Vidhyasaharan Sethu
Vidhyasaharan Sethu
Associate Professor, The University of New South Wales
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Language identification: A tutorial
E Ambikairajah, H Li, L Wang, B Yin, V Sethu
IEEE Circuits and Systems Magazine 11 (2), 82-108, 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
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
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
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
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
Speaker normalisation for speech-based emotion detection
V Sethu, E Ambikairajah, J Epps
2007 15th international conference on digital signal processing, 611-614, 2007
Modulation Dynamic Features for the Detection of Replay Attacks.
G Suthokumar, V Sethu, C Wijenayake, E Ambikairajah
Interspeech, 691-695, 2018
Modeling spectral variability for the classification of depressed speech.
N Cummins, J Epps, V Sethu, M Breakspear, R Goecke
Interspeech, 857-861, 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
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
Deep siamese architecture based replay detection for secure voice biometric.
K Sriskandaraja, V Sethu, E Ambikairajah
Interspeech, 671-675, 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
Investigation of sub-band discriminative information between spoofed and genuine speech.
K Sriskandaraja, V Sethu, PN Le, E Ambikairajah
Interspeech, 1710-1714, 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
Bidirectional Modelling for Short Duration Language Identification.
S Fernando, V Sethu, E Ambikairajah, J Epps
Interspeech, 2809-2813, 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
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
The ambiguous world of emotion representation
V Sethu, EM Provost, J Epps, C Busso, N Cummins, S Narayanan
arXiv preprint arXiv:1909.00360, 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
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