual Speech Enhancement using Deep Neural Networks,” in Proc. IEEE Asia-Pacific Signal and Information Processing Association, 2016. (EI)
72. Ying-Hui Lai, Chun-Hao Wang, Shi-Yan Hou, Bang-Yin Chen, Yu Tsao, Yi-Wen Liu*, “DCASE report for task 3: sound event detection in real life audio,” in IEEE Detection and Classification of Acoustic Scenes and Events (DCASE) challenge, September 2016, Budapest, Hungary 2016. (https://www.cs.tut.fi/sgn/arg/dcase2016/documents/challenge_technical_reports/Task3/Liu_2016_task3.pdf)
73. Yi-Chiao Wu, Hsin-Te Hwang, Syu-Siang Wang, Chin-Cheng Hsu, Ying-Hui Lai, Yu Tsao*, Hsin-Min Wang, “A locally linear embbeding based postfiltering approach for speech enhancement,” in Proc. IEEE ICASSP 2017. (EI)
74. Chia-Lung Wu, Hsiang-Ping Hsu, Syu-Siang Wang, Jeih-Weih Hung, Ying-Hui Lai, Hsin-Min Wang, Yu Tsao*, "Wavelet Speech Enhancement Based on Robust Principal Component Analysis",  in Proc. IEEE Interspeech, 2017.
75. Syu-Siang Wang , Yu Tsao*, Hsiao-Lan Sharon Wang , Ying-Hui Lai , and Lieber Po-Hung Li, "A Deep Learning based Noise Reduction Approach to Improve Speech Intelligibility for Cochlear Implant Recipients in the Presence of Competing Speech Noise",  in Proc. IEEE APSIPA 2017, November 2017.
76. Po-Hsun Chang, Ying-Hui Lai, Sung-Ling Yeh, Wan-Chun Chiu, Pei-Chun Li, Shih-Tsang Tang*, “Customized Dietary Management System” 2018 International Conference on Engineering and Natural Science (ICENS 2018), Jan. 30‒Feb. 1 2018, Premier Hotel Tsubaki Sapporo, Sapporo, Japan.
77. Jun-Hsiang Liao, Ying-Hui Lai, Tsorng-Lin Chia, Chia-Yen Yang, Hsin-Chang Lo, Chi-Fen Chang, Shih-Tsang Tang*, “Rapid Screening for Parkinson’s Disease Using Vocal Features”, 2018 International Conference on Engineering and Natural Science (ICENS 2018), Jan. 30‒Feb. 1 2018, Premier Hotel Tsubaki Sapporo, Sapporo, Japan.
78. Ying-Hui Lai*, Wei-Zhong Zheng, Shih-Tsang Tang, Shih-Hau Fang, Wen-Huei Liao, and Yu Tsao, "Improving the performance of hearing aids in noisy environments based on deep learning technology",  in Proc. IEEE  EMBC, 2018.  (EI)
79. Ying-Hui Lai*, Hsiu-Wei Yeh, Syu-Siang Wang, Yu Tsao, Guan-Min Ho, Tay-Jyi Lin, Chia-Yuan Chang, Pei-Chun Li, Ching-Wei Yeh, Tien-Fu Chen and Jinn-Shyan Wang, “A Deep Learning-based Voice Conversion System for Dysarthria Speaker”, in the American Speech-Language-Hearing Association (ASHA), 2018.
80. Ren-Jie Huang, Andrew Wei-yen Lee, Wei-Zhon Zheng, Shih-Tsang Tang and Ying-Hui Lai*, “A combined model with compensation and noise reduction function by deep learning technology for hearing aid users”, in the 21st International Conference on Mechanics in Medicine and Biology ,2018.
81. Sheng-Jun Zhong, Pei-Chun Li, Woei-Chyn Chu, Shih-Tsang Tang, Sin-Hua Jhang and Ying-Hui Lai*, “Rubbing-Noise-Reduction Approach for Body-Worn Hearing-Aid Users Based on Deep-Learning Technology”, in the Global Conference on Biomedical Engineering (GCBME)2018.
82. Ko-Chiang Chen, Ji-Yan Han, Sin-Hua Jhang and Ying-Hui Lai*, “A study of speech phase in dysarthria voice conversion system”, in International Conference on Biomedical and Health Informatics, 219-226, 2019. (EI)
