I am a Professor in Digital Signal Processing and Dean of Engineering at The University of New South Wales, Sydney, Australia, where I was previously Head of School of the School of Electrical Engineering and Telecommunications . I also have an appointment as a Co-Director of the NSW Smart Sensing Network. I am a Scientific Advisor for Boston-based startup Sonde Health, where I have worked on speech-based assessment of mental health, and have held an appointment as a Contributed Principal Researcher with Data61, CSIRO, where I worked on methods for automatic task analysis using behavioural and physiological signals. A passionate educator, I am an Emeritus Fellow of the UNSW Scientia Education Academy. My research interests also include applications of speech modelling and processing, in particular to emotion and mental state recognition from speech and signals from wearable sensors. I have also worked on genomic sequence processing and aspects of human computer interaction, including multimodal interfaces and computer-supported cooperative work.
Prospective PhD students, please contact me directly at j.epps@unsw.edu.au to discuss potential topics.
B.E. (Hons I), Ph.D., UNSW
PhD thesis: ″Wideband extension of narrowband speech for enhancement and coding″ (full text pdf).
Associate Professor, The University of New South Wales (2014 - 2018)
Senior Lecturer, The University of New South Wales (2008 - 2013)
Assistant Professor and Program Coordinator (Electrical and Telecommunications Engineering), UNSW Asia, Singapore (2007)
Senior Researcher and Project Leader, National ICT Australia (2005 - 2006)
Researcher, National ICT Australia (2004 - 2005)
Senior Research Engineer, Motorola Labs (2001 - 2003)
Postdoctoral Fellow, The University of New South Wales (2000 - 2001)
Visiting Scientist, Human Language Technologies Department, Institute for Infocomm Research, A*STAR, Singapore (2007)
Conjoint Senior Lecturer, University of New South Wales (2004 - 2006)
Honorary Associate, University of Sydney (2004 - 2006)
Member, IEEE, ISCA, AAAC, ASSTA and APSIPA.
Emeritus Fellow of the UNSW Scientia Education Academy
Associate Editor, IEEE Transactions on Affective Computing (2015 – )
Associate Editor, Frontiers in ICT (Human-Media Interaction) (2016 – )
Guest Editor, Computer Speech and Language Special Issue on Speech and Language Processing for Behavioral and Mental Health Research and Applications, 2017
Associate Editor, EURASIP Journal on Bioinformatics and Systems Biology (2015 – 2017)
Guest Editor, EURASIP Journal on Advances in Signal Processing Special Issue on Emotion and Mental State Recognition from Speech (2010)
Program Chair, IEEE Int. Conf. on Affective Computing and Intelligent Interaction (2019)
General Chair, Int. Conf. on Speech Science and Technology (2018)
General Chair, IEEE Int. Conf. on Affective Computing and Intelligent Interaction (2017)
Executive Committee Member, Association for the Advancement of Affective Computing (2018 – )
Advisory Board Member, Int. Conf. on Multimodal Interaction (2015 - 2017)
General Chair, Int. Conf. on Multimodal Interaction (2013)
Program Chair, Int. Conf. on Multimodal Interaction (2012)
Associate Editor, IEEE Eng. in Medicine and Biology Conf. (2012)
Area Chair, INTERSPEECH (2008, 2015, 2016)
Area Chair, ACM Multimedia (Emotional and Social Signals in Multimedia) (2016)
Area Chair, Symposium on Eye Tracking Research & Applications (part of ACM SIGGRAPH) (2016)
Area Chair, ACM UMAP (Adaptive, Intelligent, & Multimodal User Interfaces) (2016)
Co-organiser, INTERSPEECH Special Session on Clinical and Neuroscience-Inspired Vocal Biomarkers of Neurological and Psychiatric Disorders (2016)
Associate Chair, Int. Conf. on Multimodal Interaction (2015)
Outstanding Paper Award Committee, Int. Conf. on Multimodal Interaction (2014, 2015)
Co-organiser, Computational Paralinguistics Challenge (ComParE), INTERSPEECH (2014)
Session Chair, INTERSPEECH (2008, 2014 – 2017)
Co-organiser, Int. Conf. on Multimodal Interaction Workshop on Inferring Cognitive and Emotional States from Multimodal Measures (2011)
Awards Chair, IEEE Int. Conf. on Multimedia and Expo (2012)
Technical Committee and International Liaison, IEEE Workshop on Signal Processing Education (2011)
Session Chair, Asia-Pacific Signal Processing Association Conf. (2010)
Co-chair, Int. Conf. on Inf. Tech. Based Higher Education and Training: Workshop on Technologies, Methodologies and Directions for Engineering Education (2006).
Session Chair, IEEE Int. Workshop on Horizontal Interactive Human-Computer Systems (2006).
Co-chair and Co-organiser, NICTA-HCSNet Multimodal User Interaction Workshop (2005).
Programme Committee Member: IEEE Int. Conf. on Multimedia and Expo (2013), ASE/IEEE Int. Conf. on Social Computing Workshop on Wide Spectrum Social Signal Processing (2012), Aust. Conference on Speech Science and Technology (2012), 4th International Workshop on Corpora for Research on Emotion, Sentiment and Social Signals (Satellite of LREC 2012), Audio/Visual Emotion Challenge and Workshop AVEC 2011 (part of the Int. Conf. on Affective Computing and Intelligent Interaction), AVEC 2012 (part of the Int. Conf. on Multimodal Interaction), AVEC 2013-2016 (part of the ACM Multimedia), IEEE Workshop on Genomic Signal Processing and Statistics (2006, 2007, 2009), IEEE Int. Conf. on Information, Communications and Signal Processing (2010), Int. Conf. on Bio-inspired Systems and Signal Processing BIOSIGNAL (2010), IEEE Int. Conf. on Bioinformatics and Bioengineering (2008), IEEE Workshop on Multimedia Signal Processing (2008), Aust. Software Eng. Conf. (2006-2007), HCSNet Workshop on the Use of Vision in HCI (VisHCI) (2006), Aust. Conf. on Human-Computer Interaction: Workshop on Supporting Awareness in Intense Distributed Collaboration (2006).
Distinguished Reviewer, IEEE Transactions on Affective Computing, 2019 (top 2.5% of reviewers)
J. Acoust. Soc. Am. (2010, 2013, 2016, 2017, 2019, 2021), IEEE Transactions on Signal Processing (2014), IEEE Transactions on Speech and Audio Processing (2004-2005, 2009-2015), ACM Computing Surveys (2021), Speech Communication (2007-2010, 2012-2016), Computer Speech and Language (2011-2012, 2014-2015), Translational Psychiatry (2017), ACM Transactions on Computer-Human Interaction (2014), IEEE Transactions on Affective Computing (2010-2015, 2017-2019), IEEE Signal Processing Letters (2014), IEEE Journal on Biomedical and Health Informatics (2020), ACM Transactions on Intelligent Interactive Systems (2015), PLoS ONE (2010), NeuroImage (2016), BMC Bioinformatics (2009, 2010), Computer Methods and Programs in Biomedicine (2010, 2014-2015), J. Theoretical Biology (2011), J. Time Series Analysis (2010), Mathematical Biosciences (2016), IEEE Transactions on Multimedia (2014), IEEE Journal of Selected Topics in Signal Processing (2007, 2019), IEEE Transactions on Autonomous Mental Development (2015), Computational Biology and Chemistry (2010), Int. J. of Data Mining and Bioinformatics (2010), EURASIP Journal on Audio, Speech and Music Processing (2009, 2011, 2012, 2016), EURASIP Journal on Advances in Signal Processing (2009), Measurement Science and Technology (2009), Biomedical Signal Processing and Control (2012), IET Electronics Letters (2005 - 2012), Int. J. on Electronics and Communications (2009), EURASIP Journal on Bioinformatics and Systems Biology (2006, 2008, 2014), Advances in Bioinformatics (2010), Int. J. on Computers and Electrical Engineering (2008 - 2009), ACM Trans. Asian Language Information Processing (2008), Physiological Measurement (2008), Journal of Analog Integrated Circuits and Signal Processing (2005), Int. J. of Bioinformatics Research and Applications (2010).
IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP) (2012-2019), INTERSPEECH (2008-2014, 2018, 2021), IEEE GLOBECOM (2011), Int. Conf. on Intelligent User Interfaces (2006-2007, 2011, 2013, 2016-2017), IEEE International Conference on Affective Computing and Intelligent Interaction (2015, 2021), IEEE Eng. in Medicine and Biology Conf. (2009-2011, 2014, 2016-2019, 2021), IEEE Int. Conf. on Circuits and Systems (2009), Int. Conf. on Human Factors in Computing Systems (CHI) (2006, 2013), ACM Multimedia (2014), IEEE Workshop on Automatic Speech Recognition and Understanding (2021), IEEE Int. Conf. on Systems, Man and Cybernetics (2021), MobileHCI (2013), ACM Symposium on Eye Tracking Research and Applications (2016), Asia-Pacific Signal Processing Association Conference (2010-2011), IEEE Workshop on Signal Processing Education (2010), IEEE Int. Conf. on Multimedia and Expo (2009), European Signal Processing Conference (2009), IEEE Int. Conf. on Information, Communications and Signal Processing (2007, 2009), IEEE RIVF (2008), Int. Symp. on Chinese Spoken Language Processing (2012), Int. Conf. on Signal Processing and Communications Systems (2008, 2009), IEEE Int. Symp. on Communications and Information Technologies (2007), IAPR Workshop on Pattern Recognition in Bioinformatics (2007), Int. Conf. on Multimodal Interaction (2005, 2006), IEEE Int. Workshop on Horizontal Interactive Human-Computer Systems (2006), Aust. Conference on Speech Science and Technology (2010-2016), Aust. Conference on Human-Computer Interaction (2004), IEEE Region 10 TENCON Conference (2003), Int. Conf. on Spoken Language Processing (ICSLP) (1998).
Nanyang Technological University PhD thesis (2014), University of Sydney PhD theses (2009, 2012, 2015), Auckland Uni. PhD thesis (2015), Masters thesis (2017), RMIT PhD theses (2014, 2016), Curtin UT PhD theses (2008, 2014), Edith Cowan Uni. PhD thesis (2013), UNSW PhD thesis (2006), two UNSW Masters theses (2005, 2001), MEngSc thesis (2007) and MPhil (2006).
Member, IEEE Signal Processing in Education Technical Committee (2011)
Chen, S., Dang, T., and Epps, J., “Introduction to Eye and Audio Behaviour Computing for Affect Analysis in Wearable Contexts”, invited tutorial, ACM Int. Conf. on Multimodal Interaction (Paris, France), October 13th, 2023.
Chen, S., Dang, T., and Epps, J., “Introduction to Eye and Audio Behaviour Computing for Affect Analysis in Wearable Contexts”, invited tutorial, AAAC/IEEE Affective Computing and Intelligent Interaction (Cambridge, MA), September 10th, 2023.
