王緒翔, Syu Siang Wang

Intro

Syu Siang Wang completed his Bachelor's (2008) and Master's (2010) degrees in Electrical Engineering from National Changhua Normal University in Changhua, Taiwan, and National Jinan University in Nantou, Taiwan, respectively. He obtained his Ph.D. from the Graduate Institute of Communication Engineering at National Taiwan University in 2018. During his Ph.D. studies, he served as a research assistant at the Information Technology Innovation Research Center of Academia Sinica from 2012 to 2018, focusing on robust speech feature extraction and enhancement. After completing his Ph.D., he conducted postdoctoral research at the NTU Joint Research Center for AI Technology and All Vista Healthcare, where he worked on hearing aid signal processing technology. Currently, he holds the position of assistant professor in the Department of Electrical Engineering at Yuan Ze University in Taoyuan, Taiwan. His research interests encompass speech signal processing and biological signal processing.

王緒翔博士分別於國立彰化師範大學電機工程學系及國立暨南國際大學電機工程研究所獲得學士學位（2008 年）和碩士學位（2010 年），並在2018年於台灣大學電信工程研究所獲得了博士學位。在學期間，王博士同時任職於中央研究院資訊科技創新研究中心擔任研究助理，研究主題為強健性語音特徵擷取與語音增強技術。於博士畢業後，王博士在臺大人工智慧研究中心擔任博士後研究員，從事助聽器信號處理技術研究。目前，王博士為元智大學電機工程學系助理教授。研究主題包括語音訊號處理和生物信號處理。

1. 博士 (Ph.D.)；國立台灣大學電信工程學研究所 (Graduate Institute of Communication Engineering, National Taiwan University, Taiwan)；2013.7-2018.6
2. 碩士 (M.S.)；國立暨南國際大學電機工程學研究所 (Electrical Engineering, National Chi Nan University, Taiwan)；2008.7-2010.6
3. 學士 (B.S.)；國立彰化師範大學電機工程學系 (Electrical Engineering, National Changhua University of Education, Taiwan)；2003.7-2008.6

• 元智大學人工智慧跨域創新應用中心 (AI Center, Yuan Ze University)；副主任 (Deputy Director), 2023.3-present
• 元智大學電機系 (Dept. of Electrical Engineering, Yuan Ze University)；助理教授 (Assistant Professor)；2022.8-present
• 中研院資創中心 (Research Center for Information Technology Innovation, Academia Sinica)；博士後研究員 (Postdoctoral Researcher)；2019.8-2022.7
• 元智大學電機系 (Dept. of Electrical Engineering, Yuan Ze University)；兼任助理教授 (Adjunct Assistant Professor)；2020.8-2022.1
• 宜蘭大學電機系 (Dept. of Electrical Engineering, National Ilan University)；兼任助理教授 (Adjunct Assistant Professor)；2021.2-2021.7
• 科技部人工智慧技術暨全幅健康照護聯合研究中心 (MOST Joint Research Center For AI Technology And All Vista Healthcare, National Taiwan University)；博士後研究員 (Postdoctoral Researcher)；2018.9-2019.7
• 中國南方科技大學 電子與電氣工程系 (Electrical and Electronic Engineering in SUSTC, China)；暑期實習生 (Summer Intern)；2016.7-2016.9
• 日本情報通信研究機構 (National Institute of Information and Communications Technology, Japan)；暑期實習生 (Summer Intern)；2015.9-2015.11

1. 佳作 (Excellent Work Award)；中技社AI創意競賽；2022
2. 金牌獎 (Gold Medal Award)；台灣創新技術博覽會 (Taiwan Innotech Expo Invention); 2021
3. 未來科技突破獎 (FutureTech Award)；科技部 (MOST), R.O.C；2019
4. Ph.D. Thesis Award；Association for Computational Linguistics and Chinese Language Processing (ACLCLP), R.O.C；2018
5. Excellent Paper Award；Technologies and Applications of Artificial Intelligence (TAAI)；2012

