| Language identification: A tutorial E Ambikairajah, H Li, L Wang, B Yin, V Sethu IEEE Circuits and Systems Magazine 11 (2), 82-108, 2011 | 177 | 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 | 134 | 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 | 104 | 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 | 100 | 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 | 89 | 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 | 87 | 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 | 75 | 2007 |
| Modeling spectral variability for the classification of depressed speech. N Cummins, J Epps, V Sethu, M Breakspear, R Goecke Interspeech, 857-861, 2013 | 62 | 2013 |
| Modulation Dynamic Features for the Detection of Replay Attacks. G Suthokumar, V Sethu, C Wijenayake, E Ambikairajah Interspeech, 691-695, 2018 | 60 | 2018 |
| 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 | 57 | 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 | 52 | 2017 |
| Deep siamese architecture based replay detection for secure voice biometric. K Sriskandaraja, V Sethu, E Ambikairajah Interspeech, 671-675, 2018 | 51 | 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 | 48 | 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 | 46 | 2008 |
| Bidirectional Modelling for Short Duration Language Identification. S Fernando, V Sethu, E Ambikairajah, J Epps Interspeech, 2809-2813, 2017 | 45 | 2017 |
| Investigation of sub-band discriminative information between spoofed and genuine speech. K Sriskandaraja, V Sethu, PN Le, E Ambikairajah Interspeech, 1710-1714, 2016 | 44 | 2016 |
| 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 | 40 | 2007 |
| Phonetic and speaker variations in automatic emotion classification V Sethu, E Ambikairajah, J Epps Ninth Annual Conference of the International Speech Communication Association, 2008 | 37 | 2008 |
| Staircase regression in OA RVM, data selection and gender dependency in AVEC 2016 Z Huang, B Stasak, T Dang, K Wataraka Gamage, P Le, V Sethu, J Epps Proceedings of the 6th International Workshop on Audio/Visual Emotion …, 2016 | 36 | 2016 |
| Speech based emotion recognition V Sethu, J Epps, E Ambikairajah Speech and Audio Processing for Coding, Enhancement and Recognition, 197-228, 2014 | 36 | 2014 |