Epps, J., “Understanding Human Tasks Using Wearable Sensor Signal Processing”, invited presentation, IIT Ropar Data Science Seminar Series, June 15th, 2023.
Epps, J., “Understanding Human Tasks Using Wearable Physiological and Behavioural Sensors”, keynote presentation, Int. Conf. on Sensing Technology, December 5th, 2022.
Epps, J., “Recognition of Depression from Speech: From Fundamentals to Mobile Devices”, keynote presentation, IEEE Automatic Speech Recognition and Understanding Workshop, December 13th, 2021, Cartagena, Colombia.
Epps, J., “Automatic Speech-Based Assessment of Mental State via Mobile Device”, IEEE 6th Int. Conf. on Orange Technologies, October 24th, 2018, Bali, Indonesia.
Epps, J., “Automatic Assessment of Depression from Speech and Behavioural Signals: An Affective Computing Perspective”, keynote presentation, 4th Int. Workshop on Context-Based Affect Recognition 2017, a satellite event of AAAC/IEEE Affective Computing and Intelligent Interaction (San Antonio, TX), October 23rd, 2017.
Epps, J., “Prediction of Emotion and Emotion Change from Speech”, invited presentation, University of Texas Dallas, October 27th, 2017.
Epps, J., “Automatic Affective and Task Analysis for Wearable Computing”, invited tutorial, IEEE Int. Conf. on Systems, Man and Cybernetics, (Budapest, Hungary), October 9th, 2016.
Epps, J., “Multimodal Processing of Behavioural Signals for Automatic Task Analysis”, invited presentation, 1st Int. Workshop on Advancements in Social Signal Processing for Multimodal Interaction, a satellite event of ACM ICMI (Seattle, WA), November 13th, 2015.
Cummins, N., Scherer, S., Krajewski, J., Epps, J., and Quatieri, T., “Depression and Suicide Risk Assessment using Speech Analysis”, invited tutorial, INTERSPEECH (Dresden, Germany), September 7th, 2015.
Epps, J., “Automatic Assessment of Depression from Speech and Behavioural Signals”, keynote presentation, 4th Int. Workshop on Audio-Visual Emotion Challenge 2014, a satellite event of ACM Multimedia (Orlando, FL), November 7th, 2014.
Epps, J., and Sethu, V., “Speech Under Cognitive Load and System Design for Emotion and Mental State Recognition”, invited tutorial, INTERSPEECH-ISCSLP (Singapore), September 13th, 2014.
Epps, J., “Automatic Task Analysis based on Eye Activity”, keynote presentation, 6th Workshop on Eye Gaze in Intelligent Human Machine Interaction (part of ACM ICMI 2013), December 13th, 2013.
Epps, J., “Speech-Based Cognitive Load Estimation”, invited presentation, University of Southern California School of Electrical Engineering, November 27th, 2012.
Epps, J., “Estimation of Cognitive Load”, invited presentation, Cochlear Pty Ltd, November 23rd, 2012.
Epps, J., “Recognising Emotion and Mental State from Speech”, invited presentation, Beijing Institute of Technology and Beihang, Xidian and Northwestern Polytechnic Universities, June 13-16th, 2011.
Epps, J., “Periodicity analysis of sequence data: A guide to the toolshed”, invited presentation, ANU John Curtin School of Medical Research Techniques in Computational Genomics Seminar Series, April 29th, 2011.
Epps, J., “Emotion Recognition and Cognitive Load Measurement from Speech”, invited tutorial, Asia-Pacific Signal Processing Association Conf. (Singapore), December 14th, 2010.
Epps, J., and Ambikairajah, E., Signal Processing for Genomic Sequences, invited tutorial, 5th IASTED Int. Conf. on Signal Processing, Pattern Recognition and Applications (Innsbruck, Austria), February 15th, 2008.
Epps, J., Nuisance Attribute Projection in Speaker Recognition, seminar, Institute for Infocomm Research, A*STAR, Singapore, December 3rd, 2007.
Epps, J., Signal Processing in Biomedical Engineering, seminar, UNSW Asia / Tan Tock Seng Hospital Seminar Series, Singapore, April 12th, 2007.
Epps, J. Co-worker Awareness in Remote Collaboration over a Shared Application, invited presentation, CSIRO Media Science Meeting, September 5th, 2006.
Epps, J. ViCAT: Intense Remote Collaboration over Shared Creative Applications, invited presentation, Sydney University Media and Technology Research Cluster Forum, March 1st, 2006.
Epps, J. A Study of Integration Patterns During Multimodal Manual Gesture and Speech Input, invited presentation, NICTA Gestural Interaction Workshop, April 27-28th, 2005.
Epps, J. Fusion of Speech and Manual Gesture Recognition-Based Inputs for Multimodal HCI, invited seminar, Smart Internet Technology CRC Research Group, March 16th, 2005.
Chen, F., and Epps, J., Multimodal User Interaction, keynote speech at IEEE Int. Conf. on Signal Processing (Beijing, China), August 31st, 2004.
Epps, J. Multimodal User Interaction, invited presentation, University of Sydney Information Visualization Research Group, March 2004.
Seminars on Introductory Signal Processing, Speech Recognition and Professional Development, The University of New South Wales, 2001 - 2004.
Australian Financial Review Innovation Award for Industry Engagement (2018) (team award)
UNSW Vice-Chancellor's Award for Teaching Excellence (2016)
UNSW Engineering Individual Staff Excellence Award in Teaching (2015)
Motorola BRAVO Award for Managing Product Group Relationship during Technology Transfer (2003)
Motorola University Postgraduate Research Scholarship (1997 - 2000)
Gowrie Trust Fund Scholarship (1997 - 2000)
UNSW Co-op Scholarship (1992 - 1996)
Emotion and mental state recognition from speech, particularly with applications to depression and cognitive load, extraction and processing of computer vision-based eye activity, multimodal systems, biomedical signal processing, genomic sequence processing, and statistical machine learning.
Epps, J., and Ahmed, B., “Automatic detection and modelling of acoustic markers of speech timing”, ARC Discovery Projects, 2023-2025, $409K
Rickwood, D., Goecke, R., Larsen, M., Epps, J., Klein, B., Dhall, A., and Ma, J., “Implementing Artificial Intelligence (AI) to Enhance Lifeline's Crisis Support Service Capacity in Response to COVID-19 and Emerging Crises”, MRFF COVID-19 Mental Health Research, 2020-2021, $218K
Ahmed, B., Ballard, K., and Epps, J., “Speech recognition adaptation for low resource populations”, ARC Discovery Projects, 2020-2022, $350K
Epps, J., Chen, S., and Ambikairajah, E., “Wearable Head Movement and Multimodal Behavioral Signal Modeling for Longitudinal Automatic Task Performance Prediction”, US Army Collaborative Agreement, 2019-2021, $725K
Ambikairajah, E., Epps, J., and Sethu, V., “Integrating biologically-inspired auditory models into deep learning”, ARC Discovery Projects, 2019-2021, $385K
Ahmed, B., Epps, J., Brodaty, H., Kochan, N., Valenzuela, M., and Ballard, K., “Developing a paralinguistic plus episodic memory screening tool to detect and track cognitive impairment in the elderly”, Faculty of Engineering and Medicine Biomedical Seed Fund, 2019-2020, $445K.
Ahmed, B., Ballard, K., Burnham, D., Epps, J., Cox, F., Sethu, V., Demuth, K., Arciuli, J., Kelly, B., Diskin, C., Benders, T., Lee, C. B., Ambikairajah, E., and Baker, E., “AusKidTalk: an Australian children's speech corpus”, ARC LIEF, $600K
Rickwood, D., Pirkis, J., Klein, B., Batterham, P., Titov, N., Epps, J., Goecke, R., Kolves, K, Gould, M., and Bradford, S., “Building a Lifeline for the future: Expectations, innovations, outcomes”, NHMRC Partnership Projects, 2018-2023, A$1.117M.
Seneviratne, A., Zomaya, A., Ambikairajah, E., Epps, J., Seneviratne, S., and Thilakarathna, K., “Acoustic Print: A Method of Using Acoustic Signature to Identify and Authenticate Autonomous Vehicles”, Defence Innovation Network, 2018-2019, A$134K
Lovell, N., Redmond, S., del Rosario, M., Natalie, J., Epps, J., Pagnucco, M., Sammut, C., Ooi, S.-Y., Yu, J., Christensen, H., Larsen, M., Teesson, M., Cohn, R., Wakefield, C., Cohen, J., Cardonna-Morrell, M., Welsh, A., Newton, N., Krishnan, A., and Eviston, T., “Infrastructure to Support Software development, trialling and translation of health apps”, UNSW Research Infrastructure Scheme, 2018-2019, A$357K
Epps, J., Sethu, V., and Ambikairajah, E., “Driver frustration detection from speech using deep classification of partition-based features”, Huawei Research Innovation Program, 2017-2018, US$70K.
Epps, J., “Human Behavior Modeling and Analysis based on Processing of Wearable Sensor Signals”, US Army International Technology Center (Pacific), 2017-2018, US$141K.
Epps, J., Chen, M., Larsen, M., Christensen, H., and Sethu, V., Automatic Speech-based Assessment of Mental State via Mobile Device, ARC Linkage Projects, 2017-2020, A$513K
Epps, J., “IT platforms for evaluating health effects of speech”, 2016-2017, $A4.7K
Epps, J., “Audio-visual analysis of emotional speech”, 2016-2017, A$10K
Epps, J., Ambikairajah, E., Sethu, V., and Li, H., “Investigating Bayesian Frameworks for Paralinguistic Classification”, Faculty of Engineering Silverstar Award, 2016, A$30K.
Larsen, M., Epps, J., Cummins, N., and Christensen, H., “Automatic mobile mental health assessment with speech and social signals”, UNSW Brain Sciences Seed Funding, 2015-2016, A$10K.
Epps, J., “Automatic Task Analysis for Wearable Computing”, US Army International Technology Center (Pacific), 2014-2015, US$60K.
Goecke, R., Parker, G., Christensen, H., Epps, J., Cohn, J., and Lucey, P., Affective sensing technology for the detection and monitoring of depression and melancholia, ARC Discovery Projects, 2013-2015, A$360K .
Burnham, D., et al., Above and Beyond Speech, Language and Music: A Virtual Lab for Human Communication Science (HCS vLab), NeCTAR, 2013, $1.4m.
Epps, J., “Machine Learning for Human Computer Interaction”, National ICT Australia Collaborative Research Project, 2012-2014, $16.5K
Chen, F., Choi, E., Epps, J., and Taib, R., Robust Multimodal Cognitive Load Measurement, Asian Office of Aerospace Research and Development, 2012-2013, US$120K.
Epps, J., Morrison, G., and Sethu, V., Construction and installation of a Forensic Voice Comparison Laboratory, UNSW Major Research Equipment and Infrastructure Scheme, 2011, A$60K.
