| A review of depression and suicide risk assessment using speech analysis N Cummins, S Scherer, J Krajewski, S Schnieder, J Epps, TF Quatieri Speech Communication 71, 10-49, 2015 | 249 | 2015 |
| Avec 2017: Real-life depression, and affect recognition workshop and challenge F Ringeval, B Schuller, M Valstar, J Gratch, R Cowie, S Scherer, S Mozgai, ... Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge, 3-9, 2017 | 131 | 2017 |
| An investigation of depressed speech detection: Features and normalization N Cummins, J Epps, M Breakspear, R Goecke Twelfth Annual Conference of the International Speech Communication Association, 2011 | 98 | 2011 |
| Snore Sound Classification Using Image-Based Deep Spectrum Features. S Amiriparian, M Gerczuk, S Ottl, N Cummins, M Freitag, S Pugachevskiy, ... INTERSPEECH 434, 3512-3516, 2017 | 95 | 2017 |
| Diagnosis of depression by behavioural signals: a multimodal approach N Cummins, J Joshi, A Dhall, V Sethu, R Goecke, J Epps Proceedings of the 3rd ACM international workshop on Audio/visual emotion …, 2013 | 75 | 2013 |
| An investigation of annotation delay compensation and output-associative fusion for multimodal continuous emotion prediction Z Huang, T Dang, N Cummins, B Stasak, P Le, V Sethu, J Epps Proceedings of the 5th International Workshop on Audio/Visual Emotion …, 2015 | 60 | 2015 |
| AVEC 2018 workshop and challenge: Bipolar disorder and cross-cultural affect recognition F Ringeval, B Schuller, M Valstar, R Cowie, H Kaya, M Schmitt, ... Proceedings of the 2018 on audio/visual emotion challenge and workshop, 3-13, 2018 | 50 | 2018 |
| An image-based deep spectrum feature representation for the recognition of emotional speech N Cummins, S Amiriparian, G Hagerer, A Batliner, S Steidl, BW Schuller Proceedings of the 25th ACM international conference on Multimedia, 478-484, 2017 | 45 | 2017 |
| Modeling spectral variability for the classification of depressed speech. N Cummins, J Epps, V Sethu, M Breakspear, R Goecke Interspeech, 857-861, 2013 | 44 | 2013 |
| audeep: Unsupervised learning of representations from audio with deep recurrent neural networks M Freitag, S Amiriparian, S Pugachevskiy, N Cummins, B Schuller The Journal of Machine Learning Research 18 (1), 6340-6344, 2017 | 40 | 2017 |
| Sequence to sequence autoencoders for unsupervised representation learning from audio S Amiriparian, M Freitag, N Cummins, B Schuller Proc. of the DCASE 2017 Workshop, 2017 | 37 | 2017 |
| Analysis of acoustic space variability in speech affected by depression N Cummins, V Sethu, J Epps, S Schnieder, J Krajewski Speech Communication 75, 27-49, 2015 | 37 | 2015 |
| Advanced data exploitation in speech analysis: An overview Z Zhang, N Cummins, B Schuller IEEE Signal Processing Magazine 34 (4), 107-129, 2017 | 36 | 2017 |
| Spectro-temporal analysis of speech affected by depression and psychomotor retardation N Cummins, J Epps, E Ambikairajah 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 34 | 2013 |
| Variability compensation in small data: Oversampled extraction of i-vectors for the classification of depressed speech N Cummins, J Epps, V Sethu, J Krajewski 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 33 | 2014 |
| The use of technology in suicide prevention ME Larsen, N Cummins, TW Boonstra, B O'Dea, J Tighe, J Nicholas, ... 2015 37th annual international conference of the IEEE engineering in …, 2015 | 30 | 2015 |
| Strength modelling for real-worldautomatic continuous affect recognition from audiovisual signals J Han, Z Zhang, N Cummins, F Ringeval, B Schuller Image and Vision Computing 65, 76-86, 2017 | 27 | 2017 |
| The university of passau open emotion recognition system for the multimodal emotion challenge J Deng, N Cummins, J Han, X Xu, Z Ren, V Pandit, Z Zhang, B Schuller Chinese Conference on Pattern Recognition, 652-666, 2016 | 23 | 2016 |
| Forensic database of voice recordings of 500+ Australian English speakers GS Morrison, C Zhang, E Enzinger, F Ochoa, D Bleach, M Johnson, ... | 23 | 2015 |
| Automatic classification of autistic child vocalisations: A novel database and results A Baird, S Amiriparian, N Cummins, AM Alcorn, A Batliner, ... International Speech Communication Association 2017, 849-853, 2017 | 22 | 2017 |
Björn SchullerProfessor of AI, Imperial College London & University of Augsburg & CSO, audEERINGVerified email at imperial.ac.uk
