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Margaret Lech
Margaret Lech
Professor, School of Engineering, RMIT University, Melbourne, Australia
Verified email at rmit.edu.au
Title
Cited by
Cited by
Year
Evaluating deep learning architectures for speech emotion recognition
HM Fayek, M Lech, L Cavedon
Neural Networks 92, 60-68, 2017
5702017
Detection of clinical depression in adolescents’ speech during family interactions
LSA Low, NC Maddage, M Lech, LB Sheeber, NB Allen
IEEE Transactions on Biomedical Engineering 58 (3), 574-586, 2010
2692010
Hand-gesture recognition using two-antenna Doppler radar with deep convolutional neural networks
S Skaria, A Al-Hourani, M Lech, RJ Evans
IEEE Sensors Journal 19 (8), 3041-3048, 2019
2372019
Loudness perception and frequency discrimination in subjects with steeply sloping hearing loss: possible correlates of neural plasticity
HJ McDermott, M Lech, MS Kornblum, DRF Irvine
The Journal of the Acoustical Society of America 104 (4), 2314-2325, 1998
1281998
Towards real-time speech emotion recognition using deep neural networks
HM Fayek, M Lech, L Cavedon
2015 9th international conference on signal processing and communication …, 2015
1262015
Influence of acoustic low-level descriptors in the detection of clinical depression in adolescents
LSA Low, NC Maddage, M Lech, L Sheeber, N Allen
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
1112010
Two-stage deep learning approach to the classification of fine-art paintings
C Sandoval, E Pirogova, M Lech
IEEE Access 7, 41770-41781, 2019
1072019
Real-time speech emotion recognition using a pre-trained image classification network: Effects of bandwidth reduction and companding
M Lech, M Stolar, C Best, R Bolia
Frontiers in Computer Science 2, 14, 2020
1062020
Multichannel weighted speech classification system for prediction of major depression in adolescents
KEB Ooi, M Lech, NB Allen
IEEE Transactions on Biomedical Engineering 60 (2), 497-506, 2012
1012012
Study of empirical mode decomposition and spectral analysis for stress and emotion classification in natural speech
L He, M Lech, NC Maddage, NB Allen
Biomedical Signal Processing and Control 6 (2), 139-146, 2011
982011
Using grayscale images for object recognition with convolutional-recursive neural network
HM Bui, M Lech, E Cheng, K Neville, IS Burnett
2016 IEEE Sixth International Conference on Communications and Electronics …, 2016
812016
Real time speech emotion recognition using RGB image classification and transfer learning
MN Stolar, M Lech, RS Bolia, M Skinner
2017 11th International Conference on Signal Processing and Communication …, 2017
792017
Object recognition using deep convolutional features transformed by a recursive network structure
HM Bui, M Lech, E Cheng, K Neville, IS Burnett
IEEE Access 4, 10059-10066, 2016
762016
Modeling subjectiveness in emotion recognition with deep neural networks: Ensembles vs soft labels
HM Fayek, M Lech, L Cavedon
2016 international joint conference on neural networks (IJCNN), 566-570, 2016
742016
Automated Screening for Alzheimer's Dementia Through Spontaneous Speech.
MSS Syed, ZS Syed, M Lech, E Pirogova
Interspeech 2020, 2222-6, 2020
692020
Facial expression recognition using neural networks and log-gabor filters
SM Lajevardi, M Lech
2008 Digital Image Computing: Techniques and Applications, 77-83, 2008
622008
Facial expression recognition from image sequences using optimized feature selection
SM Lajevardi, M Lech
2008 23rd international conference image and vision computing New Zealand, 1-6, 2008
592008
Averaged Gabor filter features for facial expression recognition
SM Lajevardi, M Lech
2008 Digital Image Computing: Techniques and Applications, 71-76, 2008
532008
Stress detection using speech spectrograms and sigma-pi neuron units
L He, M Lech, NC Maddage, N Allen
2009 Fifth International Conference on Natural Computation 2, 260-264, 2009
512009
Automatic evaluation of hypernasality and consonant misarticulation in cleft palate speech
L He, J Zhang, Q Liu, H Yin, M Lech
IEEE Signal Processing Letters 21 (10), 1298-1301, 2014
432014
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