Epps, J., Ambikairajah, E., and Li, H., Joint modelling and recognition of linguistic and paralinguistic speech information, ARC Discovery Projects, 2011-2013, A$260K
Chen, F., and Epps, J., Neuroergonomic research for online assessment of cognitive workload, Asian Office of Aerospace Research and Development, 2010, US$20K
Morrison, G. S., Epps, J. R., Ambikairajah, E., Edmond, G., Gonzalez Rodriguez, J., Ramos, D., and Zhang, C., Making demonstrably reliable forensic voice comparison a practical everyday reality in Australia, ARC Linkage Projects, 2010-2013, A$556K
Chen, F., Choi, E., Epps, J., and Taib, R., Automatic Multimodal Cognitive Load Measurement, Asian Office of Aerospace Research and Development, 2010, US$60K
Burnham, D., Cox, F. M., Butcher, A. R., Fletcher, J. M., Wagner, M., Epps, J. R., Ingram, J. C., Arciuli, J., Togneri, R., Rose, P., Kemp, N., Cutler, A., Dale, R., Kuratate, T., Powers, D. M., Cassidy, S., Grayden, D. B., Loakes, D. E., Bennamoun, M., Lewis, T. W., Goecke, R., Best, C. T., Bird, S., Ambikairajah, E., Hajek, J. T., Ishihara, S., Kinoshita, Y., Tran, D., Chetty, G., and Onslow, M., The Big Australian Speech Corpus: An audio-visual speech corpus of Australian English, ARC LIEF, 2010, A$650K.
Epps, J., Ying, H., and Huttley, G., Investigation of nucleosome structure using signal processing based periodicity measures, UNSW Faculty of Engineering Early Career Researcher Grant, 2009, A$30K.
Morrison, G. S., Rose, P., Ishihara, S., Ambikairajah, E., Epps, J., Thiruvaran, T., Gonzalez-Rodriguez, J, and Ramos, D., Development and testing of a forensic-voice comparison database for Australian English, ANU Linkage Pilot Grant / ARC Network in Human Communication Science, 2009, A$4K.
Epps, J. R., and Ambikairajah, E., Speech Signal Processing Laboratory, UNSW Major Research Equipment and Infrastructure Scheme, 2008, A$61K.
Epps, J. R., Leedham, G., Pervouchine, V., and Ambikairajah, E., Speaker Authentication Research Laboratory, UNSW Asia Group Seed Funding Scheme, 2007, SGP$38.6K (A$31K).
Ambikairajah, E., and Epps, J. R., Genomic signal processing and statistics: New approaches to gene and exon prediction in DNA sequence analysis, UNSW Faculty of Engineering Research Grant, 2007, A$30K.
Ambikairajah, E., and Epps, J. R., New approaches for the analysis of microarray gene expression data and DNA sequences using digital signal processing techniques, UNSW Goldstar Award, 2005, A$30K.
NICTA research project funding and leadership:
Epps, J., Braccetto: Intense Remote Collaboration over a Shared Workspace, Endorsed by NICTA Research Management Coordination Committee, 2006-2009, ~A$450K p.a. (NICTA portion of proposal: Kellar, B, Vernik, R., Epps, J., and Schremmer, C., HxI: [braccetto] Business Case, 2006-2009, ~A$2.5m p.a.)
Project leader, Visualisation and Interaction on a Collaborative Access Table, 2005-2006, ~A$380K p.a.
Epps, J., and Chen, F., Funding support from ARC Network in Human Communication Science for NICTA-HCSNet MMUI Workshop 2005, A$10K.
[4] Cohn, J., Cummins, N., Epps, J., Goecke, R., Joshi, J., and Scherer, S., Multimodal Assessment of Depression and Related Disorders based on Behavioral Signals, in Oviatt, S., Schuller, B., Cohen, P., and Sonntag, D. (eds), Handbook of Multi-Modal Multi-Sensor Interfaces, Morgan and Claypool, 2017.
[3] Epps, J., Task Load and Stress, in Norman, K. (ed), Handbook for Human-Computer Interaction, Wiley, 2017.
[2] Sethu, V., Epps, J., and Ambikairajah, E., Speech based emotion recognition, in Ogunfunmi, T., Togneri, R., and Narasimha, M. (eds), Advances in Speech and Audio Processing for Coding, Enhancement and Recognition, Springer, 2014, ISBN 978-1493914555.
[1] Epps, J., and Ambikairajah, E., Speech characterization and feature extraction for speaker recognition, in Li, G, Toh, K.-A., and Li, H. (eds), Advanced Topics in Biometrics, World Scientific, 2011, ISBN 978-981-4287-84-5.
[1] Epps, J, Schuller, B., Cowie, R., Narayanan, S., and Tao, J., Emotion and Mental State Recognition from Speech, EURASIP J. Advances in Signal Processing, 2012.
[4] Busso, C., Epps, J., Hung, H., Mower-Provost, E., and Soleymani, M., (Eds), Proceedings of the 5th IEEE International Conference on Affective Computing and Intelligent Interaction, ACII'17, October 23-26, 2017, San Antonio, TX.
[3] Epps, J., Chen, F., Oviatt, S., Mase, K., Sears, A., Jokinen, K., and Schuller, B. (Eds), Proceedings of the 15th ACM International Conference on Multimodal Interaction, ICMI'13, December 9-13, 2013, Sydney Australia. ACM 2013, ISBN 978-1-4503-2129-7.
[2] Morency, L.-P., Bohus, D., Aghajan, H., Cassell, J., Nijholt, A., and Epps, J. (Eds), Proceedings of the 14th ACM International Conference on Multimodal Interaction, ICMI'12, October 22–26, 2012, Santa Monica, California, USA. ACM 2012, ISBN 978-1-4503-1467-1.
[1] Chen, F., and Epps, J, Proceedings of MMUI 2005 (NICTA-HCSNet Multimodal User Interaction Workshop), Conf. in Research and Practice in Information Technology, vol. 57, 2006, ISBN 1-920-68239-2.
[65] Wickramasinghe, B., Ambikairajah, E., Sethu, V., Epps, J., Li, H., and Dang, T., DNN controlled adaptive front-end for replay attack detection systems, Speech Communication, vol. 154, 2023.
[64] Chen, S. and Epps, J., A High-Quality Landmarked Infrared Eye Video Dataset (IREye4Task): Eye Behaviors, Insights and Benchmarks for Wearable Mental State Analysis, IEEE Trans. Affective Computing, to appear, 2023.
[63] Chen, S., Epps, J. and Paas, F., Pupillometric and Blink Measures of Diverse Task Loads: Implications for Working Memory Models, British Journal of Educational Psychology, to appear, 2023.
[62] Stasak, B., Joachim, D., and Epps, J., Breaking Age Barriers with Automatic Voice-Based Depression Detection, IEEE Pervasive Computing, 2022.
[61] Dzurak, A., Epps, J., Laucht, A., Malaney, R., Morello, A., Nurdin, H., Pla, J., Saraiva, A., and Yang., C., Development of an Undergraduate Quantum Engineering Degree, IEEE Trans. Quantum Engineering, 2022.
[60] Gunendradasan, T., Ambikairajah, E., Epps, J., Sethu, V., Li, H., An adaptive transmission line cochlear model based front-end for replay attack detection, Speech Communication, vol. 132, September 2021, pp. 114-122.
[59] Stasak, B., Epps, J., Schatten, H., Miller, I., Armey, M., and Mower Provost, E., Read Speech Voice Quality and Disfluency in Individuals with Recent Suicidal Ideation or Suicide Attempt, Speech Communication, vol. 132, September 2021, pp. 10-20.
[58] Aboutanios, E., Sethu, V., Ambikairajah, E., Taubman, D., and Epps, J., Teaching Signal Processing Through Frequent and Diverse Design, IEEE Signal Processing Magazine, April 2021, pp. 133-143.
[57] Stasak, B., Huang, Z., Razavi, S., Joachim, D., and Epps, J., Automatic Detection of COVID-19 Based on Short Duration Acoustic Smartphone Speech Analysis, J. Healthcare Informatics Research, vol. 11, March 2021, pp. 1-17.
[56] Jayawardena, S., Epps, J., and Ambikairajah, E., Ordinal Logistic Regression with Partial Proportional Odds for Depression Prediction, IEEE Trans. Affective Computing, 2021.
[55] Chen, S. and Epps, J., Multimodal Coordination Measures to Understand Users and Tasks, ACM Transactions on Computer-Human Interaction, vol. 27, no. 6, November 2020, pp. 1-26.
[54] Li, H., Epps, J., and Chen, S., Think before you speak: An investigation of eye activity patterns during conversations using eyewear, Int. J. Human-Computer Studies, vol. 143, November 2020.
[53] Latif, S., Rana, R., Khalifa, S., Jurdak, R., Epps, J., and Schuller, B., Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion Recognition, IEEE Trans. Affective Computing, vol. 13, no. 2, April 2022, pp. 992-1004.
[52] Chen, S. and Epps, J., Task Load Estimation from Multimodal Head-Worn Sensors using Event Sequence Features, IEEE Trans. Affective Computing, vol. 12, no. 3, 2021, pp. 622-635.
[51] Huang, Z., Epps, J., Joachim, D., and Sethu, V., Natural Language Processing Methods for Acoustic and Landmark Event-based Features in Speech-based Depression Detection, IEEE J. Selected Topics in Signal Processing, vol. 2, no. 2, 2020, pp. 435-448.
[50] Huang, Z., and Epps, J., An Investigation of Partition-based and Phonetically-aware Acoustic Features for Continuous Emotion Prediction from Speech, IEEE Trans. Affective Computing, vol. 11, no. 4, 2020, pp. 653-668.
[49] Stasak, B., Epps, J., and Goecke, R., Automatic Depression Classification Based on Affective Read Sentences: Opportunities for Text-Dependent Analysis, Speech Communication, vol. 115, December 2019, pp. 1-14.
[48] Chen, S. and Epps, J., Eyelid and Pupil Landmark Detection and Blink Estimation Based on Deformable Shape Models for Near-Field Infrared Video, Frontiers in ICT (Human-Media Interaction section), 2019.
[47] Huang, Z., Epps, J., and Joachim, D., Investigation of Speech Landmark Patterns for Depression Detection, IEEE Trans. Affective Computing, vol. 13, no. 2, April 2022, pp. 666-679.
[46] Chen, S. and Epps, J., Atomic Head Movement Analysis for Wearable Four-Dimensional Task Load Recognition, IEEE J. Biomed. and Health Informatics, vol. 23, no. 6, November 2019, pp. 2464-2474.
[45] Wong, H. K. M., Epps, J., and Chen, S., Automatic Pupillary Light Reflex Detection in Eyewear Computing, IEEE Trans. Cognitive and Developmental Systems, vol. 11, no. 4, December 2019, pp. 560-572.
[44] Wong, H. K. M., Epps, J., and Chen, S., A Comparison of Methods for Mitigating Within-Task Luminance Change for Eyewear-Based Cognitive Load Measurement, IEEE Trans. Cognitive and Developmental Systems, vol. 12, no. 4, 2020, pp. 681-694.
