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2020 – today
- 2023
[j27]Yi-Hsuan Cheng
, Margaret Lech, Richardt H. Wilkinson:
Distributed Neural Network System for Multimodal Sleep Stage Detection. IEEE Access 11: 29048-29061 (2023)- [j26]Denis Shitov, Elena Pirogova, Tadeusz A. Wysocki, Margaret Lech:
Deep Reinforcement Learning for Articulatory Synthesis in a Vowel-to-Vowel Imitation Task. Sensors 23(7): 3437 (2023) - [j25]Yi-Hsuan Cheng, Margaret Lech, Richardt H. Wilkinson:
Simultaneous Sleep Stage and Sleep Disorder Detection from Multimodal Sensors Using Deep Learning. Sensors 23(7): 3468 (2023) - 2022
- [j24]Catherine S. Rodriguez, Melissa N. Stolar, Simon G. Hosking, Dawei Jia, Margaret Lech:
Real-Time Team Performance and Workload Prediction From Voice Communications. IEEE Access 10: 78484-78492 (2022) - 2021
- [j23]Catherine Sandoval Rodriguez, Elena Pirogova, Margaret Lech:
Adversarial Learning Approach to Unsupervised Labeling of Fine Art Paintings. IEEE Access 9: 81969-81985 (2021) - [j22]Zafi Sherhan Syed, Muhammad Shehram Shah Syed, Margaret Lech, Elena Pirogova:
Automated Recognition of Alzheimer's Dementia Using Bag-of-Deep-Features and Model Ensembling. IEEE Access 9: 88377-88390 (2021) - [j21]Xingda Chen, Margaret Lech, Liuping Wang:
A Complete Key Management Scheme for LoRaWAN v1.1. Sensors 21(9): 2962 (2021) - [j20]Maria Vukovic, Melissa N. Stolar, Margaret Lech:
Cognitive Load Estimation From Speech Commands to Simulated Aircraft. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1011-1022 (2021) - [c48]Yi-Hsuan Cheng, Margaret Lech, Richardt H. Wilkinson:
Sleep Stage Recognition from EEG Using a Distributed Multi-Channel Decision-Making System. ICSPCS 2021: 1-7 - [c47]Zafi Sherhan Syed, Muhammad Shehram Shah Syed, Margaret Lech, Elena Pirogova:
Tackling the ADRESSO Challenge 2021: The MUET-RMIT System for Alzheimer's Dementia Recognition from Spontaneous Speech. Interspeech 2021: 3815-3819 - [c46]Kosta Dakic, Bassel Al Homssi, Akram Al-Hourani, Margaret Lech:
LoRa Signal Demodulation Using Deep Learning, a Time-Domain Approach. VTC Spring 2021: 1-6 - [i1]Kosta Dakic, Bassel Al Homssi, Margaret Lech, Akram Al-Hourani:
HybNet: A Hybrid Deep Learning - Matched Filter Approach for IoT Signal Detection. CoRR abs/2111.10557 (2021) - 2020
- [j19]Huynh The Vu, Richardt H. Wilkinson, Margaret Lech, Eva Cheng:
A Hybrid Neural Network for Graph-Based Human Pose Estimation From 2D Images. IEEE Access 8: 52830-52840 (2020) - [j18]Denis Shitov, Elena Pirogova, Tadeusz A. Wysocki, Margaret Lech:
Learning Acoustic Word Embeddings With Dynamic Time Warping Triplet Networks. IEEE Access 8: 103327-103338 (2020) - [j17]Catherine Sandoval Rodriguez, April Rose Panganiban, Melissa N. Stolar, Robert S. Bolia, Margaret Lech:
Prediction of Inter-Personal Trust and Team Familiarity From Speech: A Double Transfer Learning Approach. IEEE Access 8: 225437-225447 (2020) - [j16]Margaret Lech, Melissa N. Stolar, Christopher J. Best, Robert S. Bolia:
Real-Time Speech Emotion Recognition Using a Pre-trained Image Classification Network: Effects of Bandwidth Reduction and Companding. Frontiers Comput. Sci. 2: 14 (2020) - [c45]Aamir Shabbir Hussain, Elena Pirogova, Margaret Lech:
Multi-Label Crowd Size And Location Recognition From Images. ICSPCS 2020: 1-9 - [c44]Catherine Sandoval Rodriguez, Elena Pirogova, Margaret Lech:
Classification of Fine-Art Paintings with Simulated Partial Damages. ICSPCS 2020: 1-8 - [c43]Muhammad Shehram Shah Syed, Elena Pirogova, Margaret Lech:
