Correlation-aware Adversarial Domain Adaptation and Generalization,
M. Rahman, C. Fookes, and S. Sridharan, Pattern Recognition, 2020 (in print).
Joint Identification-Verification for Person Re-Identification: A Four Stream Deep Learning Approach with Improved Quartet Loss Function,
A. Khatun, S. Denman, S. Sridharan, C. Fookes, Computer Vision and Image Understanding, 2020 (in print).
Hierarchical Attention Network for Action Segmentation,
H. Gammulle, S. Denman, S. Sridharan, and C. Fookes, Pattern Recognition Letters, vol: 131, 442-448, 2020.
Temporarily-Aware Context Modelling using Generative Adversarial Networks for Speech Activity Detection,
T. Fernando, S. Sridharan, M. McLaren, D. Priyasad, S. Denman, and C. Fookes IEEE Trans. on Audio, Speech, and Language Processing, 2020 (in print)
Spatiotemporal Camera-LiDAR Calibration: A Targetless and Structureless Approach,
C. Park, P. Moghadam, S. Kim, C. Fookes, and S. Sridharan, IEEE Robotics and Automation Letters, 2020, (in print).
Deep Inverse Reinforcement Learning for Autonomous Driving,
T. Fernando, S. Denman, S. Sridharan, and C. Fookes, Signal Processing Magazine, 2020 (in print)
LSTM Guided Ensemble Correlation Filter Tracking with Appearance Model Pool,
M. Jain, A.V. Subramanyam, S. Denman, S. Sridharan, and C. Fookes, Computer Vision and Image Understanding, 2020 (in print).
Identification of children at risk of schizophrenia via deep learning and EEG responses,
D. Ahmedt-Aristizabal, T. Fernando, S. Denman, J. Edward, S. Sridharan, P. Johnston, K. Laurens, and C. Fookes, IEEE Journal of Biomedical and Health Informatics, pp. 1-7, 2020.
Neural memory plasticity for medical anomaly detection,
T. Fernando, S. Denman, D. Ahmedt-Aristizabal, S. Sridharan, K.Laurens, P. Johnston C. Fookes, Neural Networks, vol. 127, pp. 67-81, 2020.
Target-Specific Siamese Attention Network for Real-time Object Tracking,
K. Thanikasalam, C. Fookes, S. Sridharan, A. Ramanan and A. Pinidiyaarachchi, IEEE Trans. on Information, Forensics and Security, vol. 15, pp. 1276-1289, 2020.
Memory Augmented Deep Generative models for Forecasting the Next Shot Location in Tennis,
T. Fernando, S. Denman, S. Sridharan and C. Fookes, IEEE Transactions on Knowledge and Data Engineering, 2019.
Sparse over-complete patch matching,
A. Pemasiri, K Nguyen Thanh, S. Sridharan , Pattern Recognition Letters, vol. 122, 1 pp. 1 – 6 , 2019.
Component-based Attention for Large-scale Trademark Retrieval,
O. Tursun, S. Denman, S. Sivapalan, S. Sridharan, C. Fookes and S. Mau, IEEE Transactions on Information Forensics and Security, 2019.
Heart Sound Segmentation using Bidirectional LSTMs with Attention,
T. Fernando, H. Ghaemmaghami, S. Denman, S. Sridharan, N. Hussain and C. Fookes, IEEE Journal of Biomedical and Health Informatics, 2019.
Study on pairwise LDA for x-vector-based speaker recognition,
A. Kanagasundaram, S. Sridharan, S. Ganapathy, and C.Fookes,
Electronics Letters, vol. 55-14 , pp. 813-816, 2019.
Fine-grained Action Segmentation using the Semi-Supervised Action GAN,
H. Gammulle, S. Denman, S. Sridharan, and C. Fookes,
Pattern Recognition, vol. 98, 2019.
Scene Invariant Virtual Gates using DCNNs,
S. Denman, C. Fookes, P.K.D.V. Yarlagadda, and S. Sridharan,
IEEE Transactions for Circuits and Systems, 2019, in press.
Understanding Patients’ Behavior: Vision-based Analysis of Seizure Disorders,
D. Ahmedt-Aristizabal, C. Fookes, S. Denman, K. Nguyen, S. Sridharan, and S. Dionisio,
IEEE Journal of Biomedical and Health Informatics, 2019, in press.