[43] Stasak, B., Epps, J., and Goecke, R., An Investigation of Linguistic Stress and Articulatory Vowel Characteristics for Automatic Depression Classification, Computer Speech and Language, vol. 53, 2018, pp. 140-155.
[42] Huang, Z., and Epps, J., Prediction of Emotion Change from Speech, Frontiers in ICT (Human-Media Interaction section), 2018.
[41] Epps, J., and Chen, S., Automatic Task Analysis: Towards Wearable Behaviometrics, IEEE Systems, Man and Cybernetics Magazine, vol. 4, no. 4, 2018, pp. 15-20.
[40] Cummins, N., Sethu, V., Epps, J., Williamson, J., Quatieri, T. F., and Krajewski, J., Generalized Two-Stage Rank Regression Framework for Depression Score Prediction from Speech, IEEE Trans. Affective Computing, 2017.
[39] Ravishankar, J., Epps, J., and Ambikairajah, E., A Flipped Mode Teaching Approach for Large and Advanced Electrical Engineering Courses, Eur. J. Engineering Education, 2017.
[38] Alghowinem, S., Goecke, R., Wagner, M., Epps, J., Hyett, M., Parker, G., and Breakspear, M., Multimodal Depression Detection: Fusion Analysis of Paralinguistic, Head Pose and Eye Gaze Behaviors, IEEE Trans. Affective Computing, vol. 9, no. 4, December 2016, pp. 478-490.
[37] Wong, H. K., and Epps, J., Pupillary Transient Responses to Within-task Cognitive Load Variation, Computer Methods and Programs in Biomedicine, vol. 137, December 2016, pp. 47-63.
[36] Cummins, N., Sethu, V., Epps, J., Schnieder, S., and Krajewski, J., Analysis of Acoustic Space Variability in Speech Affected by Depression, Speech Communication, vol. 75, December 2015, pp. 27-49.
[35] Eyben, F., Scherer, K., Schuller, B., Sundberg, J., André, E., Busso, C., Devillers, L., Epps, J., Laukka, P., Narayanan, S., and Truong, K., The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing, IEEE Trans. Affective Computing, vol. 7, no. 2, 2015, pp. 190-202.
[34] Zarjam, P., Epps, J., and Lovell, N., Beyond Subjective Self-Rating: EEG Signal Classification of Cognitive Workload, IEEE Trans. Autonomous Mental Development, vol. 7, no. 4, June 2015, p. 301-310.
[33] Yap, T. F., Epps, J., Ambikairajah, E., and Choi, E. H. C., Voice Source Under Cognitive Load: Effects and Classification, Speech Communication, vol. 72, September 2015, pp. 74-95.
[32] Cummins, N., Scherer, S., Krajewski, J., Schnieder, S., Epps, J., and Quatieri, T. F., A Review of Depression and Suicide Risk Assessment using Speech Analysis, Speech Communication, vol. 71, July 2015, pp. 10-49.
[31] Huang, C. C., Epps, J., and Thiruvaran, T., An Investigation of Supervector Regression for Forensic Voice Comparison on Small Data, EURASIP J. Audio, Speech and Music Processing, 2015.
[30] Chen, S., and Epps, J., Efficient and Robust Pupil Size and Blink Estimation from Near-field Video Sequences for Human-Machine Interaction, IEEE Trans. Cybernetics, vol. 44, no. 12, 2014, pp. 2356-2367.
[29] Chen, S., and Epps, J., Using Task-induced Pupil Diameter and Blink Rate to Infer Cognitive Load, Human-Computer Interaction, vol. 29, no. 4, 2014, pp. 390-413.
[28] Zarjam, P., Epps, J., Chen, F., and Lovell, N.,Estimating cognitive workload using wavelet entropy-based features during an arithmetic task, Computers in Biology and Medicine, vol. 43, no. 12, December 2013, pp. 2186-2195.
[27] Sethu, V., Ambikairajah, E., and Epps, J., On the use of Speech Parameter Contours for Emotion Recognition, EURASIP J. Audio, Speech and Music Processing, 2013.
[26] Chen, S., and Epps, J., Blinking: Towards Wearable Computing that Understands your Current Task, IEEE Pervasive Computing, vol. 12, no. 3, July-Sept. 2013, pp. 56-65.
[25] Chu, D., Li, K., Epps, J., Smith, J., and Wolfe, J., Experimental evaluation of inverse filtering using physical systems with known glottal flow and tract characteristics, J. Acoust. Soc. Am., vol. 133, no. 5, 2013, pp. EL358-EL362.
[24] Kua, J. M. K., Epps, J., and Ambikairajah, E., I-vectors with Sparse Representation Classification for Speaker Verification, Speech Communication, vol. 55, no. 5, June 2013, pp. 707-720.
[23] Maunder, D. J., Epps, J., Ambikairajah, E., and Celler, B., “Robust Sounds of Activities of Daily Living Classification in Two-Channel Audio-Based Telemonitoring”, Int. J. of Telemedicine and Applications, 2013.
[22] Joshi, J., Goecke, R., Alghowinem, S., Dhall, A., Wagner, M., Epps, J., Parker, G., and Breakspear, M., Multimodal Assistive Technologies for Depression Diagnosis and Monitoring, Journal on Multimodal User Interfaces Special Issue on Multimodal Interfaces for Pervasive Assistance, vol. 7, no. 3, November 2013, pp. 217-228.
[21] Chen, S., and Epps, J., Automatic Classification of Eye Activity for Cognitive Load Measurement with Emotion Interference, Computer Methods and Programs in Biomedicine, vol. 110, no. 2, May 2013, pp. 111-124.
[20] Chen, F., Ruiz, N., Choi, E., Epps, J., Khawaja, M. A., Taib, R., Yin, B., and Wang, Y., Multimodal Behaviour and Interaction as Indicators of Cognitive Load, ACM Transactions on Intelligent Interactive Systems, vol. 2, no. 4, December 2012, Article 22.
[19] Epps, J., Ying, H., and Huttley, G. A., Statistical Methods for Detecting Periodic Fragments in DNA Sequence Data, Biology Direct, vol. 6, no. 21, 2011. (most highly accessed Biology Direct article during May 2011)
[18] Le, P., Ambikairajah, E., Epps, J., Sethu, V., and Choi, E. H. C., Investigation of Spectral Centroid Features for Cognitive Load Classification, Speech Communication, vol. 54, no. 4, 2011, pp. 540-551.
[17] Yap, T. F., Epps, J., Ambikairajah, E., and Choi, E. H. C., Formant Frequencies Under Cognitive Load: Effects and Classification, EURASIP J. Advances in Signal Processing, 2011.
[16] Chung, L. J., Sen, D. and Epps, J., Inter-Band Mutual Information in Blind Audio Bandwidth Extension, J. Audio Eng. Soc., vol. 58, no. 11, Nov. 2010, pp. 952-965.
[15] Vinh, N. X., Epps, J., and Bailey, J., Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance, J. Machine Learning Research, vol. 11, 2010, pp. 2837-2854.
[14] Ying, H., Epps, J., Williams, R., and Huttley, G., Evidence that localised variation in primate sequence divergence arises from an influence of nucleosome placement on DNA repair, Molecular Biology and Evolution, vol. 27, no. 3, March 2010, pp. 637-649.
[13] Nosratighods, M., Ambikairajah, E., Epps, J., and Carey, M., A Segment Selection Technique for Speaker Verification, Speech Communication layout-grid-mode:line;'>, vol. 52, 2010, pp. 753-761.
[12] Gunawan, T. S., Ambikairajah, E.., and Epps, J., Perceptual Speech Enhancement Exploiting Temporal Masking Properties of Human Auditory System, Speech Communication, vol. 52, no. 5, May 2010, pp. 381-393.
[11] Epps, J., Fast approximate computation of non-uniform DFTs for biological sequence analysis, IET Electronics Letters, vol. 45, no. 8, 2009, pp. 429-430.
[10] Thiruvaran, T., Nosratighods, M., Ambikairajah, E., and Epps, J., Computationally efficient frame-averaged FM feature extraction for speaker recognition, IET Electronics Letters, vol. 45, no. 6, 2009, pp. 335-337.
[9] Epps, J., A Hybrid Technique for Periodicity Characterisation of Genomic Sequence Data, EURASIP J. Bioinformatics and Systems Biology, vol. 2009, Article ID 924601, 2009.
[8] Akhtar, M., Epps, J., and Ambikairajah, E., Signal Processing in Sequence Analysis: Advances in Eukaryotic Gene Prediction, IEEE J. Selected Topics in Signal Processing, vol. 2, no. 3, June 2008, pp. 310-321.
[7] Thiruvaran, T., Ambikairajah, E., and Epps, J., Extraction of FM components from speech signals using an all-pole model, IET Electronics Letters, vol. 44, no. 6, March 2008, pp. 449-450
[6] Gunawan, T. S., Epps, J., and Ambikairajah, E., A Boosting Approach to Exon Detection in DNA Sequences, IET Electronics Letters layout-grid-mode:line;'>, vol. 44, no. 4, 2008, pp. 323-324.
[5] Song, L., and Epps, J., Classifying EEG for Brain-Computer Interface: Learning Optimal Filters for Dynamical System Features, J. Computational Intelligence and Neuroscience, 2007.
[4] Epps, J. R., Ambikairajah, E., and Thiruvaran, T., Robust FM demodulation of discrete-time signals using a least squares differential ratio, IET Electronics Letters, vol. 43, no. 13, June 2007, pp. 727-729. (errata)
[3] Ambikairajah, E., Epps, J., and Sheng, M., Signal Processing Education using the Tablet PC and Electronic Whiteboard, IEEE Signal Processing Magazine, vol. 24, iss. 1., January 2007, pp. 130-133 (invited paper).
[2] Epps, J. R., and Holmes, W. H., Coding wideband speech at narrowband bit rates, Acoustics Australia, vol. 29, no. 1, April 2001, pp. 13-16.
[1] Epps, J., Smith, J. R., and Wolfe, J., A novel instrument to measure acoustic resonances of the vocal tract during speech, Measurement Science and Technology, vol. 8, 1997, pp. 1112-1121.
[134] Chen, S. and Epps, J., Recognizing Conversational State from the Eye Using Wearable Eyewear, in Proc. IEEE Int. Conf. on Affective Computing and Intelligent Interaction (Boston, MA), 2023, to appear.
[133] Chen, S. and Epps, J., What Does The Eye Best Tell? An Investigation of Eye Activity for Emotion, Cognitive load and Task Transition, in Proc. IEEE Int. Conf. on Systems, Man and Cybernetics (virtual), 2021.
[132] Lam, C., Epps, J., and Chen, S., Wearable Fatigue Detection Based on Blink-Saccade Synchronisation, in Proc. IEEE Int. Conf. on Systems, Man and Cybernetics (virtual), 2021.
