2023

  1. Zhao Ren*, Kun Qian*, Tanja Schultz, and Björn W. Schuller, “An Overview of the ICASSP Special Session on AI Security and Privacy in Speech and Audio Processing”, in Proceedings of the ACM Multimedia Asia, pp.1-6, Tainan, China, December 2023.
  2. Yang Tan#, Zhihua Wang#, Kun Qian*, Zhihao Bao, Zheyu Cao, Bin Hu*, Yoshiharu Yamamoto, and Björn W. Schuller, “AMNet: Introducing an Adaptive Mel-spectrogram End-to-End Neural Network for Heart Sound Classification”, in Proceedings of IEEE Healthcom, pp.90-94, Chongqing, China, December 2023.
  3. Dewen Xu#, Zhihua Wang#, Tsuyoshi Kitajima, Toru Nakamura, Hiroko Shimura, Hiroki Takeuchi, Yang Tan, Runze Ge, Kun Qian*, Bin Hu*, Björn W. Schuller, and Yoshiharu Yamamoto*, “An End-to-End Model for Mental Disorders Detection by Spontaneous Physical Activity Data”, in Proceedings of ICDMW, pp.1306-1312, Shanghai, China, December 2023.
  4. Meishu Song, Zijiang Yang, Andreas Triantafyllopoulos, Toru Nakamura, Yongxin Zhang, Zhao Ren, Hiroki Takeuchi, Akifumi Kishi, Tetsuro Ishizawa, Kazuhiro Yoshiuchi, Haojie Zhang, Kun Qian, Bin Hu, Björn W. Schuller, and Yoshiharu Yamamoto*, “Crossmodal Transformer on Multi-Physical Signals for Personalised Daily Mental Health Prediction”, in Proceedings of ICDMW, pp.1299-1305, Shanghai, China, December 2023.
  5. Yanjie Sun, Kele Xu*, Chaorun Liu, Yong Dou, and Kun Qian, “Automatic Audio Augmentation for Requests Sub-Challenge”, in Proceedings of ACM MM, pp.9482-9486, Ottawa, Canada, October 2023.
  6. Luyu Chen, Lin Shen, Dan Yu, Zhihua Wang, Kun Qian*, Bin Hu, Björn W. Schuller, and Yoshiharu Yamamoto, “Multi-Track Music Generation With WGAN-GP and Attention Mechanisms”, in Proceedings of GCCE, pp.606-607, Nara, Japan, October 2023.
  7. Runze Ge, Zhihua Wang, Zhonghao Zhao, Kun Qian*, Bin Hu*, Björn W. Schuller, and Yoshiharu Yamamoto, “An End-To-End Model for Speech-Based Somatisation Disorder Detection”, in Proceedings of GCCE, pp.603-605, Nara, Japan, October 2023.
  8. Min Ki Cho, Zhonghao Zhao, Zhihua Wang, Kun Qian*, Bin Hu*, Yoshiharu Yamamoto, and Björn W. Schuller, “Snore Sound Recognition via an Explainable Capsule Network”, in Proceedings of GCCE, pp.1048-1049, Nara, Japan, October 2023.
  9. Yu Ma, Yuting Huang, Kaixiang Yuan, Guangzhe Xuan, Yongzi Yu, Hengrui Zhong, Rui Li, Jian Shen*, Kun Qian*, Bin Hu*, Björn W. Schuller, and Yoshiharu Yamamoto, “Explainable Stuttering Recognition Using Axial Attention”, in Proceedings of ICIC, pp.209-220, Zhengzhou, China, August 2023.
  10. Haojie Zhang, Kun Qian*, Lin Shen, Lujundong Li, Kele Xu*, and Bin Hu*, “From Noise To Sound: Audio Synthesis Via Diffusion Models”, Technical Report for DCASE2023 Challenge, pp. 1-4, Tampere, Finland, September 2023.
  11. Junyan Liu, Zikai Zhou, Mengkai Sun, Kele Xu*, Kun Qian*, and Bin Hu*, “SE-PROTONET: Prototypical Network with Squeeze-and-Excitation Blocks for Bioacoustic Event Detection”, Technical Report for DCASE2023 Challenge, pp. 1-4, Tampere, Finland, September 2023.