1. Speech signal processing
2. Bio-signal Processing

Publication

1. S.-B. Wong, Y. Tsao, W.-H. Tsai, T.-S. Wang, H.-C. Wu and S.-S. Wang, "Application of Bidirectional Long Short-Term Memory Network for Prediction of Cognitive Age," to appear in the Scientific Report.
2. S.-S. Wang, C.-C. Tsai and S.-H. Fang, "A Lightweight Deep-learning Framework for Packet Loss Concealment and Speech Enhancement," to appear in the IEEE Internet of Things Journal.
3. S.-S. Wang, C.-T. Wang, C.-C. Lai, Y. Tsao and S.-H. Fang, "Continuous Speech for Improved Learning Pathological Voice Disorders," in IEEE Open Journal of Engineering in Medicine and Biology, vol. 3, pp. 25-33, 2022.
4. Y.-W. Chen, K.-H. Hung, Y.-J. Li, A. C.-F. Kang, Y.-H. Lai, K.-C. Liu, S.-W. Fu, S.-S. Wang, Y. Tsao, "CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application," in IEEE Access, vol. 10, pp. 46082-46099, 2022.
5. L.-P. Tsai, S.-S. Wang, Y. Tsao, and S.-B. Wong, "Dynamic Changes in the Quantitative Electroencephalographic Spectrum During Attention Tasks in Patients with Prader–Willi Syndrome", in Frontiers in Genetics, vol. 13, 2022.
6. C. Yu, R. E. Zezario, S.-S. Wang, J. Sherman, Y.-Y. Hsieh, X. Lu, H.-M. Wang, and Y. Tsao, "Speech Enhancement based on Denoising Autoencoder with Multi-branched Encoders", in IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 28, pp. 2756- 2769, 2020.
7. C. Yu, K.-H. Hung, S.-S. Wang, Y. Tsao, and J.-w. Hung "Time-Domain Multi-modal Bone/ air Conducted Speech Enhancement", in IEEE signal processing letter, vol. 27, pp. 1035–1039, 2020.
8. Y.-H. Lai, S.-S. Wang, C.-H. Chen, and S.-H. Jhang, "Adaptive Wiener gain to Improve Sound Quality on Nonnegative Matrix Factorization-based Noise Reduction System", in IEEE Access, vol. 7, no. 6, pp. 43286–43297, 2019.
9. H.-T. Hwang, Y.-C. Wu, S.-S. Wang, C.-C. Hsu, Y. Tsao, H.-M. Wang, Y.-R. Wang, and S.-H. Chen, "Locally Linear Embedding Based Post-filtering for Speech Enhancement," in Journal of Information Science and Engineering, vol. 34, no. 6, pp. 1469–1491, 2018.