Robust Photogeometric Localization over Time for Map-Centric Loop Closure,
C. Park, S. Kim, P. Moghadam, J. Guo, S. Sridharan, and C. Fookes,
IEEE Robotics and Automation Letters, vol. 4, no. 2, pp. 1768 ‑ 1775, 2019.
Aberrant epileptic seizure identification: A computer vision perspective,
D. Ahmedt-Aristizabal, C. Fookes, S. Denman, N. Kien, S. Sridharan, and and S. Dionisio,
Seizure – European Journal of Epilepsy, vol. 65, pp. 65 ‑ 71, 2019.
Multimodal clothing recognition for semantic search in unconstrained surveillance imagery,
M. Halstead, S. Denman, S. Sridharan, Y. Tian, and C. Fookes,
Journal of Visual Communication and Image Representation, vol. 58, pp. 439 ‑ 452, 2019.
Soft + Hardwired Attention: An LSTM Framework for Human Trajectory Prediction and Abnormal Event Detection,
T. Fernando, S. Denman, S. Sridharan, and C. Fookes,
Neural Networks, vol. 108, pp. 466 ‑ 478, 2018.
Deep spatio-temporal feature fusion with compact bilinear pooling for multimodal emotion recognition,
D. Nguyen, K. Nguyen, S. Sridharan, D. Dean, and C. Fookes,
Computer Vision and Image Understanding, vol. 174, pp. 33 ‑ 42, 2018.
Tree Memory Networks for Modelling Long-term Temporal Dependencies,
T. Fernando, S. Denman, A. McFadyen, S. Sridharan, and C. Fookes,
Neurocomputing, vol. 304, pp. 64 ‑ 81, 2018.
Super-resolution for biometrics: a comprehensive survey,
K. Nguyen, C. Fookes, S. Sridharan, M. Tisstarelli, and M. Nixon,
Pattern Recognition, vol. 78, pp. 23 ‑ 42, 2018.
Deep facial analysis: A new phase in epilepsy evaluation using computer vision,
D. Ahmedt-Aristizabal, C. Fookes, K. Nguyen, S. Denman, S. Sridharan, and S. Dionisio,
Epilepsy & Behaviour, vol. 82, pp. 17 ‑ 24, 2018.
Interactive Sports Analytics: An Intelligent Interface for Utilizing Trajectories for Interactive Sports Play Retrieval and Analytics,
L. Sha, P. Lucey, Y. Yue, X. Wei, J. Hobbs, C. Rohlf, and S. Sridharan,
ACM Transactions on Computer-Human Interaction, vol. 25, no. 2, 2018.
Improving PLDA speaker verification performance using domain mismatch compensation techniques,
M.H. Rahman, A. Kanagasundaram, I. Himawan, D. Dean, and S. Sridharan,
Computer Speech and Language, vol. 47, pp. 240 ‑ 258, 2018.
Iris Recognition with Off-the-Shelf CNN Features: a Deep Learning Perspective,
K. Nguyen, C. Fookes, A. Ross, and S. Sridharan,
IEEE Access, vol. 6, pp. 18848 ‑ 18855, 2018.
Long Range Iris Recognition: A Survey,
K. Nguyen, C. Fookes, R. Jillela, S. Sridharan, and A. Ross,
Pattern Recognition, vol. 72, pp. 123 ‑ 143, 2017.
Automated analysis of seizure semiology and brain electrical activity in presurgery evaluation of epilepsy: A focused survey,
D. Ahmedt-Aristizabal, C. Fookes, S. Dionisio, K. Nguyen, J. P. S. Cunha, and S. Sridharan,
Epilepsia, vol. 58, no. 11, pp. 1817 ‑ 1831, 2017.
Cross database audio visual speech adaptation for phonetic spoken term detection,
S. Kalantari, D. Dean, and S. Sridharan,
Computer Speech and Language, vol. 44, pp. 1 ‑ 21, 2017.
Fine-grained action recognition of boxing punches from depth imagery,
S. Kasiri, C. Fookes, S. Sridharan, and S. Morgan,
Computer Vision and Image Understanding, vol. 159, pp. 143 ‑ 153, 2017.
A study on the effects of using short utterance length development data in the design of GPLDA speaker verification systems,
A. Kanagasundaram, D. Dean, S. Sridharan, H. Ghaemmaghami, and C. Fookes,
International Journal of Speech Technology, vol. 20, no. 2, pp. 247 ‑ 259, 2017.
