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Margaret Lech
Margaret Lech
Professor, School of Engineering, RMIT University, Melbourne, Australia
Geverifieerd e-mailadres voor rmit.edu.au
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Evaluating deep learning architectures for speech emotion recognition
HM Fayek, M Lech, L Cavedon
Neural Networks 92, 60-68, 2017
5642017
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
2622010
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
2322019
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
1301998
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
1272015
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
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
1052020
Two-stage deep learning approach to the classification of fine-art paintings
C Sandoval, E Pirogova, M Lech
IEEE Access 7, 41770-41781, 2019
1042019
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
1032012
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
992011
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
802016
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
762017
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
752016
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
722016
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
632008
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
542008
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
502009
Content based clinical depression detection in adolescents
LSA Low, NC Maddage, M Lech, L Sheeber, N Allen
2009 17th European Signal Processing Conference, 2362-2366, 2009
442009
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Artikelen 1–20