10. J.-C. Hou, S.-S. Wang, Y.-H. Lai, Y. Tsao, H.-W. Chang, H.-M. Wang, "Audio-visual speech enhancement using multimodal deep convolutional neural networks," in IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 2, no. 2, pp. 117–128, 2018.
11. S.-S. Wang, P. Lin, Y. Tsao, J.-W. Hung, and B. Su, "Suppression by Selecting Wavelets for Feature Compression in Distributed Speech Recognition," in IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 26, no. 3, pp. 564–579, 2018.
12. T.-E. Chen, S.-I Yang, L.-T. Ho, K.-H. Tsai, Y.-H. Chen, Y.-F. Chang, Y.-H. Lai, S.-S. Wang, Y. Tsao, and C.-C. Wu, "S1 and S2 Heart Sound Recognition using Deep Neural Networks," in IEEE Transactions on Biomedical Engineering, vol. 64, no. 2, pp. 372-380, 2017.
13. T. Hussain, S. M. Siniscalchi, C. Lee, S.-S. Wang, Y. Tsao, and W. Liao, "Experimental Study on Extreme Learning Machine Applications for Speech Enhancement," in IEEE Access, vol. 5, pp. 25542--25554, 2017.
14. P. Lin, D. Lyu, F. Chen, S.-S. Wang, and Y. Tsao, "Multi-style Learning with Denoising Autoencoders for Acoustic Modeling in the Internet of Things (IoT)," in Computer Speech & Language, 2017.
15. S.-S. Wang, A. Chern, Y. Tsao, J.-W. Hung, X. Lu, Y.-H. Lai, and B. Su, "Wavelet Speech Enhancement based on Nonnegative Matrix Factorization," in IEEE Signal Processing Letters, vol. 23, no. 8, pp. 1101-1105, 2016.
16. Y.-H. Lai, F. Chen, S.-S. Wang, X. Lu, Y. Tsao, and C.-H. Lee, "A Deep Denoising Autoencoder Approach to Improving the Intelligibility of Vocoded Speech in Cochlear Implant Simulation," in IEEE Transactions on Biomedical Engineering, vol. PP, no. 99, pp. 1-1, 2016.
17. P. Lin, S.-W. Fu, S.-S. Wang, Y.-H. Lai, and Y. Tsao, "Maximum Entropy Learning with Deep Belief Networks," in Entropy, vol.18, no. 7, pp. 251, 2016.
18. J.-w. Hung, H.-T. Fan, and S.-S. Wang, "Several New DWT-Based Methods for Noise-Robust Speech Recognition," in International Journal of Innovation, Management and Technology, vol. 3, no. 5, pp. 547-551, 2012.

