| The INTERSPEECH 2017 Computational Paralinguistics Challenge: Addressee, Cold & Snoring BW Schuller, S Steidl, A Batliner, E Bergelson, J Krajewski, C Janott, ... Proceedings of INTERSPEECH, 3442-3446, 2017 | 122 | 2017 |
| The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical & Self-assessed Affect, Crying & Heart Beats BW Schuller, S Steidl, A Batliner, PB Marschik, H Baumeister, F Dong, ... Proceedings of INTERSPEECH, Hyderabad, India, 122-126, 2018 | 79 | 2018 |
| Deep Scalogram Representations for Acoustic Scene Classification Z Ren, K Qian, Z Zhang, V Pandit, A Baird, BW Schuller IEEE/CAA Journal of Automatica Sinica 5 (3), 662-669, 2018 | 54 | 2018 |
| Classification of the Excitation Location of Snore Sounds in the Upper Airway by Acoustic Multi-Feature Analysis K Qian, C Janott, V Pandit, Z Zhang, C Heiser, W Hohenhorst, M Herzog, ... IEEE Transactions on Biomedical Engineering 64 (8), 1731-1741, 2017 | 48 | 2017 |
| A Bag-of-Audio-Words Approach for Snore Sounds’ Excitation Localisation M Schmitt, C Janott, V Pandit, K Qian, C Heiser, W Hemmert, BW Schuller Proceedings of the 12th ITG Conference on Speech Communication, 230-234, 2016 | 36 | 2016 |
| Deep Sequential Image Features for Acoustic Scene Classification Z Ren, V Pandit, K Qian, Z Yang, Z Zhang, BW Schuller Proceedings of the Workshop on Detection and Classification of Acoustic …, 2017 | 32 | 2017 |
| Attention-based Convolutional Neural Networks for Acoustic Scene Classification Z Ren, Q Kong, K Qian, MD Plumbley, BW Schuller Proceedings of the Workshop on Detection and Classification of Acoustic …, 2018 | 30 | 2018 |
| Wavelet Features for Classification of VOTE Snore Sounds K Qian, C Janott, Z Zhang, C Heiser, BW Schuller Proceedings of the 41st IEEE International Conference on Acoustics, Speech …, 2016 | 26 | 2016 |
| Automatic Detection, Segmentation and Classification of Snore Related Signals from Overnight Audio Recording K Qian, Z Xu, H Xu, Y Wu, Z Zhao IET Signal Processing 9 (1), 21-29, 2015 | 25 | 2015 |
| Wavelets Revisited for the Classification of Acoustic Scenes K Qian, Z Ren, V Pandit, Z Yang, Z Zhang, BW Schuller Proceedings of the Workshop on Detection and Classification of Acoustic …, 2017 | 24 | 2017 |
| COVID-19 and Computer Audition: An Overview on What Speech & Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis BW Schuller, DM Schuller, K Qian, J Liu, H Zheng, X Li Frontiers in Digital Health, 1-10, 2021 | 23 | 2021 |
| Learning Image-based Representations for Heart Sound Classification Z Ren, N Cummins, V Pandit, J Han, K Qian, BW Schuller Proceedings of the 2018 International Conference on Digital Health, 143-147, 2018 | 23 | 2018 |
| Speech-based Diagnosis of Autism Spectrum Condition by Generative Adversarial Network Representations J Deng, N Cummins, M Schmitt, K Qian, F Ringeval, BW Schuller Proceedings of the 7th ACM Digital Health, 53-57, 2017 | 23 | 2017 |
| Snoring Classified: The Munich-Passau Snore Sound Corpus C Janott, M Schmitt, Y Zhang, K Qian, V Pandit, Z Zhang, C Heiser, ... Computers in Biology and Medicine 94, 106-118, 2018 | 22 | 2018 |
| Active Learning for Bird Sound Classification via a Kernel-based Extreme Learning Machine K Qian, Z Zhang, A Baird, BW Schuller The Journal of the Acoustical Society of America 142 (4), 1796-1804, 2017 | 20 | 2017 |
| Bird Sounds Classification by Large Scale Acoustic Features and Extreme Learning Machine K Qian, Z Zhang, F Ringeval, BW Schuller Proceedings of the 3rd IEEE Global Conference on Signal and Information …, 2015 | 20 | 2015 |
| An Early Study on Intelligent Analysis of Speech under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety J Han, K Qian, M Song, Z Yang, Z Ren, S Liu, J Liu, H Zheng, W Ji, ... Proceedings of INTERSPEECH, Shanghai, China, 4946-4950, 2020 | 16 | 2020 |
| Deep Unsupervised Representation Learning for Abnormal Heart Sound Classification S Amiriparian, M Schmitt, N Cummins, K Qian, F Dong, BW Schuller Proceedings of the 40th Annual International Conference of the IEEE …, 2018 | 15 | 2018 |
| Validity of Machine Learning in Biology and Medicine Increased Through Collaborations Across Fields of Expertise M Littmann, K Selig, L Cohen-Lavi, Y Frank, P Hönigschmid, E Kataka, ... Nature Machine Intelligence 2, 18-24, 2020 | 13 | 2020 |
| Snore-GANs: Improving Automatic Snore Sound Classification with Synthesized Data Z Zhang, J Han, K Qian, C Janott, Y Guo, BW Schuller IEEE Journal of Biomedical and Health Informatics 24 (1), 300-310, 2020 | 13 | 2020 |
Björn SchullerProfessor of AI, Imperial College London & University of Augsburg & CSO, audEERINGVerified email at imperial.ac.uk
