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
2062017
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
1392010
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
1201998
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
782011
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
762010
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
652012
Facial expression recognition using neural networks and log-gabor filters
SM Lajevardi, M Lech
2008 Digital Image Computing: Techniques and Applications, 77-83, 2008
552008
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
512015
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
482008
Averaged gabor filter features for facial expression recognition
SM Lajevardi, M Lech
2008 Digital Image Computing: Techniques and Applications, 71-76, 2008
452008
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
422019
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
412009
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
352014
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
332016
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
332009
Stress and emotion recognition using log-Gabor filter analysis of speech spectrograms
L He, M Lech, N Maddage, N Allen
2009 3rd International Conference on Affective Computing and Intelligent …, 2009
322009
Mel frequency cepstral feature and Gaussian Mixtures for modeling clinical depression in adolescents
LSA Low, NC Maddage, M Lech, N Allen
2009 8th IEEE International Conference on Cognitive Informatics, 346-350, 2009
302009
Search for high-performance probe-fed stacked patches using optimization
A Mitchell, M Lech, DM Kokotoff, RB Waterhouse
IEEE Transactions on Antennas and Propagation 51 (2), 249-255, 2003
292003
Speaker verification based on different vector quantization techniques with Gaussian mixture models
S Memon, M Lech, N Maddage
2009 Third International Conference on Network and System Security, 403-408, 2009
252009
On the Correlation and Transferability of Features Between Automatic Speech Recognition and Speech Emotion Recognition.
HM Fayek, M Lech, L Cavedon
Interspeech, 3618-3622, 2016
242016
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