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QU Tianshu

  • Associate Professor
  • School of Intelligence Science and Technology
    National Biomedical Imaging Center
  • 个人简介
    The laboratory has been engaged in spatial audio research for many years, including virtual 3D sound, audio event localization, separation and recognition, audio codec and so on. The laboratory has undertook projects such as Natural Science Foundation, Ministry of Science and Technology 863, national key research. Some of the research results have been recognized and popularized.
  • 所授课程
    Signals and Systems (Compulsory for undergraduate majors, 3 credits)
    Machine Perception Experiment (Elective for undergraduate majors, 2 credits)
    Digital Signal Processing and Algorithm Implementation (Elective for postgraduate majors, 3 credits)
  • 个人履历


    重点词汇
    157/5000
    翻译
    通用场景
    2021.11-Present Associate Professor, School of Intelligence, Peking University
    2010.8-2021.10 Associate Professor, School of Electronics Engineering and Computer Science, Peking University
    2004.10-2010.7 Lecturer, School of Electronics Engineering and Computer Science, Peking University
    2002.9-2004.9 Postdoctoral Researcher, Peking University
    1999.9-2002.6 Jilin University, PhD
    2011.3-2012.3 Visiting student, Michigan State University
  • 团队成员
    GAO Shan, Postdoctoral Researcher
  • 承担项目
    National Key Research and Development Program (2019YFC1408501), Environmental Perception and Autonomous Path Planning for Underwater Delivery System of Marine Observation Equipment (Subproject)
    The 715th Research Institute of China Shipbuilding Industry Corporation, Spherical harmonic function decomposition of spherical shell array and three-dimensional stereo field analysis method
    Huawei Technologies Co., LTD., AI Audio codec technology research
    Beijing Didi Infinite Technology Development Co., LTD., Active noise cancellation in vehicle cabins
    Chengdu Dayang Kanghong Electronics Co., LTD., 3D voice alarm system
    Shenzhen Tencent Computer System Co., LTD., Research on high precision Personalized HRTF customization technology based on image and video
  • 代表性论文及论著
    1. Gao S， Lin J， Wu X， Qu T. Sparse DNN Model for Frequency Expanding of Higher Order Ambisonics Encoding Process. IEEE/ACM Transactions on Audio， Speech， and Language Processing. 2022;30：1124-1135.
    2. Ge Z， Li L， Qu T. Partially Matching Projection Decoding Method Evaluation Under Different Playback Conditions. IEEE/ACM Transactions on Audio， Speech， and Language Processing. 2021;29：1411-1423.
    3. Fan L， Kong L， Li L， Qu T. Sensitivity to a break in interaural correlation in frequency-gliding noises. Front. Psychol. - Perception Science. 2021.
    4. Zhang M， Ge Z， Liu T， Wu X， Qu T. Modeling of Individual HRTFs Based on Spatial Principal Component Analysis. IEEE Transactions on Audio Speech and Language Processing. 2020;28：785-797.
    5. Gao S， Wu X， Qu T. Localization of Direct Source and Early Reflections Using HOA Processing and DNN Model， in Audio Engineering Society Convention 152.; 2022：10560.
    6. Wang Y， Wu X， Qu T. UP-WGAN： Upscaling Ambisonic Sound Scenes Using Wasserstein Generative Adversarial Networks， in Audio Engineering Society Convention 152.; 2022：10577.
    7. Xu J， Niu Y， Wu X， Qu T. Higher order ambisonics compression method based on independent component analysis， in 150 AES Convention.; 2021：10456.
    8. Zhang M， Guan T， Chen L， Fu T， Su D， Qu T. Individualized HRTF-based Binaural Renderer for Higher- Order Ambisonics， in 150 AES Convention.; 2021：10454.
    9. Peng C， Wu X， Qu T. Competing speaker count estimation on the fusion of the spectral and spatial embedding space， in INTERSPEECH 2020. Shaihai China; 2020：3077-3081.
    10. Ge Z， Li L， Qu T. The Ambisonic Partially Matching Projection Decoding Method for Near-field Sound Sources， in 148 AES Convension. Vienna， Austria; 2020.
    11. Wang Y， Wu X， Qu T. Direction of arrival estimation based on transfer function learning using autoencoder network， in 148 AES Convention. Vienna， Austria; 2020.
    12. Zhang M， Wu X， Qu T. Individual Distance-Dependent HRTFS Modeling Through A Few Anthropometric Measurements， in International Conference on Acoustics， Speech and Signal Processing (ICASSP) . Barcelona， Spain; 2020：401-405.