1. H.-P. Hsu; S.-C. Chang; C.-H. Hung, S.-S. Wang, and S.-H. Fang, "Performance Comparison of Audio Tampering Detection Using Different Datasets," to appear in MUST2023.
2. W.-Y. Ting, S.-S. Wang, Y. Tsao, and B. Su, "IANS: Intelligibility-aware Null-steering Beamforming for Dual-Microphone Arrays," to appear in MLSP 2023.
3. S.-S. Wang, Y. Tsao, W.–Z. Zheng, H.–W. Yeh, P.–C. Li, S.–H. Fang and Y.–H. Lai, "Dysarthric Speech Enhancement Based on Convolution Neural Network," in Proc. EMBC, pp. 60-64, 2022.
4. W.-Y. Ting, S.-S. Wang, H.-L. Chang, B. Su and Y. Tsao, "Speech Enhancement Based on CycleGAN with Noise-informed Training," in Proc. ISCSLP, pp. 155-159, 2022.
5. Y.-J. Chan, C.-J. Peng, S.-S. Wang, H.-M. Wang, Y. Tsao and T.-S. Chi, "Speech Enhancement-assisted Voice Conversion in Noisy Environments," in Proc. APSIPA, pp. 1533-1538, 2022.
6. Y.-J. Li, S.-S. Wang, Y. Tsao, and B. Su, "MIMO Speech Compression and Enhancement Based on Convolutional Denoising Autoencoder," in Proc. APSIPA, pp. 1245-1250, 2021.
7. C.-J. Peng, Y.-J. Chan, C. Yu, S.-S. Wang, Y. Tsao and T.-S. Chi, "Attention-Based Multi-Task Learning for Speech-Enhancement and Speaker-Identification in Multi-Speaker Dialogue Scenario," in Proc. ISCAS, pp. 1–5, 2021.
8. C.-Y. Chen, W.-Z. Zheng, S.-S. Wang, Y. Tsao, P.-C. Li, and Y.-H. Lai, "Enhancing Intelligibility of Dysarthric Speech Using Gated Convolutional-Based Voice Conversion System," in Proc. Interspeech, pp. 4686-4690, 2020.
9. S.-W. Fu, C.-F. Liao, T.-A. Hsieh, K.-H. Hung, S.-S. Wang, C. Yu, H.-C. Kuo, R. E. Zezario, Y.-J. Li, S.-Y. Chuang, Y.-J. Lu, Y.-C. Lin, and Y. Tsao, "Boosting Objective Scores of a Speech Enhancement Model by MetricGAN Post-processing," in Proc. APSIPA, pp. 455-459, 2020.
10. C.-L. Lin, Z.-Q. Lin, S.-S. Wang, Y. Tsao, and J.-w. Hung, "Exponentiated Magnitude Spectrogram-based Relative-to-maximum Masking for Speech Enhancement in Adverse Environments," in Proc. ICCE-TW, pp. 1-2, 2020.
11. S.-S. Wang, Y.-Y. Liang, J.-w. Hung, Y. Tsao, H.-M. Wang, and Shih-Hau Fang, "Distributed Microphone Speech Enhancement based on Deep Learning," arXiv preprint arXiv: 1911.08153, 2019.
12. P.-T. Huang, H.-S. Lee, S.-S. Wang, K.-Y. Chen, Y. Tsao, and H.-M. Wang, "Exploring the Encoder Layers of Discriminative Autoencoders for LVCSR," in Proc. Interspeech, pp. 1631–1635, 2019.
13. F.-K. Chuang, S.-S. Wang, J.-w. Hung, Y. Tsao, and S.-H. Fang, "Speaker-aware Deep Denoising Autoencoder with Embedded Speaker Identity for Speech Enhancement", in Proc. Interspeech, pp. 3173–3177, 2019.
14. Y.-L. Shen, C.-Y. Huang, S.-S. Wang, Y. Tsao, H.-M. Wang, and T.-S. Chi, "Reinforcement Learning Based Speech Enhancement for Robust Speech Recognition," in Proc. ICASSP, pp. 6750–6754, 2019.
15. S.-K. Lee, S.-S. Wang, Y. Tsao, and J.-W. Hung, "Speech Enhancement Based on Reducing the Detail Portion of Speech Spectrograms in Modulation Domain via Discrete Wavelet Transform," in Proc. ISCSLP, 2018.
16. W.-J. Lee, S.-S. Wang, F. Chen, X. Lu, S.-Y. Chien, and Y. Tsao„ "Speech Dereverberation Based on Integrated Deep and Ensemble Learning Algorithm," in Proc. ICASSP, pp. 5454– 5458, 2018.
