Audio for Audio is Better? An Investigation on Transfer Learning Models for Heart Sound Classification. - Tomoya Koike; Kun Qian 003; Qiuqiang Kong; Mark D. Plumbley; Björn W. Schuller; Yoshiharu Yamamoto (EMBC, 2020)

An Early Study on Intelligent Analysis of Speech Under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety. - Jing Han 010; Kun Qian 003; Meishu Song; Zijiang Yang 007; Zhao Ren; Shuo Liu 012; Juan Liu; Huaiyuan Zheng; Wei Ji; Tomoya Koike; Xiao Li; Zixing Zhang 001; et al. (INTERSPEECH, 2020)

Learning Higher Representations from Pre-Trained Deep Models with Data Augmentation for the COMPARE 2020 Challenge Mask Task. - Tomoya Koike; Kun Qian 003; Björn W. Schuller; Yoshiharu Yamamoto (INTERSPEECH, 2020)

deepSELF: An Open Source Deep Self End-to-End Learning Framework. - Tomoya Koike; Kun Qian 003; Björn W. Schuller; Yoshiharu Yamamoto (CoRR, 2020)

Transferring Cross-Corpus Knowledge: An Investigation on Data Augmentation for Heart Sound Classification. - Tomoya Koike; Kun Qian 003; Björn W. Schuller; Yoshiharu Yamamoto (EMBC, 2021)

Sensing the Sounds of Silence: A Pilot Study on the Detection of Model Mice of Autism Spectrum Disorder from Ultrasonic Vocalisations. - Kun Qian 003; Tomoya Koike; Kota Tamada; Toru Takumi; Björn W. Schuller; Yoshiharu Yamamoto (EMBC, 2021)

Can Appliances Understand the Behavior of Elderly Via Machine Learning? A Feasibility Study. - Kun Qian 003; Tomoya Koike; Kazuhiro Yoshiuchi; Björn W. Schuller; Yoshiharu Yamamoto (IEEE Internet Things J., 2021)

Computer Audition for Fighting the SARS-CoV-2 Corona Crisis - Introducing the Multitask Speech Corpus for COVID-19. - Kun Qian 003; Maximilian Schmitt; Huaiyuan Zheng; Tomoya Koike; Jing Han 010; Juan Liu; Wei Ji; Junjun Duan; Meishu Song; Zijiang Yang 007; Zhao Ren; Shuo Liu 012; et al. (IEEE Internet Things J., 2021)

Learning Multimodal Representations for Drowsiness Detection. - Kun Qian 003; Tomoya Koike; Toru Nakamura; Björn W. Schuller; Yoshiharu Yamamoto (IEEE Trans. Intell. Transp. Syst., 2022)

An Investigation on Data Augmentation and Multiple Instance Learning for Diagnosis of COVID-19 from Speech and Cough Sound. - Tomoya Koike; Zhihua Wang; Kun Qian 003; Bin Hu 001; Björn W. Schuller; Yoshiharu Yamamoto (ICCE-Taiwan, 2023)