83. Peng-Jen Chen, Tsung-Lun Wu, Tay-Jyi Lin, Ying-Hui Lai, Tsung-Liang Wu, and Chingwei Yeh, “Life Period Estimation of Stamping Process Using Punch Sounds and Deep Neural Network”,  in Proc. IEEE  Conference on Industrial Electronics and Applications (ICIEA),625-628, 2019.
84. Ko-Chiang Chen, Hsiu - Wei Yeh, Ji Yan Han, Sin-Hua Jhang, Zheng Wei, Zhong, Ying-Hui Lai*, “A joint-feature learning-based voice conversion system for dysarthric user based on deep learning technology”,   in Proc. IEEE  EMBC, 2019. (EI)
85. Ying-Hsiu Hung, Ko-Chiang Chen, Ji Yan Han, Guan-Min Ho, Chia-Yuan Chang, Ying-Hui Lai*, “Speech Command Recognition for Dysarthric Speakers based on Deep Learning Approach: A Pilot Study”,  in IEEE EMBC, 2019.  
86. Yi-Shu Zhou, Wei-Zhong Zheng, Shih-Tsang Tang, Ying-Hui Lai*, “ Human Motion Tracking for Rehabilitation Basing on the 3D Image Features: A Pilot Study”, in IEEE EMBC, 2019.  
87. Chen Kai Lee, Ko-Chiang Chen, Sin-Hua Jhang and Ying-Hui Lai*, “Voice Conversion System for Dysarthric Speakers Based on Convolutional Neural Network Approach”,   in IEEE EMBC, 2019.  
88. Han-Chi Hsieh, Wei-Zhong Zheng, Ko-Chiang Chen and  Ying-Hui Lai*, “Consonant classification in Mandarin based on the depth image feature: a pilot study”, in Proc. IEEE Interspeech, 2300-2304, 2019.
89. Shih-Tsang Tang*, Chun-Hwei Tai, Ying-Hui Lai, and Tsung-Chieh Lee. “Accelerometer-Based Gait Analysis for Patients with Parkinson’s Disease”, Movement Disorders (Nice, France), 34(S2), S928–929, 2019.
90. Yi-Ying Kao, Hsiang-Ping Hsu, Kuo-Hsuan Hung, Shih-Kuang Lee, Ying-Hui Lai, Chen-Yu Chiang, Yu Tsao*, “A study on attention-based objective function in deep denoising autoencoder based speech enhancement”, The Journal of the Acoustical Society of America, 146(4), 2794-2794, 2019.
91. Kai-Yu Chen, Wei-Zhong Zheng, Yu-Yi Lin, Shih-Tsang Tang, Li-Wei Chou, and Ying-Hui Lai*, “Deep-learning-based human motion tracking for rehabilitation applications using 3D image features”, in Proc. IEEE EMBC, 2020.
92. Chia-Mei Lin, Wen-Hui Liao, Yu Tsao, Yen-Fu Cheng, Yuan-Chia Chu and  Ying-Hui Lai*, “Improving the accuracy of the Ear Scale app in noisy conditions with active noise cancellation technology”, in IEEE EMBC, 2020.
93. Bo-Sin Wang, Yu-Yi Lin, Yi-Ting Hsieh, Chung-Yen Su, and Ying-Hui Lai*, “Study of Deep Learning Approach to Predict the Visual Acuity using Optical Coherence Tomography Images”, IEEE EMBC, 2020.
94. Wei-Zhong Zheng, Syu-Siang Wang, Chen Chen-Yu, Han Chi-Yan, Yu Tsao, and Ying-Hui Lai*, “Study of Voice Conversion Technology for Dysarthric Speech Based on Deep Learning Technology: A Pilot Study”, IEEE EMBC, 2020.
95. Chen-Yu Chen, Wei-Zhong Zheng , Syu-Siang Wang, Yu Tsao, Pei-Chun Li and Ying-Hui Lai*, “Enhancing Intelligibility of Dysarthric Speech Using Gated Convolutional-based Voice Conversion System” , in Proc. IEEE Interspeech, 4686-4690, 2020.
96. Yi-Chieh Lin, Ji-Yan Han, Yu-Min Lin, Wei-Zhong Zheng and Ying-Hui Lai*, “A larynx vibration feature-based speech synthesis system with noncontact laser microphone”, in Proc. Joint Conference on Medical Informatics in Taiwan 2021.
