• The University of Western Australia (M018), 35 Stirling Highway,

    6009 Perth

    Australia

  • 2008 Citations
  • 19 h-Index
1992 …2019
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Research Output 1992 2019

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Article

A Survey: Neural Network-Based Deep Learning for Acoustic Event Detection

Xia, X., Togneri, R., Sohel, F., Zhao, Y. & Huang, D., Aug 2019, In : Circuits, Systems, and Signal Processing. 38, 8, p. 3433-3453

Research output: Contribution to journalArticle

Event Detection
Acoustics
Neural Networks
Neural networks
Speech Processing

Auxiliary Classifier Generative Adversarial Network with Soft Labels in Imbalanced Acoustic Event Detection

Xia, X., Togneri, R., Sohel, F. & Huang, D., Jun 2019, In : IEEE Transactions on Multimedia. 21, 6, p. 1359-1371

Research output: Contribution to journalArticle

Labels
Classifiers
Acoustics
Acoustic waves

Convolutional neural network with second-order pooling for underwater target classification

Cao, X., Togneri, R., Zhang, X. & Yu, Y., 15 Apr 2019, In : IEEE Sensors Journal. 19, 8, p. 3058-3066

Research output: Contribution to journalArticle

Neural networks
learning
Acoustics
Sonar
filters

Enhanced q-least Mean Square

Sadiq, A., Khan, S., Naseem, I., Togneri, R. & Bennamoun, M., 26 Mar 2019, In : Circuits, Systems, and Signal Processing. 23 p.

Research output: Contribution to journalArticle

Least Mean Square
Q-calculus
Stochastic Gradient
Learning Rate
Gradient Algorithm

Underwater target classification at greater depths using deep neural network with joint multiple-domain feature

Cao, X., Zhang, X., Togneri, R. & Yu, Y., Mar 2019, In : IET Radar, Sonar & Navigation. 13, 3, p. 484-491 8 p.

Research output: Contribution to journalArticle

2018
1 Citation (Scopus)
17 Downloads (Pure)
Open Access
File
Fractals
Fractal dimension
Breast
Decomposition
Tissue
4 Citations (Scopus)

A Fractional Gradient Descent-Based RBF Neural Network

Khan, S., Naseem, I., Malik, M. A., Togneri, R. & Bennamoun, M., Dec 2018, In : Circuits, Systems and Signal Processing. 37, 12, p. 5311-5332 22 p.

Research output: Contribution to journalArticle

RBF Neural Network
Gradient Descent
Radial Basis Function Neural Network
Fractional
Neural networks

A new proof of a contrast function for bounded component analysis and further analysis

Gao, W., Fan, S., Togneri, R. & Sreeram, V., 4 Apr 2018, In : Computer Speech and Language. 51

Research output: Contribution to journalArticle

Blind source separation
Geometry
Experiments
Elementary matrix
Convex Geometry
4 Citations (Scopus)
Antifreeze Proteins
Peptides
Proteins
Protein
Prediction
10 Citations (Scopus)
Acoustics
2 Citations (Scopus)
90 Downloads (Pure)

Spectrotemporal Analysis Using Local Binary Pattern Variants for Acoustic Scene Classification

Abidin, S., Togneri, R. & Sohel, F., 1 Nov 2018, In : IEEE/ACM Transactions on Audio Speech and Language Processing. 26, 11, p. 2112-2121 10 p., 8410481.

Research output: Contribution to journalArticle

Open Access
File
Acoustics
Transform
Binary
acoustics
Adjacent
1 Citation (Scopus)
Face recognition
Face Recognition
Discriminant
Face
Wavelet Packet
2017
1 Citation (Scopus)
78 Downloads (Pure)

A Cascade Gray-Stereo Visual Feature Extraction Method For Visual and Audio-Visual Speech Recognition

Sui, C., Togneri, R. & Bennamoun, M., Jun 2017, In : Speech Communication. 90, p. 26-38 13 p.

Research output: Contribution to journalArticle

Open Access
File
Speech Recognition
Speech recognition
Feature Extraction
Cascade
Feature extraction
1 Citation (Scopus)

An Improved Parameterized Controller Reduction Technique via New Frequency Weighted Model Reduction Formulation

Jazlan, A., Houlis, P., Sreeram, V. & Togneri, R., 1 Nov 2017, In : Asian Journal of Control. 19, 6, p. 1920-1930 11 p.