A study of speaker clustering for speaker attribution in large telephone conversation datasets,
H. Ghaemmaghami, D. Dean, S. Sridharan, and D. van Leeuwen,
Computer Speech and Language, vol. 40, pp. 23 ‑ 45, 2016.
Forecasting the Next Shot Location in Tennis using Fine-Grained Spatiotemporal Tracking Data,
X. Wei, P. Lucey, S. Morgan, and S. Sridharan,
IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 11, pp. 2988 ‑ 2997, 2016.
Discovering Team Structures in Soccer from Spatiotemporal Data,
A. Bialkowski, P. Lucey, P. Carr, I. Matthew, S. Sridharan, and C. Fookes,
IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 10, pp. 2596 ‑ 2605, 2016.
Feature Mapping using Far-Field Microphones for Distant Speech Recognition,
I. Himawan, P. Motlicek, D. Imseng, and S. Sridharan,
Speech Communication, vol. 83, 2016.
Recent Advances in Camera Planning for Large Area Surveillance: A Comprehensive Review,
J. Liu, S. Sridharan, and C. Fookes,
ACM Computing Surveys, vol. 49, no. 1, 2016.
Detecting Rare Events Using Kullback-Leibler Divergence: A Weakly Supervised Approach,
J. Xu, S. Denman, C. Fookes, and S. Sridharan,
Expert Systems with Applications, vol. 54, pp. 13 ‑ 28, 2016.
Automatic surveillance in transportation hubs: No longer just about catching the bad guy,
S. Denman, T. Kleinschmidt, D. Ryan, P. Barnes, S. Sridharan, and C. Fookes,
Expert Systems with Applications, vol. 42, no. 24, pp. 9449 ‑ 9467, 2015.
Searching for people using semantic soft biometric descriptions,
S. Denman, M. Halstead, C. Fookes, and S. Sridharan,
Pattern Recognition Letters, vol. 68, pp. 306 ‑ 315, 2015.
An efficient and robust system for multi-person event detection in real world indoor surveillance scenes,
J. Xu, S. Denman, S. Sridharan, and C. Fookes,
IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, no. 6, pp. 1063 ‑ 1076, 2015.
Real-time Mobile 3D Temperature Mapping,
S. Vidas, P. Moghadam, and S. Sridharan,
IEEE Sensors Journal, vol. 15, no. 2, pp. 1145 ‑ 1152, 2015.
Score-Level Multibiometric Fusion Based on Dempster-Shafer Theory Incorporating Uncertainty Factors,
K. Nguyen, S. Denman, S. Sridharan, and C. Fookes,
IEEE Transactions on Human-Machine Systems, vol. 45, no. 1, pp. 132 ‑ 140, 2015.
An evaluation of crowd counting methods, features and regression models,
D. Ryan, S. Denman, S. Sridharan, and C. Fookes,
Computer Vision and Image Understanding, vol. 130, pp. 1 ‑ 17, 2015.
Scene Invariant Multi Camera Crowd Counting,
D. Ryan, S. Denman, C. Fookes, and S. Sridharan,
Pattern Recognition Letters, vol. 44, pp. 98 ‑ 112, 2014.
Real-time video event detection in crowded scenes using MPEG derived features: A multiple instance learning approach,
J. Xu, S. Denman, V. Reddy, C. Fookes, and S. Sridharan,
Pattern Recognition Letters, vol. 44, pp. 113 ‑ 125, 2014.
Improving Short Utterance I-vector Speaker Recognition using Utterance Variance Modelling and Compensation Techniques,
A. Kanagasundaram, D. Dean, S. Sridharan, J. Gonzalez-Dominguez, J. Gonzalez-Rodriguez, and D. Ramos,
Speech Communication, vol. 59, pp. 69 ‑ 82, 2014.
I-vector based speaker recognition using advanced channel compensation techniques,
A. Kanagasundaram, D. Dean, S. Sridharan, M. McLaren, and R. Vogt,
Computer Speech and Language, vol. 28, no. 1, pp. 121 ‑ 140, 2014.
Optimal Camera Planning under Versatile User Constraints in Multi-camera Image Processing Systems,
J. Liu, S. Sridharan, C. Fookes, and T. Wark,
IEEE Transactions on Image Processing, vol. 23, no. 1, pp. 171 ‑ 184, 2014.