97. Yi-Chieh Lin, Ji-Yan Han, Yu-Min Lin, Wei-Zhong Zheng, Shuenn-Tsong Young and Ying-Hui Lai*, “Speech reconstruction from the larynx vibration feature captured by laser-doppler vibrometer sensor”, in Proc. IEEE APSIPA, 829-835, 2021.
98. Changjie Pan, Ying-Hui Lai, Fei Chen*, “ The effects of classification method and electrode configuration on EEG-based silent speech classification”, in Proc.  IEEE EMBC, 2021.
99. Ching-Ju Hsiao, Ji Yan Han, Wei-Zhong Zheng, Guan-Min Ho, Chia-Yuan Chang, Ying-Hui Lai*, ”Performance enhancement of a pathological voice quality evaluation system using a self-attention model”, IEEE EMBC, 2021.
100. Wei-Chung Chu, Ying-Hsiu Hung, Wei-Zhong Zheng and Ying-Hui Lai*, “Data Augmentation Technology for Dysarthria Assistive Systems.” The 33rd Conference on Computational Linguistics and Speech Processing (ROCLING), 2021.
101. Tsung-Tse Ho, Pei-Chun Li, Ying-Hui Lai*, “Increasing the Communication Efficiency for the Tracheostomy Patients Based on Natural Language Processing Technology.” 2021 WACBE Taiwan Chapter, 2021.
102. Yu-Min Lin, Ji-Yan Han, Yi-Chieh Lin, Ying-Hui Lai*, “Novel Speech Acquisition System for Medical Applications via Optical Microphone Technology.” 2021 WACBE Taiwan Chapter, 2021.
103. Syu-Siang Wang,Yu Tsao, Wei-Zhong Zheng,Hsiu-Wei Yeh,Pei-Chun Li,Shih-Hau Fang and Ying-Hui Lai*, "Dysarthric Speech Enhancement Based on Convolution Neural Network", IEEE EMBC, 2022.
104. Ching-Ju Hsiao, Fei Chen, Ji-Yan Han, Wei-Zhong Zheng and Ying-Hui Lai*, "A Deep Learning Based Approach to Synthesize Intelligible Speech with Limited Temporal Envelope Information" in Proc. IEEE EMBC, 2022.
105. Yu-Ching Chung, Ji-Yan Han, Bo-Sin Wang, Wei-Zhong Zheng, Kung-Yao Shen and Ying-Hui Lai*, "An Audio-Visual Speech Enhancement System Based on 3D Image Features: An Application in Hearing Aids", in Proc. IEEE APSIPA, 2023.
106. Kuo-Wei Chao, Wen-Huei Liao, Chan-Shan Yang, and Ying-Hui Lai*, A Study of Stereo Audio Synthesis System from Single-Point Laser Doppler Vibrometer via Deep Learning Technology, 2023 TSBME.
107. Ji-Yan Han, Jia-Hui Li, Chan-Shan Yang, Fei Chen, Wen-Huei Liao, Yuan-Fu Liaoand Ying-Hui Lai*, “Leveraging Deep Learning to Enhance Optical Microphone System Performance with Unknown Speakers for Cochlear Implants”, in Proc.  IEEE EMBC, 2024.
108. Xinyu Wang, Ying-Hui Lai, Fei Chen*, “Intended Speech Classification with EEG Signals Based on a Temporal Attention Mechanism: A Study of Mandarin Vowels”, in Proc.  IEEE EMBC, 2024.
109. Yi-Hao Jiang, Jia-Hui Li, Jia-Wei Chen, Yi-Chang Wu and Ying-Hui Lai*, “Overcoming The Impact of Different Materials on Optical Microphones For Speech Capture Using Deep Learning”, in Proc.  2024 27th Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA).
110. Jia-Wei Chen, Yu-Chuan Lee, Yi-Hao Jiang, Ching-Yu Chang, Chan-Shan Yang and Ying-Hui Lai*,  "Deep Learning-Driven Non-Contact Sound Source Localization via Multi-Axis Analysis with Laser Doppler Vibrometry." Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. Vol. 2025. 2025.

