| Language identification: A tutorial E Ambikairajah, H Li, L Wang, B Yin, V Sethu IEEE Circuits and Systems Magazine 11 (2), 82-108, 2011 | 183 | 2011 |
| 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 | 153 | 2013 |
| Machine learning for accelerated discovery of solar photocatalysts H Masood, CY Toe, WY Teoh, V Sethu, R Amal Acs Catalysis 9 (12), 11774-11787, 2019 | 120 | 2019 |
| 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 | 109 | 2015 |
| Investigation of spectral centroid features for cognitive load classification PN Le, E Ambikairajah, J Epps, V Sethu, EHC Choi Speech Communication 53 (4), 540-551, 2011 | 96 | 2011 |
| 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 | 90 | 2015 |
| Speaker normalisation for speech-based emotion detection V Sethu, E Ambikairajah, J Epps 2007 15th international conference on digital signal processing, 611-614, 2007 | 78 | 2007 |
| Modulation Dynamic Features for the Detection of Replay Attacks. G Suthokumar, V Sethu, C Wijenayake, E Ambikairajah Interspeech, 691-695, 2018 | 66 | 2018 |
| Modeling spectral variability for the classification of depressed speech. N Cummins, J Epps, V Sethu, M Breakspear, R Goecke Interspeech, 857-861, 2013 | 66 | 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 | 61 | 2014 |
| Investigating word affect features and fusion of probabilistic predictions incorporating uncertainty in AVEC 2017 T Dang, B Stasak, Z Huang, S Jayawardena, M Atcheson, M Hayat, P Le, ... Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge, 27-35, 2017 | 54 | 2017 |
| Deep siamese architecture based replay detection for secure voice biometric. K Sriskandaraja, V Sethu, E Ambikairajah Interspeech, 671-675, 2018 | 53 | 2018 |
| Front-end for antispoofing countermeasures in speaker verification: Scattering spectral decomposition K Sriskandaraja, V Sethu, E Ambikairajah, H Li IEEE Journal of Selected Topics in Signal Processing 11 (4), 632-643, 2016 | 50 | 2016 |
| Investigation of sub-band discriminative information between spoofed and genuine speech. K Sriskandaraja, V Sethu, PN Le, E Ambikairajah Interspeech, 1710-1714, 2016 | 47 | 2016 |
| Empirical mode decomposition based weighted frequency feature for speech-based emotion classification V Sethu, E Ambikairajah, J Epps 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 47 | 2008 |
| Bidirectional Modelling for Short Duration Language Identification. S Fernando, V Sethu, E Ambikairajah, J Epps Interspeech, 2809-2813, 2017 | 46 | 2017 |
| A novel technique for noise reduction in InSAR images D Meng, V Sethu, E Ambikairajah, L Ge IEEE Geoscience and Remote Sensing Letters 4 (2), 226-230, 2007 | 43 | 2007 |
| Natural language processing methods for acoustic and landmark event-based features in speech-based depression detection Z Huang, J Epps, D Joachim, V Sethu IEEE Journal of selected topics in Signal Processing 14 (2), 435-448, 2019 | 41 | 2019 |
| The ambiguous world of emotion representation V Sethu, EM Provost, J Epps, C Busso, N Cummins, S Narayanan arXiv preprint arXiv:1909.00360, 2019 | 39 | 2019 |
| Generalized two-stage rank regression framework for depression score prediction from speech N Cummins, V Sethu, J Epps, JR Williamson, TF Quatieri, J Krajewski IEEE Transactions on Affective Computing 11 (2), 272-283, 2017 | 39 | 2017 |