Evaluation of Two-View Geometry Methods with Automatic Ground-Truth Generation,
R. Lakemond, C. Fookes, and S. Sridharan,
Image and Vision Computing, vol. 31, no. 12, pp. 921 ‑ 934, 2013.
HeatWave: A handheld 3D thermography system for energy auditing,
S. Vidas and P. Moghadam,
Energy and Buildings, vol. 66, pp. 445 ‑ 460, 2013.
Resection-Intersection Bundle Adjustment Revisited,
R. Lakemond, C. Fookes, and S. Sridharan,
ISRN Machine Vision, vol. 2013, 2013.
Feature-domain super-resolution for iris recognition,
K. Nguyen Thanh, C. Fookes, S. Sridharan, and S. Denman,
Computer Vision and Image Understanding, vol. 117, no. 10, pp. 1526 ‑ 1535, 2013.
Detecting Anomalous Events at Railway Level Crossings,
H. Nallaivarothayan, D. Ryan, S. Denman, S. Sridharan, C. Fookes, and A. Rakotonirainy,
Journal of Rail and Rapid Transit, vol. 227, no. 5, pp. 539 ‑ 553, 2013.
Fourier Lucas-Kanade Algorithm,
S. Lucey, R. Navarathna, A. Ahmed, and S. Sridharan,
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 6, pp. 1383 ‑ 1396, 2013.
Fast exact nearest neighbour matching in high dimensions using d-D Sort,
R. Lakemond, C. Fookes, and S. Sridharan,
ISRN Machine Vision, vol. 2013, 2013.
Robust facial feature extraction and matching,
C. Fookes, D. Chen, R. Lakemond, and S. Sridharan,
Journal of Pattern Recognition Research, vol. 7, no. 1, pp. 140 ‑ 154, 2012.
Self-calibration of wireless cameras with restricted degrees of freedom,
J. Liu, T. Wark, R. Lakemond, and S. Sridharan,
Computer Vision and Image Understanding, vol. 116, no. 10, pp. 1033 ‑ 1046, 2012.
Hessian-based affine adaptation of salient local image features,
R. Lakemond, S. Sridharan, and C. Fookes,
Journal of Mathematical Imaging and Vision, vol. 44, no. 2, pp. 150 ‑ 167, 2012.
In the Pursuit of Effective Affective Computing: The Relationship between Features and Registration,
S. Chew, P. Lucey, S. Lucey, J. Saragih, J. F. Cohn, I. Matthews, and S. Sridharan,
IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, vol. 42, no. 4, pp. 1006 ‑ 1016, 2012.
Multiple cameras for audio-visual speech recognition in an automotive environment,
R. Navarathna, D. Dean, S. Sridharan, and P. Lucey,
Computer Speech and Language, vol. 27, no. 4, pp. 911 ‑ 927, 2012.
Eigenvoice modeling for cross likelihood ratio based speaker clustering: A Bayesian approach,
D. Wang, R. Vogt, and S. Sridharan,
Computer Speech and Language, vol. 27, no. 4, pp. 1011 ‑ 1027, 2012.
A mask-based approach for the geometric calibration of thermal-infrared cameras,
S. Vidas, R. Lakemond, S. Denman, C. Fookes, S. Sridharan, and T. Wark,
IEEE Transactions on Instrumentation and Measurement, vol. 61, no. 6, pp. 1625 ‑ 1635, 2012.
Evaluation of image resolution and super-resolution on face recognition performance,
C. Fookes, F. Lin, V. Chandran, and S. Sridharan,
Journal of Visual Communication and Image Representation, vol. 23, no. 1, pp. 75 ‑ 93, 2012.
Quality-driven super-resolution for less constrained iris recognition at a distance and on the move,
K. Nguyen Thanh, C. Fookes, S. Sridharan, and S. Denman,
IEEE Transactions on Information, Forensics and Security, vol. 6, no. 4, pp. 1248 ‑ 1258, 2011.
The delta-phase spectrum with application to voice activity detection and speaker recognition,
I. McCowan, D. Dean, M. McLaren, R. Vogt, and S. Sridharan,
IEEE Transactions on Audio, Speech and Language Processing, vol. 19, no. 7, pp. 2026 ‑ 2038, 2011.
Discriminative optimisation of the figure of merit for phonetic spoken term detection,
R. Wallace, B. Baker, R. Vogt, and S. Sridharan,
IEEE Transactions on Audio, Speech and Language Processing, vol. 19, no. 6, pp. 1677 ‑ 1687, 2011.