17. C.-L. Wu, H.-P. Hsu, S.-S. Wang, J.-W. Hung, Y.-H. Lai, H.-M. Wang, and Y. Tsao, "Wavelet Speech Enhancement Based on Robust Principal Component Analysis," in Proc. Interspeech, pp. 439-443, 2017.
18. Y.-C. Wu, H.-T. Hwang, S.-S. Wang, C.-C. Hsu, Y. Tsao, and H.-M. Wang, "A Post-filtering Approach Based on Locally Linear Embedding Difference Compensation for Speech Enhancement," in Proc. Interspeech, pp. 439-443, 2017.
19. Y.-C. Wu, H.-T. Hwang, S.-S. Wang, C.-C. Hsu, Y.-H. Lai, Y. Tsao, and H.-M. Wang, "A Locally Linear Embedding Based Postfiltering Approach for Speech Enhancement," in Proc. ICASSP, pp. 5555-5559, 2017.
20. S.-S. Wang, Y. Tsao, H.-L. S. Wang, Y.-H. Lai and L. P.-H. 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. APSIPA, pp. 808-812, 2017.
21. J.-C. Hou, S.-S. Wang, Y.-H. Lai, J.-C. Lin, Y. Tsao, H.-W. Chang, and H.-M. Wang, "Audio-Visual Speech Enhancement using Deep Neural Networks," in Proc. APSIPA, pp. 1-6, 2016.
22. Y.-T. Tsai, B. Su, Y. Tsao, and S.-S. Wang, "Adaptive subspace-constrained diagonal loading," in Proc. APSIPA, pp. 1-4, 2016.
23. Y.-H. Lai, S.-S. Wang, Y.-T. Su, H.-C. Cheng, F. K. Fu, and Y. Tsao, "Improving the performance of speech perception in noisy environment based on a FAME strategy," in Proc. ISCSLP, pp. 1-5, 2016.
24. J.-C. Yang, S.-S. Wang, Y. Tsao, and J.-W Hung, "Speech Enhancement via Ensemble Modeling NMF Adaptation," in Proc. ICCE-TW, pp. 1-2 2016.
25. S.-S. Wang, J.-C. Yang, Y. Tsao, and J.-W Hung, "Leveraging Nonnegative Matrix Factorization in Processing the Temporal Modulation Spectrum for Speech Enhancement," in Proc. ICCE-TW, pp. 1-2 2016.
26. S.-S. Wang and Y. Tsao, "Temporal Modulation Spectral Restoration for Robust Speech Recognition," in Proc. IEEE BigMM, pp. 481-486, 2016.
27. S.-S. Wang, H.-T. Hwang, Y.-H. Lai, Y. Tsao, X. Lu, H.-M. Wang, and B. Su, "Improving Denoising Auto-encoder Based Speech Enhancement With the Speech Parameter Generation Algorithm," in Proc. APSIPA, pp. 365-369, 2015.
28. P. Lin, S.-S. Wang, and Y. Tsao, "Temporal Information in Tone Recognition," in Proc. ICCE-TW, pp. 326-327, 2015.
29. Y.-H. Lai, S.-S. Wang, P.-C. Li, and Yu Tsao, "A Discriminative Post-filter for Speech Enhancement in Hearing Aids," in Proc. ICASSP, pp. 5868-5872, 2015.
30. P. Lin, F. Chen, S.-S. Wang, Y. Tsao, and Y. H. Lai, "Automatic Speech Recognition with Primarily Temporal Envelope Information," in Proc. Interspeech, pp. 476-480, 2014.
31. S.-S. Wang, P. Lin, D.-C. Lyu, Y. Tsao, H.-T. Hwang, B. Su, and H.-M. Wang, "Acoustic Feature Conversion using a Polynomial based Feature Transferring Algorithm," in Proc. ISCSLP, pp. 454-458, 2014.
32. H.-T. Fan, J.-W. Hung, X. Lu, S.-S. Wang, and Y. Tsao, "Speech Enhancement using Segmental Nonnegative Matrix Factorization," in Proc. ICASSP, pp. 4483-4487, 2014.
33. S.-S. Wang, Y. Tsao, J.-W. Hung, "Filtering on the Temporal Probability Sequence in Histogram Equalization for Robust Speech Recognition," in Proc. ICASSP, pp. 7112-7116, 2013.
34. S.-S. Wang, J.-w. Hung, and Y. Tsao, "A Study on Cepstral Subband Normalization for Robust ASR," in Proc. ISCSLP, pp. 141-145, 2012.
35. 王緒翔, 曹昱, "倒頻譜分頻帶正規化技術於強健性語音辨識之研究," in Proc. TAAI, 2012.