[131] Wang, Z., Epps, J., and Chen, S., An Investigation of Automatic Saccade and Fixation Detection from Wearable Infrared Cameras, in Proc. IEEE Int. Conf. on Systems, Man and Cybernetics (virtual), 2021.
[130] Stasak, B., Huang, Z., Epps, J., and Joachim, D., Depression Classification Using n-Gram Speech Errors from Manual and Automatic Stroop Color Test Transcripts, in Proc. IEEE Engineering in Medicine and Biology Conference (virtual), 2021, pp. 1631-1635.
[129] Ahmed, B., Ballard, K., Sirojan, T., Mehmood, H., Estival, D., Baker, E., Cox, F., Arciuli, J., Benders, T., Demuth, K., Kelly, B., Diskin-Holdaway, C., Burnham, D., Shahin, M., Sethu, V., Epps, J., Lee, C. B., and Ambikairajah, E., AusKidTalk: An Auditory-Visual Corpus of 3- to 12-year-old Australian Children’s Speech, in Proc. INTERSPEECH (Brno, Czech Republic), 2021.
[128] Stasak, B., Huang, Z., Joachim, D., and Epps, J., Automatic Elicitation Compliance Detection for Short-duration Speech-based Depression Detection, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc. (Toronto, Canada), 2021.
[127] Huang, Z., Epps, J., Joachim, D., Stasak, B., Williamson, J., and Quatieri, T., Domain Adaptation for Enhancing Speech-based Depression Detection in Natural Environmental Conditions Using Dilated CNNs, in Proc. INTERSPEECH (Shanghai, China), 2020.
[126] Jayawardena, S., Epps, J., and Huang, Z., How Ordinal Are Your Data ?, in Proc. INTERSPEECH (Shanghai, China), 2020.
[125] Li, H., Chen, S., and Epps, J., Augmenting Turn-taking Prediction with Wearable Eye Activity During Conversation, in Proc. INTERSPEECH (Shanghai, China), 2020.
[124] Parasu, P. Epps, J., Sriskandaraja, K., and Suthokumar, G., Investigating Light-ResNet Architecture for Spoofing Detection under Mismatched Conditions, in Proc. INTERSPEECH (Shanghai, China), 2020.
[123] Shahin, M. Lu, R., Epps, J., and Ahmed, B.,UNSW System Description for the Shared Task on Automatic Speech Recognition for Non-Native Children’s Speech, in Proc. INTERSPEECH (Shanghai, China), 2020.
[122] Chen, S. and Epps, J., Multimodal Event-based Task Load Estimation from Wearables, in IEEE Int. Joint Conf. on Neural Networks, 2020.
[121] Huang, Z., Epps, J., and Joachim, D., Exploiting Vocal Tract Coordination using Dilated CNNs for Depression Detection in Naturalistic Environments, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc. (Barcelona, Spain), 2020.
[120] Shahin, M., Ahmed, B., Smith, D., Duenser, A., and Epps, J., Automatic Screening of Children with Speech Sound Disorders using Paralinguistic Features, in Proc. IEEE Int. Workshop on Machine Learning for Signal Processing (Pittsburgh, PA), 2019.
[119] Li, H., Chen, S., and Epps, J., Wearable Facial Action Unit Classification from Near-field Infrared Eye Images using Deformable Models, in Proc.ACII Workshop on Social & Emotion AI for Industry (Cambridge, UK), 2019.
[118] Atcheson, M., Sethu, V., and Epps, J., Using Gaussian Processes with LSTM Neural Networks to Predict Continuous-Time, Dimensional Emotion in Ambiguous Speech, in Proc. Affective Computing and Intelligent Interaction (Cambridge, UK), 2019.
[117] Huang, Z., Epps, J., and Joachim, D., Speech Landmark Bigrams for Depression Detection from Naturalistic Smartphone Speech, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc. (Brighton, UK), 2019.
[116] Jayawardena, S., Epps, J., and Ambikairajah, E., Evaluation Measures for Depression Prediction and Affective Computing, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc. (Brighton, UK), 2019.
[115] Wickramasinghe, B., Ambikairajah, E., Epps, J., Sethu, V., and Li, H., Auditory Inspired Spatial Differentiation for Replay Spoofing Attack Detection, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc. (Brighton, UK), 2019.
[114] Gunendradasan, T., Irtza, S., Ambikairajah, E., and Epps, J., Transmission Line Cochlear Model Based AM-FM Features for Replay Attack Detection, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc. (Brighton, UK), 2019.
[113] Wataraka Gamage, K., Dang, T., Sethu, V., Epps, J. and Ambikairajah, E., Speech-based Continuous Emotion Prediction by Learning Perception Responses related to Salient Events: A Study based on Vocal Affect Bursts and Cross-Cultural Affect in AVEC 2018, in Proc. 7th Int. Workshop on Audio-Visual Emotion Challenge 2018, a satellite event of ACM Multimedia (Seoul, Korea), 2018.
[112] Huang, Z., Epps, J., Joachim, D., and Chen, M.,Depression Detection from Short Utterances via Diverse Smartphones in Natural Environmental Conditions, in Proc. INTERSPEECH (Hyderabad, India), 2018.
[111] Atcheson, M., Sethu, V., and Epps, J., Demonstrating and modelling systematic time-varying annotator disagreement in continuous emotion annotation, in Proc. INTERSPEECH (Hyderabad, India), 2018.
[110] Wickramasinghe, B., Irtza, S., Ambikairajah, E., and Epps, J., Frequency Domain Linear Prediction Features for Replay Spoofing Attack Detection, in Proc. INTERSPEECH (Hyderabad, India), 2018.
[109] Gunendradasan, T., Wickramasinghe, B., Le, P., Ambikairajah, E., and Epps, J., Detection of Replay-Spoofing Attack using Frequency Modulation Features, in Proc. INTERSPEECH (Hyderabad, India), 2018.
[108] Latif, S., Rana, R., Younis, S., Qadir, J., and Epps, J., Transfer Learning for Improving Speech Emotion Classification Accuracy, in Proc.INTERSPEECH (Hyderabad, India), 2018.
[107] Latif, S., Rana, R., Qadir, J., and Epps, J.,Variational Autoencoders for Learning Latent Representations of Speech Emotion, in Proc.INTERSPEECH (Hyderabad, India), 2018.
[106] Stasak, B., Epps, J., and Lawson, A., Analysis of Phonetic Markedness and Gestural Effort Measures for Acoustic Speech-Based Depression Classification, in Proc. 1st Int. Workshop on Tools and Algorithms for Mental Health and Wellbeing, Pain and Distress, a satellite event of IEEE ACII (San Antonio, TX), 2017.
[105] Stasak, B., and Epps, J., Differential Performance of Automatic Speech-Based Depression Classification Across Smartphone Manufacturers, in Proc. 1st Int. Workshop on Tools and Algorithms for Mental Health and Wellbeing, Pain and Distress, a satellite event of IEEE ACII (San Antonio, TX), 2017.
[104] Dang, T., Stasak, B., Huang, Z., Jayawardena, S., Atcheson, M., Hayat, M., Le, P., Sethu, V., Goecke, R., and Epps, J.,Investigating Word affect Features and Fusion of Probabilistic Predictions Incorporating Uncertainty in AVEC 2017, in Proc. 6th Int. Workshop on Audio-Visual Emotion Challenge 2017, a satellite event of ACM Multimedia (San Francisco, CA), 2017.
[103] Huang, Z., and Epps, J., An Investigation of Emotion Dynamics and Kalman Filtering for Speech-based Emotion Prediction, in Proc. INTERSPEECH (Stockholm, Sweden), 2017.
[102] Stasak, B., Epps, J., and Goecke, R., Elicitation Design for Acoustic Depression Classification: An Investigation of Articulation Effort, Linguistic Complexity, and Word Affect, in Proc. INTERSPEECH (Stockholm, Sweden), 2017.
[101] Chen, S., Epps, J., Ambikairajah, E., and Le, P., An Investigation of Crowd Speech for Room Occupancy Estimation, in Proc. INTERSPEECH (Stockholm, Sweden), 2017.
[100] Dang, T., Sethu, V., Epps, J., and Ambikairajah, E., An Investigation of Emotion Prediction Uncertainty Using Gaussian Mixture Regression, in Proc. INTERSPEECH (Stockholm, Sweden), 2017.
[99] Atcheson, M., Sethu, and Epps, J., Gaussian Process Regression for Continuous Emotion Recognition with Global Temporal Invariance, in Proc. 1st Workshop on Artificial Intelligence in Affective Computing, a satellite event of Int. Joint Conf. on Artificial Intelligence IJCAI, (Melbourne, Australia), 2017.
[98] Fernando, S., Sethu, V., Ambikairajah, E., and Epps, J., Bidirectional Modelling for Short Duration Language Identification, in Proc. INTERSPEECH (Stockholm, Sweden), 2017.
[97] Huang, Z., and Epps, J., A PLLR and Multi-stage Staircase Regression Framework for Speech-Based Emotion Prediction, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc. (New Orleans, LA), 2017.
[96] Huang, Z., Stasak, B., Dang, T., Wataraka Gamage, K., Le, P., Sethu, V. and Epps, J., Staircase Regression in OA RVM, Data Selection and Gender Dependency in AV+EC 2016, in Proc. 5th Int. Workshop on Audio-Visual Emotion Challenge 2016, a satellite event of ACM Multimedia (Amsterdam, Netherlands), 2016.
[95] Stasak, B., Epps, J., Cummins, N., and Goecke, R., An Investigation of Emotional Speech in Depression Classification, in Proc. INTERSPEECH (San Francisco, CA), 2016.
[94] Shahin, M., Epps, J., and Ahmed, B., Automatic Classification of Lexical Stress in English and Arabic Languages using Deep Learning, in Proc. INTERSPEECH (San Francisco, CA), 2016.
[93] Alghowinem, S., Goecke, R., Epps, J., Wagner, M., and Cohn, J., Cross-Cultural Depression Recognition from Vocal Biomarkers, in Proc. INTERSPEECH (San Francisco, CA), 2016.
[92] Huang, Z., and Epps, J., Detecting the Instant of Emotion Change Detection from Speech using a Martingale Framework, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc. (Shanghai, China), 2016, pp. 5195-5199.
[91] Hines, C., Sethu, V., and Epps, J., Twitter: A New Online Source of Automatically Tagged Data for Conversational Speech Emotion Recognition, in Proc. 1stInt. Workshop on Affect and Sentiment in Multimedia 2015, a satellite event of ACM Multimedia (Brisbane, Australia), 2015, pp. 9-14.
[90] Huang, Z., Dang, T., Cummins, N., Stasak, B., Le, P., Sethu, V., and Epps, J., An Investigation of Annotation Delay Compensation and Output-Associative Fusion for Multimodal Continuous Emotion Prediction, in Proc.4th Int. Workshop on Audio-Visual Emotion Challenge 2015, a satellite event of ACM Multimedia (Brisbane, Australia), 2015, pp. 41-48.