The use of phase in complex spectrum subtraction for robust speech recognition,
T. Kleinschmidt, S. Sridharan, and M. Mason,
Computer Speech and Language, vol. 25, no. 3, pp. 585 ‑ 600, 2011.
Wide baseline correspondence extraction beyond local features,
R. Lakemond, S. Sridharan, and C. Fookes,
IET Computer Vision, vol. 5, no. 4, pp. 222 ‑ 231, 2011.
Automatically detecting pain in video through facial action units,
P. Lucey, J. Cohn, I. Matthews, S. Lucey, S. Sridharan, J. Howlett, and K. Prkachin,
IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, vol. 41, no. 3, pp. 664 ‑ 674, 2011.
Clustered blind beamforming from ad-hoc microphone arrays,
I. Himawan, I. McCowan, and S. Sridharan,
IEEE Transactions on Audio, Speech and Language Processing, vol. 19, no. 4, pp. 661 ‑ 676, 2011.
A comparison of session variability compensation approaches for speaker verification,
M. McLaren, R. Vogt, B. Baker, and S. Sridharan,
IEEE Transactions on Information, Forensics and Security, vol. 5, no. 4, pp. 802 ‑ 809, 2010.
Making confident speaker verification decisions with minimal speech,
R. Vogt, S. Sridharan, and M. Mason,
IEEE Transactions on Audio, Speech and Language Processing, vol. 18, no. 6, pp. 1182 ‑ 1192, 2010.
Data-driven background dataset selection for SVM-based speaker verification,
M. McLaren, R. Vogt, B. Baker, and S. Sridharan,
IEEE Transactions on Audio, Speech and Language Processing, vol. 18, no. 6, pp. 1496 ‑ 1506, 2010.
Multi-Spectral Fusion for Surveillance Systems,
S. Denman, T. Lamb, C. Fookes, S. Sridharan, and V. Chandran,
Computers & Electrical Engineering, vol. 36, no. 4, pp. 643 ‑ 663, 2010.
Dynamic visual features for audio-visual speaker verification,
D. Dean and S. Sridharan,
Computer Speech and Language, vol. 24, no. 2, pp. 136 ‑ 149, 2010.
Scale-space volume descriptors for automatic 3D facial feature extraction,
D. Chen, G. Mamic, C. Fookes, and S. Sridharan,
International Journal of Signal Processing, vol. 5, no. 4, pp. 264 ‑ 269, 2009.
Efficient Constrained Local Model Fitting for Non-Rigid Face Alignment,
S. Lucey, Y. Wang, M. Cox, S. Sridharan, and J. F. Cohn,
Image and Vision Computing, vol. 27, no. 12, pp. 1804 ‑ 1813, 2009.
3D Face Verification using a Free Parts Approach,
C. McCool, C. Fookes, V. Chandran, and S. Sridharan,
Pattern Recognition Letters, vol. 29, no. 9, pp. 1190 ‑ 1196, 2008.
Explicit modelling of session variability for speaker verification,
R. Vogt and S. Sridharan,
Computer Speech and Language, vol. 22, no. 1, pp. 17 ‑ 38, 2008.
Multiscale Representation for 3D Face Recognition,
J. Cook, V. Chandran, and S. Sridharan,
IEEE Transactions on Information, Forensics and Security, vol. 2, no. 3, pp. 529 ‑ 536, 2007.
An Adaptive Optical Flow Technique for Person Tracking Systems,
S. Denman, V. Chandran, and S. Sridharan,
Pattern Recognition Letters, vol. 28, no. 10, pp. 1232 ‑ 1239, 2007.
Rapid Yet Accurate Speech Indexing Using Dynamic Match Lattice Spotting,
K. Thambiratnam and S. Sridharan,
IEEE Transactions on Audio, Speech and Language Processing, vol. 15, no. 1, pp. 346 ‑ 357, 2007.
Gaze-J2K: Gaze-Influenced Image Coding using Eye Trackers and JPEG 2000,
A. Nguyen, V. Chandran, and S. Sridharan,
Journal of Telecommunications and Information Technology, vol. 1, pp. 3 ‑ 10, 2006.
Gaze Tracking for Region of Interest Coding in JPEG 2000,
A. Nguyen, V. Chandran, and S. Sridharan,
Signal Processing: Image Communication, vol. 21, no. 5, pp. 359 ‑ 377, 2006.