1. S.-H. Fang, Y. Tsao, J.-w. Hung, S.-S. Wang, and F.-Kai Chuang, Applying deep-learning approaches to a speech enhancement system, I749547, R.O.C.
2. Y. Tsao and S.-S. Wang, System and method for suppression by selecting wavelets for feature compression and reconstruction in distributed speech recognition, I708243, R.O.C.
3. Y. Tsao and S.-S. Wang, System and methods for suppression by selecting wavelets for feature compression in distributed speech recognition, US10978091-B2, U.S.
4. Y. Tsao, S.-S. Wang, A. C.-F. Kang, and H.-M. Wang, Method and apparatus and telephonic system for acoustic scene conversion, US-20210390971-A1, U.S.

1. 曹昱，蘇煜程，王緒翔, “線性映射轉換函數於聲學模型調適之強健式語音辨識,” 計算語言學學會通訊第 23 卷第 2 期 (2012 年 6 月)

Teaching

• 工程數學二 (Engineering Mathematics(II))
  元智大學電機系 (Dept. Electrical Engineering of Yuan Ze University)
  111學年度第二學期 (2022 2nd Semester)
• 工程數學一 (Engineering Mathematics(I))
  元智大學電機系 (Dept. Electrical Engineering of Yuan Ze University)
  111學年度第一學期 (2023 1st Semester)
• 工程數學二 (Engineering Mathematics(II))
  元智大學電機系 (Dept. Electrical Engineering of Yuan Ze University)
  110學年度第二學期 (2022 2nd Semester)
• 線性代數 (Linear Algebra)
  元智大學電機系 (Dept. Electrical Engineering of Yuan Ze University)
  110學年度第二學期 (2022 2nd Semester)
• 程式設計 (Computer Programming)
  宜蘭大學電機系 (Dept. Electrical Engineering of National Ilan University)
  109學年度第二學期 (2021 2nd Semester)

• 工程數學(上) (Engineering Mathematics(I))
  國立暨南國際大學電機系 (Dept. Electrical Engineering of National Chi Nan University)
  98學年度第一學期 (2009 1st Semester)
• 訊號系統 (Signals and Systems)
  國立暨南國際大學電機系 (Dept. Electrical Engineering of National Chi Nan University)
  97學年度第二學期 (2009 2nd Semester)

• 高中端多元合作課程
  內壢高中
  2022.12.17
• AI summer camp
  Kasetsart University, Tailand
  2023.05.09

Professional activities

1. Demo Chair, ROCLING, Taiwan (2020)
2. Session Chair, ROCLING, Taiwan (2019)

1. Reviewer, IEEE/ACM Transactions on Speech and Language Processing
2. Reviewer, IEEE Transactions on Signal Processing
3. Reviewer, IEEE Signal Processing Letters
4. Reviewer, IEEE Transactions on Emerging Topics in Computational Intelligence
5. Reviewer, APSIPA Transactions on Signal and Information Processing
6. Reviewer, Journal of Signal Processing Systems
7. Reviewer, Applied Acoustics
8. Reviewer, Computer Speech & Language
9. Reviewer, Artificial Intelligence

1. Reviewer, ASRU, 2023
2. Reviewer, ICASSP, 2023
3. Reviewer, IET ICETA, 2022
4. Reviewer, ICME, 2021, 2022, 2023
5. Reviewer, ICCE-TW, 2020, 2021, 2022, 2023
6. Reviewer, ROCLING, 2020

1. Sound assistive bioengineering, National Chi Nan University, 2022.11.18
2. 語音訊號處理與聲學輔助科技, 智慧科技與創新材料技術發表暨商機媒合, 2022.11.16
3. Sound assistive bioengineering, National Chi Nan University, 2022.10.26
4. Speech Enhancement (From Signal Processing to Machine Learning Ssolutions) and Its Applications for Assistive Oral Communication Technology, ROCLING, 2021.10.15
5. Sound assistive bioengineering, National Taiwan University of Science and Technology, 2020.12.14
6. Sound assistive bioengineering, National Ilan University, 2020.11.20
7. Single- and multi-channel speech enhancement system, SWS 2020 Speech Signal Processing Workshop, National Yang-Ming Chiao-Tung University, 國立陽明交通大學, 2020.08.07
8. Front-end signal processing for speech enhancement and speech recognition, National Yunlin University of Science and Technology, 國立雲林科技大學, 2019.06.17)

• Principal Investigator︰
  1. NSTC 112-2222-E-155-002-
     The study for applying multi-task learning to face-mask-voice compensation, packet-lost concealment, and multi-channel speech enhancement
     2023/08/01-2024/07/31
• Co-Investigator︰
  1. NSTC 112-2221-E-001-020-MY3
     基於AI之口語溝通輔具演算法開發及系統實踐
     2023/08/01-2026/07/31
  2. NSTC 112-2221-E-155-017-MY2
     高精度喉癌快篩及其強健系統開發
     2023/08/01-2025/07/31

Contact

886-3-4638800 #7112

sypdbhee@saturn.yzu.edu.tw

桃園市中壢區遠東路135號，辦公室:70619
Office:70619, No. 135, Yuandong Rd., Zhongli Dist., Taoyuan City, R.O.C.

• School
• GitHub
• GoogleScholar

Elements

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