  12. Zhonghao Zhao, Yang Tan, Kun Qian*, Kele Xu*, and Bin Hu*, “Ensemble Systems with GAN and Auto-Encoder Models for Anomalous Sound Detection”, Technical Report for DCASE2023 Challenge, pp. 1-4, Tampere, Finland, September 2023.
  13. Jinyang Yu, Zikai Song, Jiahao Ji, Lixian Zhu, Kele Xu*, Kun Qian*, Yong Dou*, and Bin Hu*, “Tiny Audio Spectrogram Transformer: Mobilevit for Low-Complexity Acoustic Scene Classification with Decoupled Knowledge Distillation”, Technical Report for DCASE2023 Challenge, pp. 1-5, Tampere, Finland, September 2023.
  14. Tomoya Koike#, Zhihua Wang#, Kun Qian*, Bin Hu*, Björn W. Schuller,and Yoshiharu Yamamoto, “An Investigation on Data Augmentation and Multiple Instance Learning for Diagnosis of COVID-19 from Speech and Cough Sound”, in Proceedings of ICCE-Taiwan, pp.783-784, Pingtung, China, July 2023.
  15. Zhihao Bao, Kun Qian*, Zhonghao Zhao, Mengkai Sun, Ruolan Huang*, Dewen Xu, Bin Hu*, Yoshiharu Yamamoto, and Björn W. Schuller, “Somatisation Disorder Detection via Speech: Introducing a Self-Supervised Learning Model”, in Proceedings of EMBC, pp.1-4, Sydney, Australia, July 2023.
  16. Gang Luo, Shuting Sun*, Kun Qian*, Bin Hu*, Björn W. Schuller, and Yoshiharu Yamamoto, “How does Music Affect Your Brain? A Pilot Study on EEG and Music Features for Automatic Analysis”, in Proceedings of EMBC, pp.1-4, Sydney, Australia, July 2023.
  17. Cuiping Zhu, Zhonghao Zhao, Yang Tan, Mengkai Sun, Kun Qian*, Tao Jiang*, Bin Hu*, Björn W. Schuller, and Yoshiharu Yamamoto, “Less is More: A Novel Feature Extraction Method for Heart Sound Classification via Fractal Transformation”, in Proceedings of EMBC, pp.1-4, Sydney, Australia, July 2023.
  18. Zikai Song#, Lixian Zhu#, Yiyan Wang, Mengkai Sun, Kun Qian*, Bin Hu*, Yoshiharu Yamamoto, and Björn W. Schuller, “Cutting Weights of Deep Learning Models for Heart Sound Classification: Introducing a Knowledge Distillation Approach”, in Proceedings of EMBC, pp.1-4, Sydney, Australia, July 2023.
  19. Roneel V. Sharan, Kun Qian, and Yoshiharu Yamamoto, “Detecting Childhood Pneumonia Using Handcrafted and Deep Learning Cough Sound Features and Multilayer Perceptron”, in Proceedings of EMBC, pp.1-4, Sydney, Australia, July 2023.
  20. Yongzi Yu, Wanyong Qiu, Chen Quan, Kun Qian*, Zhihua Wang, Yu Ma, Bin Hu*, Björn W. Schuller, and Yoshiharu Yamamoto, “Federated Intelligent Terminals Facilitate Stuttering Monitoring”, in Proceedings of ICASSP, pp.1-5, Rhodes Island, Greek, June 2023.
  21. Meishu Song, Andreas Triantafyllopoulos, Zijiang Yang, Hiroki Takeuchi, Toru Nakamura, Akifumi Kishi, Tetsuro Ishizawa, Kazuhiro Yoshiuchi, Xin Jing, Zhonghao Zhao, Vincent Karas, Kun Qian*, Bin Hu, Björn W. Schuller, and Yoshiharu Yamamoto*, “Daily Mental Health Monitoring From Speech: A Real-World Japanese Dataset and Multitask Learning Analysis”, in Proceedings of ICASSP, pp.1-5, Rhodes Island, Greek, June 2023.
  22. Yi Chang, Zhao Ren, Thanh Tam Nguyen, Kun Qian, and Björn W. Schuller, “Knowledge Transfer for On-device Speech Emotion Recognition with Neural Structured Learning”, in Proceedings of ICASSP, pp.1-5, Rhodes Island, Greek, June 2023.