學系成員

王緒翔 助理教授

  • 學歷

    2013.7-2018.6    國立台灣大學電信工程學研究所          博士

    2008.7-2010.6    國立暨南國際大學電機工程學研究所   碩士

    2003.7-2008.6    國立彰化師範大學電機工程學系          學士





    經歷

    1. 元智大學人工智慧跨域創新應用中心 副主任 2023.3-present
    2. 元智大學電機系 助理教授                               2022.8-present
    3. 中研院資創中心 博士後研究員                        2019.8-2022.7
    4. 元智大學電機系 兼任助理教授                        2020.8-2022.1
    5. 宜蘭大學電機系 兼任助理教授                        2021.2-2021.7
    6. 科技部人工智慧技術暨全幅健康照護聯合研究中心 博士後研究員 2018.9-2019.7

    研究專長

    1. 語音訊號處理
    2. 生醫訊號處理
    3. 機器學習

  • 期刊論文

    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”, 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.

  • 會議論文

    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 MUST2023H.-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. 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 ASC, pp. 1533-1538, 2022.
    5. 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.
    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 ASC, 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”, 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, 2015.
    28. P. Lin, S.-S. Wang, and Y. Tsao, “Temporal Information in Tone Recognition,” in Proc. ICCE, 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, 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, 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, 2014.
    32. H.-T. Fan, J.-W. Hung, X. Lu, S.-S. Wang, and Yu Tsao, “Speech Enhancement using Segmental Nonnegative Matrix Factorization,” in Proc. ICASSP, 2014.

  • 研究計畫

    計畫主持人︰

    1.  NSTC  112-2222-E-155 -002 -  應用多任務學習於補償口罩語音、語音網路通訊失真與多通道語音增強研究
    		2023/08/01  ~   2024/07/31



    共同主持人︰

    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


  • 相關著作與專利

    專利︰

    國內︰

    1. 方士豪、曹昱、洪志偉、王緒翔、莊富凱, 應用深度學習的語音增強系統, I749547
    2. 曹昱、王緒翔, 於分散式語音辨識中基於小波轉換之語音特徵壓縮及重建系統與方法, I708243

        國外︰

    1.  T. Yu and S.-S. Wang, System and methods for suppression by selecting wavelets for feature compression in distributed speech recognition, US10978091-B2, 美國
    2.  T. Yu, S.-S. Wang, A. C.-F. Kang, and H.-M. Wang, Method and apparatus and telephonic system for acoustic scene conversion, US-20210390971-A1, 美國


    著作︰

    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)

     

  • 得獎事蹟

    1. 中技社 AI 創意競賽    佳作  (2022)
    2. 台灣創新技術博覽會  金牌獎 (2021)
    3. 2019 未來科技突破獎-(方士豪老師, 嵌入式個人化深度降噪自編碼之語音強化系統) (2019)
    4. Ph.D. Thesis Award, Association for Computational Linguistics and Chinese Language Processing (ACLCLP), Taiwan (2018).
    5. Excellent Paper Award, Technologies and Applications of Artificial Intelligence (TAAI), Taiwan (2012)
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