Rchr
J-GLOBAL ID:202201002571651754   Update date: Jul. 17, 2024

Lu Xugang

Lu Xugang
Affiliation and department:
Job title: Senior researcher
Research field  (1): Perceptual information processing
Research keywords  (1): speech signal processing and recognition, multi-media signal processing, machine learning
Research theme for competitive and other funds  (6):
  • 2019 - 2022 Construction of a computational model to deal with the cocktail-party problem for intelligent speech interface
  • 2010 - 2011 Regularization in a reproducing kernel Hilbert space for robust speech processing
  • 2007 - 2009 Nonlinguistic information in speech production, perception for multi-lingual speech communications
  • 2006 - 2007 Geometric relationship between speech production and acoustic spaces
  • 2005 - 2007 A study on prediction of articulation impairment and assisting system of pronounce training using a physiological articulatory model
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Papers (60):
  • Kai Li 0018, Xugang Lu, Masato Akagi, Masashi Unoki. Contributions of Jitter and Shimmer in the Voice for Fake Audio Detection. IEEE Access. 2023. 11. 84689-84698
  • Tassadaq Hussain, Wei-Chien Wang, Mandar Gogate, Kia Dashtipour, Yu Tsao, Xugang Lu, Ahsan Adeel, Amir Hussain. A Novel Temporal Attentive-Pooling based Convo-lutional Recurrent Architecture for Acoustic Signal Enhancement. IEEE Transactions on Artificial Intelligence. 2022. 3. 833-844
  • Xugang Lu, Peng Shen, Yu Tsao, Hisashi Kawai. Unsupervised neural adaptation model based on optimal transport for spoken language identification. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2021. 2021-. 7213-7217
  • Natalie Yu-Hsien Wang, Hsiao-Lan Sharon Wang, Tao-Wei Wang, Szu-Wei Fu, Xugang Lu, Hsin-Min Wang, Yu Tsao. Improving the Intelligibility of Speech for Simulated Electric and Acoustic Stimulation Using Fully Convolutional Neural Networks. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2021. 29. 184-195
  • Xugang Lu, Peng Shen, Yu Tsao, Hisashi Kawai. Coupling a Generative Model With a Discriminative Learning Framework for Speaker Verification. IEEE/ACM Transactions on Audio, Speech, and Language Processing. 2021. 29. 3631-3641
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Education (3):
  • 1996 - 1999 Chinese Academy of Sciences, Institute of automation Pattern recognition and intelligent control, Ph.D.
  • 1994 - 1996 Harbin Institute of Technology Computer science, pattern recognition, M.S.
  • 1990 - 1994 Harbin Institute of Technology Electrical engineering, Bachelor of engineering
Work history (6):
  • 2017/04 - 現在 Doshisha University Guest professor
  • 2009/04 - 現在 National Institute of Information and Communications Technology Senior researcher
  • 2008/04 - 2009/03 Advanced Telecommunications Research Institute International Senior researcher
  • 2003/04 - 2008/03 Japan Advanced Institute of Science and Technology Assistant professor
  • 2001/12 - 2002/12 McMaster University Postdoc fellow
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Awards (7):
  • 2021/12 - IEEE Signal Processing Society, young author best paper award (S. Fu, T. Wang, Y. Tsao, X. Lu, H. Kawai).
  • 2020/09 - INTERSPEECH 2020 for short duration speaker verification challenge, Rank the 2nd
  • 2015/04 - Excellent performance award, National Institute of Information and Communications Technology (NICT)
  • 2014/09 - International Workshop on Spoken Language Translation, ASR competition, Rank the 1st
  • 2013/09 - International Workshop on Spoken Language Translation, ASR competition, Rank the 1st
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