     Conference Papers (Demonstration program):

111. Ji Yan Han, Wei-Zhon Zheng,  Ren-Jie Huang, Yu Tsao and Ying-Hui Lai*, Hearing aids APP design based on deep learning technology, in Proc. The 11th International Symposium on Chinese Spoken Language Processing (ISCSLP), 2018.  (EI)
112. Wen-Huei Liao*, Pei-Chun Li, Shuenn Tsong Young, Ying-Hui Lai and Yu Tsao, IOS-based Ear Scale application for Clinical, in Proc. The 11th International Symposium on Chinese Spoken Language Processing (ISCSLP). (EI)

     Conference Papers (中文):

113. 賴穎暉、廖文輝、楊順聰, “基於響度模型發展助聽器之補償策略及其實踐," 第84屆 台灣耳鼻喉科醫學會,(桃園, 台灣), 2008年10月。
114. 何承諭, 黃炳勳,楊順聰, 賴穎暉, “助聽器功能聲電特性分析," 台灣聽語學會97年度會員大會暨學術研討會, (高雄, 台灣), October 2009.
115. 張慧珊、黃炳勳、楊順聰、賴穎暉, “助聽器華語語料之聲電特性分析," 台灣聽語學會97年度會員大會暨學術研討會 (高雄), August 2009.
116. 廖子維, 賴穎暉, 楊順聰, “以物理聲電特性分析比較各助聽器補償策略於典型五大聽損類型下之增益表現," 生物醫學工程科技研討會, 2010年11月。
117. 張秀雯， 林祐成， 賴穎暉， 曹昱， 張逸屏， 張佑榕。  助聽產業的新趨勢：遠端麥克風助聽技術於智慧型手機之實現. 台灣聽力語言學會104 年度會員大會暨學術研討會. 2015年12月.
118. 吳靜宜、姚硯懷、賴穎暉、葉松鈴、邱琬淳、湯士滄, “使用基因演算法產生多樣化均衡飲食建議," 2016台灣醫療影像資訊標準協會年會（MISAT2016）, (台北，台灣), 2016年08月17日。
119. 潘春君、何承泰、賴穎暉、張綺芬、湯士滄, “居家言語音量與音調復健系統," 2016台灣醫療影像資訊標準協會年會（MISAT2016）, (台北，台灣), 2016年08月17日。
120. 張博勛、賴穎暉、葉松鈴、邱琬淳、湯士滄, "客製化飲食管理系統", 2017台灣醫療影像資訊標準協會年會（MISAT2017）論文集（頁28), (台北，台灣), 2017年07月17日。
121. 廖俊翔、賴穎暉、賈叢林、楊佳燕、駱信昌、張綺芬、湯士滄, "利用聲音特徵對帕金森氏症進行快篩", 2017台灣醫療影像資訊標準協會年會（MISAT2017）論文集（頁28), (台北，台灣), 2017年07月17日。
122. Chi-Te Wang, Feng-Chuan Lin, Wei-Zhung Zheng, Shih-Hau Fang, Yu Tsao, Ying-Hui Lai*, "以語音能量特性發展即時語速偵測裝置-前導型研究", Rocling 2017, (台北，台灣), 2017年11月27日。
123. Tao-Wei Wang, Yu Tsao, Ying-Hui Lai, Chia-Lung Wu, Hsiang-Ping Hsu, "以軟體為基礎建構語音增強系統使用者介面", Rocling 2017, (台北，台灣), 2017年11月27日。
124. Wei-Zhong Zheng, Yu Tsao and Ying-Hui Lai, "以深度學習架構提升聽覺輔具於噪音情境 下之效益", 2017生物醫學工程科技研討會暨科技部醫學工程學門成果發表會, (桃園，台灣), 2017年11月27日。
125. 張雅評， 張秀雯， 曹昱， 賴穎暉 。  “適應性噪音消除演算法之臨床效益評估.” 台灣聽力語言學會106年度會員大會暨學術研討會. 2017年12月.
126. 廖婉淳、王淨、周繹書、賴穎暉、李偉強、湯士滄, "運用深度影像技術於輔助復健—以姿態辨識為例", 2019 年國際醫學資訊聯合研討會. 2019年10月.
127. 簡欣瑜、方黛華、林峰全、韓季言、賴穎暉*, “APP在語音異常兒童居家構音訓練之應用”, AII2022創新發明應用研討會, 2022年4月8日. (最佳論文獎)
128. 李家慧、賴穎暉*, 利用深度學習技術改善未知語者情況下的光學麥克風語音增強, 中國機械工程學會第四十屆全國學術研討會論文集 (論文編號: CA01-1234)

     Book chapter:

129. Ying-Hui Lai, Fei Chen, and Yu Tsao, chapter “Adaptive dynamic range compression for improving envelope-based speech perception,” Emerging Technology and Architecture for Big-data Analytics, Anupam Chattopadhyay and Yu Hao, editor, pages 1.

      Invited article:

130. 賴穎暉, “AI 於人工電子耳應用之經驗分享－『噪音消除』” , 台灣聽力語言學會電子學報-85期, 2022.

↠Patents:

1. 實現在智慧型手機之遠端麥克風助聽系統及其運用方法 (中華民國專利, I565287)。
2.  嗓音疾病偵測分類系統 (中華民國專利, I622980)。
3. 嗓音即時監測系統(台灣, I626647)、(中國, ZL 2017 1 0953416.9)。
4. 基於個人飲食偏好之同質多樣化均衡飲食規劃方法(中華民國專利, I640948)。
5. 提升構音患者語音轉換效益之系統及方法 (中華民國專利, I766575)。
6. 構音異常語料擴增方法及系統、語音辨識平台及構音異常輔助裝置 (中華民國專利, I780738)。
7. 發聲監控方法及系統 (中華民國專利, I749663)。
8. 耳機裝置及聽力設備 (中華民國專利, M645890)。
9. 具有真耳測量的自調式聽覺補償裝置及具有自調式聽覺補償裝置之聽力設備 (中華民國專利, M636702)。
10. 聽覺補償裝置及具有該聽覺補償裝置之聽力設備 (中華民國專利, M635174)。
11. 聽覺補償裝置及聽覺補償方法 (中華民國專利, I827009)。

↠Awards & Honors: