| The INTERSPEECH 2017 Computational Paralinguistics Challenge: Addressee, Cold & Snoring B Schuller, S Steidl, A Batliner, E Bergelson, J Krajewski, C Janott, ... Proceedings of INTERSPEECH, 3442-3446, 2017 | 84 | 2017 |
| The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical & Self-assessed Affect, Crying & Heart Beats B Schuller, S Steidl, A Batliner, PB Marschik, H Baumeister, F Dong, ... Proceedings of INTERSPEECH, Hyderabad, India, 122-126, 2018 | 41 | 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 | 31 | 2017 |
| A Bag-of-Audio-Words Approach for Snore Sounds’ Excitation Localisation M Schmitt, C Janott, V Pandit, K Qian, C Heiser, W Hemmert, B Schuller Proceedings of the 12th ITG Conference on Speech Communication, 230-234, 2016 | 31 | 2016 |
| Deep Scalogram Representations for Acoustic Scene Classification Z Ren, K Qian, Z Zhang, V Pandit, A Baird, B Schuller IEEE/CAA Journal of Automatica Sinica 5 (3), 662-669, 2018 | 23 | 2018 |
| Deep Sequential Image Features for Acoustic Scene Classification Z Ren, V Pandit, K Qian, Z Yang, Z Zhang, B Schuller Proceedings of the Workshop on Detection and Classification of Acoustic …, 2017 | 22 | 2017 |
| Wavelet Features for Classification of VOTE Snore Sounds K Qian, C Janott, Z Zhang, C Heiser, B Schuller Proceedings of the 41st IEEE International Conference on Acoustics, Speech …, 2016 | 22 | 2016 |
| Wavelets Revisited for the Classification of Acoustic Scenes K Qian, Z Ren, V Pandit, Z Yang, Z Zhang, B Schuller Proceedings of the Workshop on Detection and Classification of Acoustic …, 2017 | 19 | 2017 |
| Speech-based Diagnosis of Autism Spectrum Condition by Generative Adversarial Network Representations J Deng, N Cummins, M Schmitt, K Qian, F Ringeval, B Schuller Proceedings of the 7th ACM Digital Health, 53-57, 2017 | 18 | 2017 |
| Bird Sounds Classification by Large Scale Acoustic Features and Extreme Learning Machine K Qian, Z Zhang, F Ringeval, B Schuller Proceedings of the 3rd IEEE Global Conference on Signal and Information …, 2015 | 16 | 2015 |
| 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 | 16 | 2015 |
| Attention-based Convolutional Neural Networks for Acoustic Scene Classification Z Ren, Q Kong, K Qian, M Plumbley, B Schuller Proceedings of the Workshop on Detection and Classification of Acoustic …, 2018 | 15 | 2018 |
| Active Learning for Bird Sound Classification via a Kernel-based Extreme Learning Machine K Qian, Z Zhang, A Baird, B Schuller The Journal of the Acoustical Society of America 142 (4), 1796-1804, 2017 | 14 | 2017 |
| Learning image-based representations for heart sound classification Z Ren, N Cummins, V Pandit, J Han, K Qian, B Schuller Proceedings of the 2018 International Conference on Digital Health, 143-147, 2018 | 11 | 2018 |
| 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 | 9 | 2018 |
| Snore Sound Recognition: On Wavelets and Classifiers from Deep Nets to Kernels K Qian, C Janott, J Deng, C Heiser, W Hohenhorst, M Herzog, N Cummins, ... Proceedings of the 39th Annual International Conference of the IEEE …, 2017 | 9 | 2017 |
| Automatic Detection of Inspiration Related Snoring Signals from Original Audio Recording K Qian, Z Xu, H Xu, BP Ng Proceedings of the 2nd IEEE China Summit & International Conference on …, 2014 | 9 | 2014 |
| Comparison of Two Acoustic Features for Classification of Different Snore Signals K Qian, Y Fang, Z Xu, H Xu Chinese Journal of Electron Devices 36 (4), 455-459, 2013 | 9 | 2013 |
| Active Learning for Bird Sounds Classification K Qian, Z Zhang, A Baird, B Schuller Acta Acustica united with Acustica 103 (3), 361-364, 2017 | 8 | 2017 |
| Deep Unsupervised Representation Learning for Abnormal Heart Sound Classification S Amiriparian, M Schmitt, N Cummins, K Qian, F Dong, B Schuller Proceedings of the 40th Annual International Conference of the IEEE …, 2018 | 6 | 2018 |
Björn SchullerProfessor of AI, Imperial College London & University of Augsburg & CSO, audEERINGVerified email at imperial.ac.uk