[89] Cummins, N., Sethu, V., Epps, J., and Krajewski, J., Relevance Vector Machine for Depression Prediction, in Proc. INTERSPEECH (Dresden, Germany), 2015, pp. 110-114.
[88] Huang, Z., Epps, J., and Ambikairajah, E.,An Investigation of Emotion Change Detection from Speech, in Proc.INTERSPEECH (Dresden, Germany), 2015, pp. 1329-1333.
[87] Makepeace, R. M., and Epps, J., Automatic Task Analysis Based on Head Movement, in Proc. IEEE Engineering in Medicine and Biology Conference (Milan, Italy), 2015, pp. 5167-5170.
[86] Larsen, M. E., Cummins, N., Boonstra, T., O'Dea, B., Tighe, J., Nicholas, J., Shand, F., Epps, J., and Christensen, H., The Use of Technology in Suicide Prevention, in Proc. IEEE Engineering in Medicine and Biology Conference (Milan, Italy), 2015, pp. 7316-7319.
[85] Cummins, N., Epps, J., Sethu, V., and Krajewski, J., Weighted Pairwise Gaussian Likelihood Regression for Depression Score Prediction, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc. (Brisbane, Australia), 2015, pp. 4779-4483.
[84] Cummins, N., Sethu, V., Epps, J., and Krajewski, J., Probabilistic Acoustic Volume Analysis for Speech Affected by Depression, in Proc. INTERSPEECH (Singapore), 2014.
[83] Schuller, B., Steidl, S., Batliner, A., Epps, J., Eyben, F., Ringeval, F., Marchi, E., and Zhang, Y., The INTERSPEECH 2014 Computational Paralinguistics Challenge: Cognitive and Physical Load, in Proc. INTERSPEECH (Singapore), 2014.
[82] Cummins, N., Epps, J., Sethu, V., and Krajewski, J., Variability Compensation in Small Data: Oversampled Extraction of i-vectors for the Classification of Depressed Speech, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc.(Florence, Italy), 2014, pp. 970-974.
[81] Huang, C. C., Epps, J., and Enzinger, E., Separate MAP Adaptation of GMM Parameters for Forensic Voice Comparison on Limited Data, in Proc. IEEE Workshop on Information Forensics and Security.(Guangzhou, China), 2013, pp. 1-6.
[80] Cummins, N., Joshi, J., Dhall, A., Sethu, V., Goecke, R., and Epps, J., “Diagnosis of Depression by Behavioural Signals: A Multimodal Approach”, in Proc. Audio-Visual Emotion Challenge 2013, a workshop of ACM Multimedia, 2013, pp. 11-20.
[79] Sethu, V., Epps, J., Ambikairajah, E., and Li, H., GMM based Speaker Variability Compensated System for Interspeech 2013 ComParE Emotion Challenge, in Proc. INTERSPEECH (Lyon, France), 2013.
[78] Cummins, N., Epps, J., Sethu, V., Breakspear, M., and Goecke, R., Modeling Spectral Variability for the Classification of Depressed Speech, in Proc. INTERSPEECH(Lyon, France), 2013.
[77] Alghowinem, S., Goecke, R., Wagner, M., Epps, J., Parker, G., and Breakspear, M., “Characterising Depressed Speech for Classification, in Proc. INTERSPEECH (Lyon, France), 2013
[76] Saeidi, R., Lee, K. A., Kinnunen, T., Hasan, T., Fauve, B., Bousquet, P.-M., Khoury, E., Sordo Martinez, P.L., Thiruvaran, T., You, C.H., Sun, H., Larcher, A., Rajan, P., Hautamäki V., Hanilci, C., Braithwaite, B., Gonzales-Hautamäki, R., Sadjadi, S.O., Liu, G., Boril, H., Shokouhi, N., Matrouf, D., El Shafey, L., Mowlaee, P., Epps, J., Min, J., Kua, K., van Leeuwen, D.A., Ma, B., Li, H., Hansen, J.H.L., Bonastre, J.-F., Marcel, S., Mason, J., Ambikairajah, E., “I4U submission to NIST SRE 2012: A large-scale collaborative effort for noise-robust speaker verification”, in Proc. INTERSPEECH (Lyon, France), 2013.
[75] Yu, K., Epps, J., and Chen, F., Mental Workload Classification via Online Writing Features, in Proc. Int. Conf. on Document Analysis and Recognition (Washington DC), 2013, pp. 1110-1114.
[74] Chen, S., Epps, J., and Chen, F., An Investigation of Pupil-based Cognitive Load Measurement with Low Cost Infrared Webcam under Light Reflex Interference, in Proc. IEEE Engineering in Medicine and Biology Conference (Kyoto, Japan), 2013, pp. 3202 - 3205.
[73] Sethu, V., Epps, J., and Ambikairajah, E.,Speaker Variability in Speech Based Emotion Models – Analysis and Normalisation, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc. (Vancouver, Canada), 2013, pp. 7522-7526.
[72] Cummins, N., Epps, J., and Ambikairajah, E.,Spectro-Temporal Analysis of Speech Affected by Depression and Psychomotor Retardation, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc. (Vancouver, Canada), 2013, pp. 7542-7546.
[71] Alghowinem, S., Goecke, R., Wagner, M., Epps, J., Gedeon, T., Breakspear, M., and Parker, G., A Comparative Study of Different Classifiers for Detecting Depression for Spontaneous Speech, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc.(Vancouver, Canada), 2013, pp. 8022-8026.
[70] Alghowinem, S., Goecke, R., Wagner, M., Epps, J., Breakspear, M., and Parker, G., Detecting Depression: A Comparison Between Spontaneous and Read Speech, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc. (Vancouver, Canada), 2013, pp. 7547-7551.
[69] Chen, S., Epps, J., and Chen, F., Automatic and Continuous User Task Analysis using Eye Activity, in Proc. Int. Conf. on Intelligent User Interfaces (Santa Monica, CA), 2013, pp. 57-66.
[68] Bellani, M., Epps, J., and Huttley, G., A Comparison of Periodicity Profile Methods for Sequence Analysis, in Proc. IEEE Workshop on Genomic Signal Processing and Statistics (Washington DC), 2012, pp. 78-81.
[67] Zarjam, P., Epps, J., Lovell, N., and Chen, F., Classification of Working Memory Load using Wavelet Complexity Features of EEG Signals, in Proc. Int. Conf. on Neural Information Processing (Doha, Qatar), 2012, pp. 692-699.
[66] Ding, N., and Epps, J., Speaker Clustering in Emotion Recognition, in Proc. INTERSPEECH (Portland, OR), 2012, pp. 1163-1166.
[65] Cummins, N., Epps, J., and Kua, J. M. K., A Comparison of Classification Paradigms for Speaker Likeability Determination, in Proc. INTERSPEECH (Portland, OR), 2012, pp. 282-285.
[64] Zarjam, P., Epps, J., Lovell, N., and Chen, F., Characterization of Memory Load in an Arithmetic Task using Non-Linear Analysis of EEG Signals, in Proc. IEEE Engineering in Medicine and Biology Conference (San Diego, CA), 2012, pp. 3519-3522.
[63] Ding, N., Sethu, V., Epps, J., and Ambikairajah, E. Speaker variability in emotion recognition – An adaptation based approach, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc. (Kyoto, Japan), 2012, pp. 5101-5104.
[62] Huang, C. C., and Epps, J., A study of automatic phonetic segmentation for forensic voice comparison, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc. (Kyoto, Japan), 2012, pp. 1853-1856.
[61] Zarjam, P., Epps, J., and Chen, F., Spectral EEG Features for Evaluating Cognitive Load, in Proc. IEEE Engineering in Medicine and Biology Conference (Boston, MA), 2011, pp. 3841-3844.
[60] Cummins, N., Epps, J., Breakspear, M., and Goecke, R., An Investigation of Depressed Speech Detection: Features and Normalization, in Proc.INTERSPEECH (Florence, Italy), 2011, pp. 2997-3000.
[59] Burnham, D., Estival, D., Fazio, S., Cox, F., Dale, R., Viethen, J., Cassidy, S., Epps, J., Tognieri, R., Kinoshita, Y., Goecke, R., Arciuli, J., Onslow, M., Lewis, T., Butcher, A., Hajek, J., and Wagner, M., Building an audio-visual corpus of Australian English: large corpus collection with an economical portable and replicable Black Box, in Proc. INTERSPEECH (Florence, Italy), 2011, pp. 841-844.
[58] Knoll, A., Wang, Y., Chen, F., Xu, J., Ruiz, N., Epps, J., and Zarjam, P., Measuring Cognitive Workload with Low-Cost Electroencephalograph, in Proc. INTERACT (Lisbon, Portugal), 2011, pp. 568-571.
[57] Kua, J. M. K., Ambikairajah, E., Epps, J., and Togneri, R., Speaker Verification using Sparse Representation Classification, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc. (Prague, Czech Republic), 2011, pp. 4548-4551.
[56] Kua, J. M. K., Epps, J., Nosratighods, M., Ambikairajah, E., and Choi, E. H. C., Using Clustering Comparison Measures for Speaker Recognition, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc. (Prague, Czech Republic), 2011, pp. 5452-5455.
[55] Yap, T. F., Epps, J., Ambikairajah, E., and Choi, E. H. C., Voice Source Features for Cognitive Load Classification, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc. (Prague, Czech Republic), 2011, pp. 5700-5703.
[54] Chen, S., Epps, J., Ruiz, N., and Chen, F., Eye activity as a measure of human mental effort in HCI , in Proc. Int. Conf. on Intelligent User Interfaces (Palo Alto, CA), 2011, pp. 315-318.
[53] Yu, K., Epps, J., and Chen, F., Cognitive Load Evaluation of Handwriting Using Stroke-level Features, in Proc. Int. Conf. on Intelligent User Interfaces (Palo Alto, CA), 2011, pp. 423-426.
[52] Ambikairajah, E., and Epps, J., Project-based learning in digital signal processing: Development and experiences, in Proc. IEEE Workshop on Signal Processing Education (Sedona, AZ), 2011, pp. 506-511.
[51] Vinh, N. X., and Epps, J., minCEntropy: a Novel Information Theoretic Approach for the Generation of Alternative Clusterings, in Proc. IEEE Int. Conf. on Data Mining (Sydney, Australia), 2010, pp. 521-530.
[50] Yap, T. F., Epps, J., Ambikairajah, E., and Choi, E. H. C., An Investigation of Formant Frequencies for Cognitive Load Classification, in Proc.INTERSPEECH (Makuhari, Japan), 2010, pp. 2022-2025.
[49] Kua, J. M. K., Thiruvaran, T., Nosratighods, M., Ambikairajah, E., and Epps, J., Investigation of spectral centroid magnitude and frequency for speaker recognition, in Proc. Odyssey: The Speaker and Language Recognition Workshop (Brno, Czech Repulic), 2010, pp. 34-39.