Multimodal Prediction of Public Trust in Politicians from Speech and Text. ICSPCS 2020: 1-6 - [c42]Sruthy Skaria, Da Huang, Akram Al-Hourani, Robin J. Evans, Margaret Lech:
Deep-Learning for Hand-Gesture Recognition with Simultaneous Thermal and Radar Sensors. IEEE SENSORS 2020: 1-4 - [c41]Muhammad Shehram Shah Syed, Zafi Sherhan Syed, Margaret Lech, Elena Pirogova:
Automated Screening for Alzheimer's Dementia Through Spontaneous Speech. INTERSPEECH 2020: 2222-2226
2010 – 2019
- 2019
- [j15]Catherine S. Rodriguez, Elena Pirogova, Margaret Lech:
Two-Stage Deep Learning Approach to the Classification of Fine-Art Paintings. IEEE Access 7: 41770-41781 (2019) - [j14]Maria Vukovic, Vidhyasaharan Sethu, Jessica Parker, Lawrence Cavedon, Margaret Lech, John Thangarajah:
Estimating cognitive load from speech gathered in a complex real-life training exercise. Int. J. Hum. Comput. Stud. 124: 116-133 (2019) - [j13]Ling He, Xiyue Wang, Jing Zhang, Qi Liu, Heng Yin, Margaret Lech:
Automatic detection of consonant omission in cleft palate speech. Int. J. Speech Technol. 22(1): 59-65 (2019) - [c40]Quang Tri Chiem, Margaret Lech, Richardt H. Wilkinson:
A Hybrid Two-Stage 3D Object Recognition from Orthogonal Projections. ICSPCS 2019: 1-5 - [c39]Muhammad Shehram Shah Syed, Melissa N. Stolar, Elena Pirogova, Margaret Lech:
Speech Acoustic Features Characterising Individuals with High and Low Public Trust. ICSPCS 2019: 1-9 - [c38]Yadollah Zamanidoost, Sattar Mirzakuchaki, Margaret Lech, Richardt H. Wilkinson:
A Fully Automatic Mid-Diastole Frame Detection in 2D Echocardiography Sequences. ICSPCS 2019: 1-7 - 2018
- [j12]Ling He, Jing Zhang, Qi Liu, Junpeng Zhang, Heng Yin, Margaret Lech:
Automatic detection of glottal stop in cleft palate speech. Biomed. Signal Process. Control. 39: 230-236 (2018) - [c37]Dorian House, Margaret Lech, Melissa N. Stolar:
Using Deep Learning to Identify Potential Roof Spaces for Solar Panels. ICSPCS 2018: 1-6 - [c36]Catherine Sandoval Rodriguez, Margaret Lech, Elena Pirogova:
Classification of Style in Fine-Art Paintings Using Transfer Learning and Weighted Image Patches. ICSPCS 2018: 1-7 - [c35]Denis Shitov, Elena Pirogova, Margaret Lech:
Assessment of Features for Neurocomputational Modeling of Speech Acquisition. ICSPCS 2018: 1-5 - [c34]Melissa N. Stolar, Margaret Lech, Robert S. Bolia, Michael Skinner:
Acoustic Characteristics of Emotional Speech Using Spectrogram Image Classification. ICSPCS 2018: 1-5 - [c33]Xiaoying Wang, Eva Cheng, Ian S. Burnett, Richardt H. Wilkinson, Margaret Lech:
Automatic tracking of multiple zebrafish larvae with resilience against segmentation errors. ISBI 2018: 1157-1160 - 2017
- [j11]Haytham M. Fayek, Margaret Lech, Lawrence Cavedon:
Evaluating deep learning architectures for Speech Emotion Recognition. Neural Networks 92: 60-68 (2017) - [c32]Quang Tri Chiem, Richardt H. Wilkinson, Margaret Lech, Eva Cheng:
Investigating Keypoint Repeatability for 3D Correspondence Estimation in Cluttered Scenes. DICTA 2017: 1-7 - [c31]Huynh The Vu, Richardt H. Wilkinson, Margaret Lech, Eva Cheng:
A Comparison between Anatomy-Based and Data-Driven Tree Models for Human Pose Estimation. DICTA 2017: 1-7 - [c30]Melissa N. Stolar, Margaret Lech, Robert S. Bolia, Michael Skinner:
Real time speech emotion recognition using RGB image classification and transfer learning. ICSPCS 2017: 1-8 - [c29]Melissa N. Stolar, Margaret Lech, Robert S. Bolia, Michael Skinner:
Towards autonomous machine reasoning: Multi-stage classification system with intermediate learning. ICSPCS 2017: 1-6 - 2016
- [j10]Hieu Minh Bui, Margaret Lech, Eva Cheng, Katrina Neville, Ian S. Burnett:
Object Recognition Using Deep Convolutional Features Transformed by a Recursive Network Structure. IEEE Access 4: 10059-10066 (2016) - [c28]Abas Albahri, Margaret Lech:
Effects of band reduction and coding on speech emotion recognition. ICSPCS 2016: 1-8 - [c27]Abas Albahri, Catherine S. Rodriguez, Margaret Lech:
Artificial bandwidth extension to improve automatic emotion recognition from narrow-band coded speech. ICSPCS 2016: 1-7 - [c26]Haytham M. Fayek, Margaret Lech, Lawrence Cavedon:
Modeling subjectiveness in emotion recognition with deep neural networks: Ensembles vs soft labels. IJCNN 2016: 566-570 - [c25]Haytham M. Fayek, Margaret Lech, Lawrence Cavedon:
On the Correlation and Transferability of Features Between Automatic Speech Recognition and Speech Emotion Recognition. INTERSPEECH 2016: 3618-3622 - 2015
- [j9]Ling He, Jing Zhang, Qi Liu, Heng Yin, Margaret Lech, Yunzhi Huang:
Automatic Evaluation of Hypernasality Based on a Cleft Palate Speech Database. J. Medical Syst. 39(5): 61 (2015) - [c24]Ling He, Jie Tan, HuaQing Hao, Ming Tang, Heng Yin, Margaret Lech:
Automatic evaluation of resonance and articulation disorders in cleft palate speech. ChinaSIP 2015: 358-362 - [c23]Melissa N. Stolar, Margaret Lech, Nicholas B. Allen:
Detection of depression in adolescents based on statistical modeling of emotional influences in parent-adolescent conversations. ICASSP 2015: 987-991 - [c22]Haytham M. Fayek, Margaret Lech, Lawrence Cavedon:
Towards real-time Speech Emotion Recognition using deep neural networks. ICSPCS 2015: 1-5 - [c21]Abdel Y. Hussenbocus, Margaret Lech, Nicholas B. Allen:
Statistical differences in speech acoustics of major depressed and non-depressed adolescents. ICSPCS 2015: 1-7 - [c20]Louis Quinn, Margaret Lech:
Multi-stage classification network for automatic age estimation from facial images. ICSPCS 2015: 1-6 - [c19]Melissa N. Stolar, Margaret Lech, Ian S. Burnett:
Prediction of emotional states in parent-adolescent conversations using non-linear autoregressive neural networks. ICSPCS 2015: 1-6 - 2014
- [j8]Kuan Ee Brian Ooi, Margaret Lech, Nicholas B. Allen:
Prediction of major depression in adolescents using an optimized multi-channel weighted speech classification system. Biomed. Signal Process. Control. 14: 228-239 (2014) - [j7]Ling He, Jing Zhang, Qi Liu, Heng Yin, Margaret Lech:
Automatic Evaluation of Hypernasality and Consonant Misarticulation in Cleft Palate Speech. IEEE Signal Process. Lett. 21(10): 1298-1301 (2014) - 2013
- [j6]Melissa N. Stolar, Margaret Lech, Lisa Sheeber, Ian S. Burnett, Nicholas B. Allen:
Introducing Emotions to the Modelingof Intra- and Inter-Personal Influencesin Parent-Adolescent Conversations. IEEE Trans. Affect. Comput. 4(4): 372-385 (2013) - [j5]Kuan Ee Brian Ooi, Margaret Lech, Nicholas B. Allen:
Multichannel Weighted Speech Classification System for Prediction of Major Depression in Adolescents. IEEE Trans. Biomed. Eng. 60(2): 497-506 (2013) - [c18]Ling He, Margaret Lech, Jing Zhang, Xiaomei Ren, Lihua Deng:
Study of wavelet packet energy entropy for emotion classification in speech and glottal signals. ICDIP 2013: 887834 - 2012
- [c17]Kuan Ee Brian Ooi, Lu-Shih Alex Low, Margaret Lech, Nicholas B. Allen:
Early prediction of major depression in adolescents using glottal wave characteristics and Teager Energy parameters. ICASSP 2012: 4613-4616 - 2011
- [j4]Ling He, Margaret Lech, Namunu C. Maddage, Nicholas B. Allen:
Study of empirical mode decomposition and spectral analysis for stress and emotion classification in natural speech. Biomed. Signal Process. Control. 6(2): 139-146 (2011) - [j3]Lu-Shih Alex Low, Namunu C. Maddage, Margaret Lech, Lisa Sheeber, Nicholas B. Allen:
Detection of Clinical Depression in Adolescents' Speech During Family Interactions. IEEE Trans. Biomed. Eng. 58(3): 574-586 (2011) - 2010
- [c16]Lu-Shih Alex Low, Namunu Chinthaka Maddage, Margaret Lech, Lisa Sheeber, Nicholas B. Allen:
Influence of acoustic low-level descriptors in the detection of clinical depression in adolescents. ICASSP 2010: 5154-5157 - [c15]Sheeraz Memon, Margaret Lech, Namunu Chinthaka Maddage:
Information Theoretic Expectation Maximization Based Gaussian Mixture Modeling for Speaker Verification. ICPR 2010: 4536-4540 - [c14]Ling He, Margaret Lech, Nicholas B. Allen:
On the importance of glottal flow spectral energy for the recognition of emotions in speech. INTERSPEECH 2010: 2346-2349
2000 – 2009
- 2009
- [c13]Lu-Shih Alex Low, Namunu Chinthaka Maddage, Margaret Lech, Nicholas B. Allen:
Mel frequency cepstral feature and Gaussian Mixtures for modeling clinical depression in adolescents. IEEE ICCI 2009: 346-350 - [c12]Ling He, Margaret Lech, Namunu Chinthaka Maddage, Nicholas B. Allen:
Stress and emotion recognition using log-Gabor filter analysis of speech spectrograms. ACII 2009: 1-6 - [c11]Lu-Shih Alex Low, Namunu C. Maddage, Margaret Lech, Lisa Sheeber, Nicholas B. Allen:
Content based clinical depression detection in adolescents. EUSIPCO 2009: 2362-2366 - [c10]Ling He, Margaret Lech, Namunu Chinthaka Maddage, Nicholas B. Allen:
Neural Networks and TEO Features for an Automatic Recognition of Stress in Spontaneous Speech. ICNC (2) 2009: 227-231 - [c9]Ling He, Margaret Lech, Namunu Chinthaka Maddage, Nicholas B. Allen:
Stress Detection Using Speech Spectrograms and Sigma-pi Neuron Units. ICNC (2) 2009: 260-264 - [c8]Sheeraz Memon, Margaret Lech, Namunu Chinthaka Maddage:
Speaker Verification Based on Different Vector Quantization Techniques with Gaussian Mixture Models. NSS 2009: 403-408 - 2008
- [c7]Seyed Mehdi Lajevardi, Margaret Lech:
Averaged Gabor Filter Features for Facial Expression Recognition. DICTA 2008: 71-76 - [c6]Seyed Mehdi Lajevardi, Margaret Lech:
Facial Expression Recognition Using Neural Networks and Log-Gabor Filters. DICTA 2008: 77-83 - [c5]Sheeraz Memon, Margaret Lech:
Using information theoretic vector quantization for GMM based speaker verification. EUSIPCO 2008: 1-5 - [c4]Sheeraz Memon, Margaret Lech:
Speaker Verification Based on Information Theoretic Vector Quantization. IMTIC 2008: 391-399 - [c3]Ling He, Margaret Lech, Sheeraz Memon, Nicholas B. Allen:
Recognition of stress in speech using wavelet analysis and Teager energy operator. INTERSPEECH 2008: 605-608 - 2004
- [c2]Hai V. Phan, Margaret Lech, Thuc D. Nguyen:
Registration of 3D Range Images Using Particle Swarm Optimization. ASIAN 2004: 223-235 - 2003
- [j2]Chandranath R. N. Athaudage, Alan B. Bradley, Margaret Lech:
Model-Based Speech Signal Coding Using Optimized Temporal Decomposition for Storage and Broadcasting Applications. EURASIP J. Adv. Signal Process. 2003(10): 1016-1026 (2003) - [j1]James H. Nealand, Alan B. Bradley, Margaret Lech:
Overlap-save convolution applied to wavelet analysis. IEEE Signal Process. Lett. 10(2): 47-49 (2003)
1990 – 1999
- 1999
- [c1]Chandranath R. N. Athaudage, Alan B. Bradley, Margaret Lech:
Optimization of a temporal decomposition model of speech. ISSPA 1999: 471-474
Coauthor Index
Namunu Chinthaka Maddage
aka: Namunu C. Maddage
aka: Namunu C. Maddage
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last updated on 2024-10-07 22:24 CEST by the dblp team
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