Research output: Contribution to journalArticle

Controllers
Closed loop systems
Feedback control
MIMO systems
Feedback
12 Citations (Scopus)

A Novel Adaptive Kernel for the RBF Neural Networks

Khan, S., Naseem, I., Togneri, R. & Bennamoun, M., 1 Apr 2017, In : Circuits, Systems, and Signal Processing. 36, 4, p. 1639-1653 15 p.

Research output: Contribution to journalArticle

RBF Neural Network
kernel
Neural networks
Electric fuses
Nonlinear systems
35 Citations (Scopus)

Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data

Khan, S. H., Hayat, M., Bennamoun, M., Sohel, F. A. & Togneri, R., 17 Aug 2017, In : IEEE Transactions on Neural Networks and Learning Systems. 29, 8, p. 3573-3587

Research output: Contribution to journalArticle

Costs
Classifiers
Image classification
Sampling
Neural networks
5 Citations (Scopus)
Particle swarm optimization (PSO)
Feature extraction
Speech recognition
Deep learning
10 Citations (Scopus)

ECMSRC: A sparse learning approach for the prediction of extracellular matrix proteins

Naseem, I., Khan, S., Togneri, R. & Bennamoun, M., 1 Aug 2017, In : Current Bioinformatics. 12, 4, p. 361-368 8 p.

Research output: Contribution to journalArticle

Extracellular Matrix Proteins
Extracellular Matrix
Learning
Proteins
Protein
8 Citations (Scopus)

Frequency Interval Cross Gramians for Linear and Bilinear Systems

Jazlan, A., Sreeram, V., Shaker, H. R., Togneri, R. & Minh, H. B., 1 Jan 2017, In : Asian Journal of Control. 19, 1, p. 22-34 13 p.

Research output: Contribution to journalArticle

Observability
Controllability
Computational efficiency
2016
26 Citations (Scopus)

A Discriminative Representation of Convolutional Features for Indoor Scene Recognition

Khan, S., Hayat, M., Bennamoun, M., Togneri, R. & Sohel, F. A., Jul 2016, In : IEEE Transactions on Image Processing. 25, 7, p. 3372-3383

Research output: Contribution to journalArticle

Chemical activation
Object recognition
Neural networks
8 Citations (Scopus)
Mobile phones
Identification (control systems)
Image recognition
Bayesian networks
Support vector machines
69 Citations (Scopus)
467 Downloads (Pure)

Automatic shadow detection and removal from a single image

Khan, S. H., Bennamoun, M., Sohel, F. & Togneri, R., 1 Mar 2016, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 38, 3, p. 431-446 16 p.

Research output: Contribution to journalArticle

Open Access
File
1 Citation (Scopus)

Frequency interval balanced truncation of discrete-time bilinear systems

Jazlan, A., Sreeram, V., Shaker, H. R. & Togneri, R., 2016, In : Cogent Engineering. 3, 1, p. 1-15 15 p.

Research output: Contribution to journalArticle

Open Access
Observability
Controllability
13 Citations (Scopus)
238 Downloads (Pure)
Open Access
File
Labeling
Semantics
Pixels
Geometry
Labels
2 Citations (Scopus)

Iris recognition using class-specific dictionaries

Naseem, I., Aleem, A., Togneri, R. & Bennamoun, M., Aug 2016, In : Computers and Electrical Engineering. 62, p. 178-193 16 p.

Research output: Contribution to journalArticle

Glossaries
Fusion reactions
Inverse problems
1 Citation (Scopus)

Partial fraction expansion based frequency weighted model reduction for discrete-time systems

Kumar, D., Jazlan, A., Sreeram, V. & Togneri, R., 2016, In : Numerical Algebra, Control and Optimization. 6, 3, p. 329-337 9 p.

Research output: Contribution to journalArticle

Partial fractions
Model Reduction
Discrete-time Systems
Weighting Function
Reduced Order Model
2015
16 Citations (Scopus)
196 Downloads (Pure)

A confidence-based late fusion framework for audio-visual biometric identification

Alam, M., Bennamoun, M., Togneri, R. & Sohel, F., 15 Jan 2015, In : Pattern Recognition Letters. 52, p. 65-71

Research output: Contribution to journalArticle

Open Access
File
Biometrics
Fusion reactions
Experiments
Cancer Classification
Gene Selection
Neoplasm Genes
Microarrays
Microarray Data

The investigation of frame disturbance (FD) in perceptual evaluation speech quality (PESQ) as a perceptual metric

Jusoh, A. Z., Togneri, R., Nordholm, S., Sulaiman, N. & Khairolanuar, M. H., 2015, In : ARPN Journal of Engineering and Applied Sciences. 10, 15, p. 6365-6369