[48] Morrison, G., Thiruvaran, T., and Epps, J., Estimating the Precision of the Likelihood-Ratio Output of a Forensic-Voice-Comparison System, in Proc. Odyssey: The Speaker and Language Recognition Workshop (Brno, Czech Repulic), 2010, pp. 63-70.
[47] Le, P., Epps, J., Choi, E., and Ambikairajah, E., A Study of Voice Source and Vocal Tract Filter Based Features in Cognitive Load Classification, in Proc. IEEE Int. Conf. on Pattern Recognition (Istanbul, Turkey), 2010, pp. 4516-4519.
[46] Yap, T. F., Epps, J., Choi, E., and Ambikairajah, E., Glottal features for speech-based cognitive load classification, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc. (Dallas, TX), 2010, pp. 5234 - 5237.
[45] Kua, J. M. K., Epps, J., and Ambikairajah, E., LS Regularization of Group Delay Features for Speaker Recognition, in Proc. INTERSPEECH (Brighton, UK), 2009, pp. 2287-2890.
[44] Thiruvaran, T., Ambikairajah, E., and Epps, J., Analysis of band structures for speaker-specific information in FM feature extraction, in Proc. INTERSPEECH (Brighton, UK), 2009, pp. 1111-1114.
[43] Sethu, V., Ambikairajah, E., and Epps, J., Pitch Contour Parameterisation based on Linear Stylisation for Emotion Recognition, in Proc. INTERSPEECH (Brighton, UK), 2009, pp. 2011-2014.
[42] Vinh, N. X., Epps, J., and Bailey, J., Information Theoretic Measures for Clusterings Comparison: Is a Correction for Chance Necessary?, in Proc. Int. Conf. on Machine Learning (Montreal, Canada), 2009, pp. 1073-1080.
[41] Vinh, N. X., and Epps, J., A Novel Approach for Automatic Number of Clusters Detection in Microarray Data based on Consensus Clustering, in Proc. IEEE Int. Conf. on Bioinformatics and Bioengineering (Taipei, Taiwan), 2009, pp. 84-91.
[40] Li, H., Ma, B., Lee, K.-A., Sun, H., Zhu, D., Sim, K. C., You, C., Tong, R., Karkkainen, I., Huang, C.-L., Pervouchine, V., Guo, W., Li, Y., Dai, L., Nosratighods, M., Tharmarajah, T., Epps, J., Ambikairajah, E., Chng, E.-S., Schultz, T., Jin, Q., The I4U system in NIST 2008 speaker recognition evaluation, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc. (Taipei, Taiwan), 2009, pp. 4201-4204.
The I4U submission was ranked among the top few of 46 in the NIST SRE 2008.
[39] Nosratighods, M., Thiruvaran, T., Epps, J., Ambikairajah, E., Ma, B., Li, H., Evaluation of a Fused FM and Cepstral-Based Speaker Recognition System on the NIST 2008 SRE, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc. (Taipei, Taiwan), 2009, pp. 4233-4236.
[38] Sethu, V., Ambikairajah, E., and Epps, J., Speaker dependency of spectral features and speech production cues for automatic emotion classification, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc. (Taipei, Taiwan), 2009, pp. 4693-4696.
[37] Maunder, D. J., Ambikairajah, E., Epps, J., and Celler, B., Dual-Microphone Sounds of Daily Life Classification for Telemonitoring in a Noisy Environment, in Proc. IEEE Engineering in Medicine and Biology Conference (Vancouver, Canada), 2008, pp. 4636-4639.
[36] Thiruvaran, T., Ambikairajah, E., and Epps, J., FM Features for Forensic Speaker Recognition, in Proc. INTERSPEECH (Brisbane, Aust.), 2008, pp. 1497-1500.
[35] Sethu, V., Ambikairajah, E., and Epps, J., Phonetic and Speaker Variations in Automatic Emotion Classification, in Proc. INTERSPEECH (Brisbane, Aust.), 2008, pp.617-620.
S.Vidhyasaharan won the ASSTA New Researcher Award 2008 with this paper.
[34] Epps, J., Ambikairajah, E., and Akhtar, M., An Integer Period DFT for Biological Sequence Processing, in Proc. IEEE Workshop on Genomic Signal Processing and Statistics (Phoenix, AZ), 2008, pp. 1-4.
[33] Sethu, V., Ambikairajah, E., and Epps, J., Empirical Mode Decomposition Based Weighted Frequency Feature for Speech-Based Emotion Classification, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc. (Las Vegas, NV), 2008, pp. 5017-5020.
[32] Akhtar, M., Ambikairajah, E., and Epps, J., Optimizing Period-3 Methods for Eukaryotic Gene Prediction, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc. (Las Vegas, NV), 2008, pp. 621-624.
[31] Ambikairajah, E., Epps, J., and Freney, S. J., A Self-Directed Learning Approach to Signal Processing Education, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc. (Las Vegas, NV), 2008, pp. 2645-2648.
[30] Sethu, V., Ambikairajah, E., and Epps, J., Group Delay Features for Emotion Detection, in Proc. 9th European Conference on Speech Communication and Technology (EUROSPEECH), (Antwerp, Belgium), 2007, pp. 2273-2276.
[29] Thiruvaran, T., Ambikairajah, E., and Epps, J., Normalization of Modulation Features for Speaker Recognition, in Proc. IEEE Int. Conf. on Digital Signal Processing (Cardiff, UK), 2007, pp. 599-602.
[28] Akhtar, M., Ambikairajah, E., and Epps, J., GMM-Based Classification of Genomic Sequences, in Proc. IEEE Int. Conf. on Digital Signal Processing (Cardiff, UK), 2007, pp. 103-106.
[27] Sethu, V., Ambikairajah, E., and Epps, J., Speaker Normalization of Speech-Based Emotion Recognition, in Proc. IEEE Int. Conf. on Digital Signal Processing (Cardiff, UK), 2007, pp. 611-614.
[26] Akhtar, M., Epps, J., and Ambikairajah, E., On DNA Numerical Representations for Period-3 Based Exon Prediction, in Proc. IEEE Workshop on Genomic Signal Processing and Statistics (Tuusula, Finland), 2007, pp. 1-4.
[25] Epps, J., and Close, B. S., A Study of Co-worker Awareness in Remote Collaboration over a Shared Application, in Proc. ACM Int. Conf. on Human Factors in Computing Systems (San Jose, CA), 2007, pp. 2363-2368.
[24] Nosratighods, M., Ambikairajah, E., Epps, J., and Carey, M., P-Value Segment Selection Technique for Speaker Verification, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc. (Hawaii, US), vol. IV, 2007, pp. 269-272.
[23] Akhtar, M., Epps, J., and Ambikairajah, E., Time and Frequency Domain Methods for Gene and Exon Prediction in Eukaryotes, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc. (Hawaii, US), vol. II, 2007, pp. 573-576.
[22] Nosratighods, M., Ambikairajah, E., and Epps, J., Speaker Verification using a Novel Set of Dynamic Features, in Proc. IEEE Int. Conf. Pattern Recognition (Hong Kong, China), 2006.
[21] Logeswaran, S., Ambikairajah, E., and Epps, J., Computational Identification of Short Initial Exons, in Proc. Workshop on Pattern Recognition in Bioinformatics (Hong Kong, China), 2006, pp. 42-48.
[20] Song, L., and Epps, J., Classifying EEG for Brain-Computer Interfaces: Learning Optimal Filters for Dynamical System Features, in Proc. Int. Conf. on Machine Learning (Pittsburgh, PA), 2006.
[19] Logeswaran, S., Ambikairajah, E., and Epps, J., A Method for Detecting Short Initial Exons, in Proc. IEEE Workshop on Genomic Signal Processing and Statistics (College Station, Texas), 2006, pp. 61-62.
[18] Epps, J., Lichman, S., and Wu, M., A Study of Hand Shape Use in Tabletop Gesture Interaction, in Proc. ACM Int. Conf. on Human Factors in Computing Systems (Montreal, Canada), 2006.
[17] Song, L., and Epps, J., Improving Separability of EEG Signals during Motor Imagery with an Efficient Circular Laplacian, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc. (Toulouse, France), vol. II, 2006, pp. 1048-1051.
[16] Allen, F., Ambikairajah, E., and Epps, J., Warped Magnitude and Phase-Based Features for Language Identification, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc. (Toulouse, France), vol. I, 2006, pp. 201-204.
[15] Allen, F., Ambikairajah, E., and Epps, J., Language Identification using the Warped Shifted Delta Cepstrum, in Proc. 7th IEEE Int. Workshop on Multimedia Sig. Proc. (Shanghai, China), 2005.
[14] Chen, F., Choi, E., Epps, J., Lichman, S., Ruiz, N., Shi, Y., Taib, R., and Wu, M., A study of manual gesture-based selection for the PEMMI multimodal transport management interface, in Proc. Int. Conf. on Multimodal Interaction (Trento, Italy), 2005, pp. 274-281.
[13] Epps, J., and Choi, E., An Energy Search Approach to Variable Frame Rate Front-End Processing for Robust ASR, in Proc. 9th European Conference on Speech Communication and Technology (EUROSPEECH), (Lisbon, Portugal), 2005, pp. 2613-2616. (corrected version)
[12] Ambikairajah, E., Epps, J., Sheng, M., Celler, B., and Chen, P., Experiences with an Electronic Whiteboard Teaching Laboratory and Tablet PC-Based Lecture Presentations, in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc. (Philadephia, PA), vol. V, 2005, pp. 565-568.
[11] Epps, J., Oviatt, S., and Chen, F., Integration of Speech and Gesture Inputs during Multimodal Interaction, in Proc Aust. Int. Conf. on Computer-Human Interaction (Wollongong, Australia), 2004. (pdf)
[10] Gunawan, T. S., Ambikairajah, E., and Epps, J., Perceptual Wavelet Packet Audio Coder, in Proc. Int. Conf. on Spoken Language Processing (Cheju, Korea), 2004, pp. 283-286.
[9] Epps, J., and Ambikairajah, E., Use of the discrete cosine transform for gene expression data analysis, in Proc. IEEE Workshop on Genomic Signal Processing and Statistics (Baltimore, Maryland), 2004. (pdf)
[8] Choi, E., Holter, T., Epps, J., and Gopalakrishnan, A., Temporal structure constrained transformation for speaker adaptation, in Proc IEEE Int. Conf. on Acoustics, Speech and Signal Processing (Hong Kong, China), vol. 1, 2003, pp. 564-567.
[7] Ambikairajah, E., Epps, J., Sheng, M., and Celler, B., Evaluation of a virtual teaching laboratory for signal processing education, in Proc IEEE Int. Conf. on Acoustics, Speech and Signal Processing (Hong Kong, China), vol. 3, 2003, pp. 757-760.