A syllable-scale framework for language identification,
T. Martin, B. Baker, E. Wong, and S. Sridharan,
Computer Speech and Language, vol. 20, no. 2-3, pp. 125 ‑ 356, 2006.
Texture for script identification,
A. Busch, W. Boles, and S. Sridharan,
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 11, pp. 1720 ‑ 1732, 2005.
Real-time adaptive foreground/background segmentation,
D. Butler, M. Bove, and S. Sridharan,
EURASIP Journal on Applied Signal Processing, vol. 2005, pp. 2292 ‑ 2304, 2005.
Integration Strategies for Audio-Visual Speech Processing: Applied to Text-Dependent Speaker Recognition,
S. Lucey, T. Chen, S. Sridharan, and V. Chandran,
IEEE Transactions on Multimedia, vol. 7, no. 3, pp. 495 ‑ 506, 2005.
Importance prioritisation in JPEG 2000 for Improved Interpretability,
A. Nguyen, V. Chandran, and S. Sridharan,
Signal Processing: Image Communication, vol. 19, no. 10, pp. 1005 ‑ 1028, 2004.
Interpretability performance assessment of JPEG2000 and Part 1 compliant region of interest coding,
A. Nguyen, V. Chandran, S. Sridharan, and R. Prandolini,
IEEE Transactions on Consumer Electronics, vol. 49, no. 4, pp. 808 ‑ 817, 2003.
Interpolative coding of speech parameters using hierarchical temporal decomposition,
S. Ghaemmaghami, M. Deriche, and S. Sridharan,
Digital Signal Processing, vol. 13, no. 3, pp. 433 ‑ 456, 2003.
Improved facial-feature detection for AVSP via unsupervised clustering and discriminant analysis,
S. Lucey, S. Sridharan, and V. Chandran,
EURASIP Journal on Applied Signal Processing, vol. 2003, pp. 264 ‑ 275, 2003.
Adaptive mouth segmentation using chromatic features,
S. Lucey, S. Sridharan, and V. Chandran,
Pattern Recognition Letters, vol. 23, no. 11, pp. 1293 ‑ 1302, 2002.
Near-field Adaptive Beamformer for Robust Speech Recognition,
I. McCowan, D. Moore, and S. Sridharan,
Digital Signal Processing, vol. 12, no. 1, pp. 87 ‑ 106, 2002.
Adaptive fusion of speech and lip information for robust speaker identification,
T. Wark and S. Sridharan,
Digital Signal Processing, vol. 11, no. 3, pp. 169 ‑ 186, 2001.
Rapid Channel Compensation for Speaker Verification in the NIST 2000 Speaker Recognition Evaluation,
J. Pelecanos and S. Sridharan,
Acoustics Australia, vol. 29, no. 1, pp. 17 ‑ 20, 2001.
Muti-channel sub-band speech recognition,
I. McCowan and S. Sridharan,
EURASIP Journal on Applied Signal Processing, vol. 2001, pp. 45 ‑ 52, 2001.
Robust Lip Tracking using Active Shape Models and Gradient Vector Flow,
S. Lucey, S. Sridharan, and V. Chandran,
Australian Journal of Intelligent Information Processing Systems, vol. 6, no. 3, pp. 175 ‑ 179, 2000.
Improving speech recognition accuracy for small vocabulary applications in adverse environments,
D. Thambiratnam and S. Sridharan,
International Journal of Speech Technology, vol. 3, no. 2, pp. 109 ‑ 117, 2000.
Frequency Offset Correction for HF Radio Speech Reception,
D. Cole, S. Sridharan, and M. Moody,
IEEE Transactions on Industrial Electronics, vol. 47, no. 2, pp. 438 ‑ 443, 2000.
Learning object dynamics for smooth tracking of moving lip contours,
T. Wark, S. Sridharan, and V. Chandran,
IEEE Electronic letters, vol. 36, no. 6, pp. 521 ‑ 522, 2000.
Fast Search Methods for Spectral Quantization,
J. Leis and S. Sridharan,
Digital Signal Processing, vol. 9, no. 2, pp. 76 ‑ 88, 1999.
Adaptive Vector Quantization for Speech Spectrum Coding,
J. Leis and S. Sridharan,
Digital Signal Processing, vol. 9, no. 2, pp. 89 ‑ 106, 1999.
Very low rate speech coding using temporal decomposition,
S. Ghaemmaghami and S. Sridharan,
Electronic Letters, vol. 35, no. 6, pp. 456 ‑ 457, 1999.