Research output: Contribution to journalArticle

Telecommunication
Radio links
Signal interference
Bit error rate
Standardization
2014
7 Citations (Scopus)

Hybrid metaheuristic approaches to the expectation maximization for estimation of the hidden markov model for signal modeling

Huda, S. S., Yearwood, J. L. & Togneri, R., 2014, In : IEEE Transactions on Cybernetics. 44, 10, p. 1962-1977

Research output: Contribution to journalArticle

Hidden Markov models
Learning
Simulated annealing
Research
2 Citations (Scopus)

Quantifying target spotting performances with complex geoscientific imagery using ERP P300 responses

Sivarajah, Y., Holden, E-J., Togneri, R., Price, G. W. & Tan, T., 2014, In : International Journal of Human-Computer Studies. 72, 3, p. 275-283

Research output: Contribution to journalArticle

Enterprise resource planning
Electroencephalography
interpreter
performance
Brain
3 Citations (Scopus)

Visual saliency and potential field data enhancements:Where is your attention drawn?

Sivarajah, Y., Holden, E-J., Togneri, R., Dentith, M. & Lindsay, M., 2014, In : Interpretation. 2, p. 9-21

Research output: Contribution to journalArticle

2013
3 Citations (Scopus)

Evaluations on underdetermined blind source separation in adverse environments using time-frequency masking

Jafari, I., Haque, S., Togneri, R. & Nordholm, S., 2013, In : Eurasip Journal on Advances in Signal Processing. 1, 162, p. NA

Research output: Contribution to journalArticle

Open Access
4 Citations (Scopus)
13 Citations (Scopus)

Speech enhancement strategy for speech recognition microcontroller under noisy environments

Yan Chan, K., Nordholm, S. E., Yiu, K. F. C. & Togneri, R., 2013, In : Neurocomputing. 118, p. 279-288

Research output: Contribution to journalArticle

Speech enhancement
Microcontrollers
Speech recognition
Noise
Automobile engines
92 Citations (Scopus)

Robust regression for face recognition

Naseem, I., Togneri, R. & Bennamoun, M., 2012, In : Pattern Recognition. 45, 1, p. 104-118

Research output: Contribution to journalArticle

Face recognition
Linear regression
Lighting
Pixels
Speckle
2011
3 Citations (Scopus)

An Auditory Motivated Asymmetric Compression Technique for Speech Recognition

Haque, S., Togneri, R. & Zaknich, A., 2011, In : IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING. 19, 7, p. 2111-2124

Research output: Contribution to journalArticle

speech recognition
Speech recognition
Parameterization
parameterization
coefficients
10 Citations (Scopus)
4 Citations (Scopus)
2010
19 Citations (Scopus)

A novel fuzzy clustering algorithm using observation weighting and context information for reverberant blind speech separation

Kuhne, M., Togneri, R. & Nordholm, S., 2010, In : IET Signal Processing. 90, p. 653-669

Research output: Contribution to journalArticle

646 Citations (Scopus)

Linear Regression for Face Recognition

Naseem, I., Togneri, R. & Bennamoun, M., 2010, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 32, 11, p. 2106-2112

Research output: Contribution to journalArticle

2009
18 Citations (Scopus)
Hidden Markov models
Learning
Fusion reactions
Lagrange multipliers
Constrained optimization
16 Citations (Scopus)

A stochastic version of Expectation Maximization algorithm for better estimation of Hidden Markov Model

Huda, S., Yearwood, J. & Togneri, R., 2009, In : Pattern Recognition Letters. 30, 14, p. 1301-1309

Research output: Contribution to journalArticle

Hidden Markov models
Simulated annealing
Random processes
Speech recognition
Experiments
29 Citations (Scopus)

Perceptual features for automatic speech recognition in noisy environments

Haque, S., Togneri, R. & Zaknich, A., 2009, In : Speech Communication. 51, 1, p. 58-75

Research output: Contribution to journalArticle

Automatic Speech Recognition
Speech recognition
Zero-crossing
suppression
Gaussian White Noise
22 Citations (Scopus)

Robust Source Localization in Reverberant Environments Based on Weighted Fuzzy Clustering

Kuhne, M., Togneri, R. & Nordholm, S. E., 2009, In : IEEE Signal Processing Letters. 16, 2, p. 85-88

Research output: Contribution to journalArticle

Source Localization
Fuzzy clustering
Fuzzy Clustering
Reverberation
Acoustic waves
2006
4 Citations (Scopus)
State-space Model
neural network
Neural Networks
Neural networks
Prediction