Comparing the multiple binary classifier model to other automatic speaker verification models,
S. Slomka, P. Chatelain, and S. Sridharan,
Applied Signal Processing, vol. 6, pp. 13 ‑ 24, 1999.
Coding speech at very low birates using temporal decomposition based spectral interpolation and mixed excitation in the LPC model,
S. Ghaemmaghami, S. Sridharan, and V. Chandran,
Applied Signal Processing, vol. 6, no. 4, pp. 203 ‑ 223, 1999.
Speech compaction using temporal decomposition,
S. Ghaemmaghami, S. Sridharan, and V. Chandran,
Electronic Letters, vol. 34, no. 24, pp. 2317 ‑ 2319, 1998.
Multi channel speech separation by eigen decomposition and its application to co-talker interference removal,
Y. Cao, S. Sridharan, and M. Moody,
IEEE Transactions on Speech and Audio Processing, vol. 5, no. 3, pp. 209 ‑ 219, 1997.
Position independent enhancement of reverberant speech,
D. Cole, S. Sridharan, and M. Moody,
Journal of the Audio Engineering Society, vol. 45, no. 3, pp. 142 ‑ 147, 1997.
Compression of high quality audio using a hybrid LPC Discrete Wavelet Transform algorithm,
S. Boland, M. Deriche, and S. Sridharan,
Applied Signal Processing, no. 4, pp. 39 ‑ 55, 1997.
Co-talker separation using the Cocktail Party Effect,
Y. Cao, S. Sridharan, and M. Moody,
Journal of the Audio Engineering Society, vol. 44, no. 12, pp. 1084 ‑ 1096, 1996.
Simulation of cocktail party effect with neural network controlled iterative Wiener filter,
Y. Cao, S. Sridharan, and M. Moody,
IEICE Transactions on Fundamentals of Electronic Communication and Computer Sciences, vol. E79-A, no. 6, pp. 944 ‑ 946, 1996.
The development of a new signal Processing program at the Queensland University of Technology,
B. Boashash, S. Sridharan, and V. Chandran,
IEEE Transactions on Education, vol. 39, no. 2, pp. 186 ‑ 191, 1996.
A two stage fuzzy decision classifier for speaker identification,
P. Castellano and S. Sridharan,
Speech Communication, vol. 18, no. 2, pp. 139 ‑ 149, 1996.
Effects of speech coding on speaker verification,
P. Castellano and S. Sridharan,
Electronic Letters, vol. 32, no. 6, pp. 517 ‑ 518, 1996.
Speech enhancement using microphone array with multi-stage processing,
Y. Cao, S. Sridharan, and M. Moody,
IEICE Transactions on Fundamentals of Electronic Communication and Computer Sciences, vol. E79-A, no. 3, pp. 386 ‑ 394, 1996.
A speech enhancement system incorporating neural network simulation of cocktail party effect,
Y. Cao, S. Sridharan, and M. Moody,
Applied Signal Processing, vol. 3, no. 3, pp. 143 ‑ 150, 1996.
Text independent speaker identification with tensor link neural networks,
P. Castellano and S. Sridharan,
Applied Signal Processing, vol. 1, pp. 155 ‑ 165, 1994.
Cryptanalysis of frequency domain analog speech scramblers,
S. Sridharan, B. Goldburg, and E. Dawson,
IEE Proceedings, Part I, Communication, Speech and Vision, vol. 140, no. 4, pp. 235 ‑ 239, 1993.
Design and cryptanalysis of transform-based analog speech scramblers,
B. Goldburg, S. Sridharan, and E. Dawson,
IEEE Journal on Selected Areas in Communication, vol. 11, no. 5, pp. 735 ‑ 744, 1993.
A Fast Fourier Transform based speech encryption system,
S. Sridharan, E. Dawson, and B. Goldburg,
IEE Proceedings, Part I, Communication, Speech and Vision, vol. 138, no. 3, pp. 215 ‑ 223, 1991.
Design of a discrete cosine transform based speech scrambler,
B. Goldburg, S. Sridharan, and E. Dawson,
IET Electronic letters, vol. 27, no. 7, pp. 613 ‑ 614, 1991.
Speech encryption in the Transform domain,
S. Sridharan, E. Dawson, and B. Goldburg,
IET Electronic Letters, vol. 26, no. 10, pp. 655 ‑ 657, 1990.