[6] Thomson, M., Boland, S., Smithers, M., Wu, M. and Epps, J., Decomposition of speech into voiced and unvoiced components based on a state-space signal model, in Proc IEEE Int. Conf. on Acoustics, Speech and Signal Processing (Hong Kong, China), vol. 1, 2003, pp. 160-163.
[5] Ambikairajah, A., Epps, J. and Lin, L., Wideband speech and audio coding using gammatone filter banks, in Proc IEEE Int. Conf. on Acoustics, Speech and Signal Processing (Salt Lake City, U.S.), 2001, pp. 773-776.
[4] Epps, J. and Holmes, W. H., A new very low bit rate wideband speech coder with a sinusoidal highband model, in Proc. IEEE Int. Symp. on Circuits and Systems (Sydney, Aust.), vol. II, 2001, pp. 349-352
[3] Epps, J. and Holmes, W. H., A new technique for wideband enhancement of narrowband speech, in Proc. IEEE Speech Coding Workshop (Porvoo, Finland), 1999, pp. 371-374.
[2] Epps, J. and Holmes, W. H., Speech enhancement using STC-based bandwidth extension, in Proc. International Conference on Spoken Language Processing (Sydney, Aust.), 1998, pp. 519-522. (pdf)
[1] Epps, J., Dowd, A., Smith, J. and Wolfe, J., Real time measurements of the vocal tract resonances during speech, in Proc. EUROSPEECH (Rhodes, Greece), 1997, vol. 2, pp. 721-724. (html)
[64] Stasak, B., Epps, J., Larsen, M., and Christensen, H., A Human Annotation Guide for Mental Health Speech Collections, in Proc. Conf. on Speech Science and Technology (Canberra, Australia), 2022.
[63] Stasak, B. and Epps, J., Read Speech Protocol Criteria for Speech-Based Health Screening Applications, to appear in Proc. Conf. on Speech Science and Technology (Canberra, Australia), 2022.
[62] Shahin, M., Epps, J., and Ahmed, B., Multi-Task Learning for Speech Attribute Detection of Children’s Speech, to appear in Proc. Conf. on Speech Science and Technology (Canberra, Australia), 2022.
[61] Stasak, B., Epps, J., and Lawson, A., Pathologic Speech and Automatic Analysis for Healthcare Applications (Batteries Not Included?), in Proc. Conf. on Speech Science and Technology (Sydney, Australia), 2018.
[60] Jayawardena, S., Epps, J., and Ambikairajah, E., Support Vector Ordinal Regression for Depression Severity Prediction, in Proc. IEEE Int. Conf. on Information and Automation for Sustainability, 2018.
[59] Wickramasinghe, B., Le, P., Ambikairajah, E., and Epps, J., Perceptual Frequency Scale-based Filters for Replay Spoofing Attack Detection, in Proc. IEEE Int. Conf. on Information and Automation for Sustainability, 2018.
[58] Konstantinou, G., and Epps, J., Facilitating Online Casual Interactions and Creating a Community of Learning in a First-Year Electrical Engineering Course, in Proc. IEEE Int. Conf. on Teaching, Assessment and Learning for Engineering, 2017.
[57] Stasak, B., Epps, J., and Cummins, N., Depression Prediction Via Acoustic Analysis of Formulaic Word Fillers, in Proc. Conf. on Speech Science and Technology (Sydney, Australia), 2016, pp. 277-280.
[56] Huang, Z., and Epps, J., Time to Embrace Emotion Change: Selecting Emotionally Salient Segments for Speech-based Emotion Prediction, in Proc. Conf. on Speech Science and Technology (Sydney, Australia), 2016, pp. 281-284.
[55] Epps, J., Sethu, V., Eaton, R., and Ambikairajah, E., High Definition Multi-View Video Guidance for Self-Directed Learning and More Effective Engineering Laboratories, in Proc. Conf. of the Australasian Association for Engineering Education (Geelong, Aust.), 2015.
[54] Ravishankar, J., Epps, J., Ladouceur, F., Eaton, R., and Ambikairajah, E., Using iPads/Tablets as a teaching tool: Strategies for an electrical engineering classroom, in Proc. IEEE Int. Conf. on Teaching, Assessment and Learning for Engineering, 2014.
[53] Allen, P., Epps, J., and Ravishankar, J., Sparking the Next Generation: Exposing, Engaging and Enrolling Students in Electrical Engineering, in Proc. IEEE Int. Conf. on Teaching, Assessment and Learning for Engineering, 2013.
[52] Huang, C. C., Epps, J., and Zhang, C., An Investigation of Automatic Phonetic-Unit Selection for Forensic Voice Comparison, in Proc. Conf. on Speech Science and Technology (Sydney, Australia), 2012.
[51] Zarjam, P., Epps, J., and Lovell, N., Characterizing Mental Load in an Arithmetic Task Using Entropy-Based Features, in Proc. IEEE Int. Symp on Sig. Proc. and its Appl. (Montreal, Canada), 2012, pp. 245-250.
[50] Alghowinem, S., Goecke, R., Wagner, M., Epps, J., Breakspear, M., and Parker, G., From Joyous to Clinically Depressed: Mood Detection Using Spontaneous Speech, in Proc. Conf. of the Florida Artificial Intelligence Research Society, (Marco Island, Florida), 2012, pp. 141-146.
[49] Yu, K., Epps, J., and Chen, F., Cognitive Load Measurement with Pen Orientation and Pressure, in Proc. Int. Conf. on Multimodal Interaction Workshop on Inferring Cognitive and Emotional States from Multimodal Measures, (Alicante, Spain), 2011.
[48] Chen, S., Epps, J., and Chen, F., A Comparison of Four Methods for Cognitive Load Measurement, in Proc. Aust. Int. Conf. on Computer-Human Interaction (Canberra, Australia), 2011.
[47] Zarjam, P., Epps, J., and Chen, F., Characterizing Working Memory Load Using EEG Delta Activity, in Proc. EUSIPCO (Barcelona, Spain), 2011, pp. 1554-1558.
[46] Zarjam, P., Epps, J., and Chen, F., Evaluation of Working Memory Load using EEG Signals, in Proc. Asia-Pacific Signal Processing Association Conf. (Singapore), 2010.
[45] Kua, J. M. K., Epps, J., Ambikairajah, E., and Nosratighods, M.,, Front-end Diversity in Fused Speaker Recognition Systems, in Proc. Asia-Pacific Signal Processing Association Conf. (Singapore), 2010.
[44] Le, P., Epps, J., Ambikairajah, E., and Sethu, V., Robust Speech-Based Cognitive Load Classification Using a Multi-band Approach, in Proc. Asia-Pacific Signal Processing Association Conf. (Singapore), 2010.
[43] Morrison, G., Thiruvaran, T., and Epps, J., An issue in the calculation of logistic-regression calibration and fusion weights for forensic voice comparison, in Proc. 13th Conf. on Speech Science and Technology (Melbourne), 2010.
[42] Yap, T. F., Ambikairajah, E., Epps, J., and Choi, E., Cognitive Load Classification Using Formant Features, in Proc. IEEE 8th Int. Symp on Sig. Proc. and its Appl. (Kuala Lumpur, Malaysia), 2010 .
[41] Burnham, D., Ambikairajah, E., Arciuli, J., Bennamoun, M., Best, C. T., Bird, S., Butcher, A. R., Cassidy, S., Chetty, G., Cox, F. M., Cutler, A., Dale, R., Epps, J. R., Fletcher, J. M., Goecke, R., Grayden, D. B., Hajek, J. T., Ingram, J. C., Ishihara, S., Kemp, N., Kinoshita, Y., Kuratate, T., Lewis, T. W., Loakes, D. E., Onslow, M., Powers, D. M., Rose, P., Togneri, R., Tran, D., and Wagner, M., A blackprint for a Comprehensive Australian English Auditory-Visual Speech Corpus, in Selected Proceedings of the 2008 HCSNet Workshop on Designing the Australian National Corpus: Mustering Languages, 2009. (pdf)
[40] Le, P., Ambikairajah, E., Choi, E., and Epps, J., A Non-Uniform Subband Approach to Speech-Based Cognitive Load Classification, in Proc. IEEE Int. Conf. on Information, Communications and Signal Processing (Macau), 2009.
[39] Thiruvaran, T., Epps, J., Ambikairajah, E., and Jones, E., An investigation of sub-band FM feature extraction in speaker recognition, in Proc. IET Irish Signals and Systems Conf. (Galway, Ireland), 2008.
[38] Akhtar, M., Ambikairajah, E., and Epps, J., Digital signal processing techniques for gene finding in eukaryotes, in Proc. IEEE Int. Conf. on Image and Signal Processing (Cherbourg-Octeville, France), 2008.
[37] Gunawan, T. S., Ambikairajah, E., and Epps, J., Higher order statistics and neural network based multi-classifier system for gene identification, in Proc. Int. Conf. on Signal Processing and Communications Systems (Gold Coast, Aust.), 2007.
[36] Ambikairajah, E., Freney, S. J., Epps, J., and Hesketh, T., Self-Directed Project Based Learning - A Case Study, in Proc. 18th Conf. of the Australasian Association for Engineering Education (Melbourne, Aust.), 2007.
[35] Akhtar, M., Ambikairajah, E., and Epps, J., Paired Comprehensive autoregressive modelling for classification of genomic sequences, in Proc. IEEE Int. Conf. on Information, Communications and Signal Processing (Singapore), 2007, pp. 1-5.
[34] Gunawan, T. S., Ambikairajah, E., and Epps, J., A signal boosting technique for gene prediction, in Proc. IEEE Int. Conf. on Information, Communications and Signal Processing (Singapore), 2007, pp. 1-4.
[33] Thiruvaran, T., Ambikairajah, E., and Epps, J., Group delay features for speaker recognition, in Proc. IEEE Int. Conf. on Information, Communications and Signal Processing (Singapore), 2007, pp. 1-5.
[32] Nosratighods, M., Ambikairajah, E., Epps, J. and Carey, M., Score weighting in speaker verification systems, in Proc. IEEE Int. Conf. on Information, Communications and Signal Processing (Singapore), 2007, pp. 1-4.
[31] Ambikairajah, E., Epps, J., Sheng, M., and Celler, B., Virtual Classroom on a DVD - Revisiting Live Lectures, in Proc. ICEIT Workshop, World Congress on Engineering and Computer Science (WCECS), (Los Angeles, CA), 2007.
[30] Akhtar, M., Epps, J., and Ambikairajah, E., Paired Spectral Content Measure for Gene and Exon Prediction in Eukaryotes, in Proc. IEEE Int. Conf. on Information and Emerging Technologies (Karachi, Pakistan), 2007, pp. 1-4.
[29] Schremmer, C., Krumm-Heller, A., Vernik, R., and Epps, J., Design Discussion of the [braccetto] Research Platform: Rapidly Composable and Adaptable Telepresence Workstations for Distributed Intensely Collaborating Teams of Teams, in Proc. 12th Int. Conf. on Human-Computer Interaction (Beijing, China), 2007, pp. 722-734.
[28] Thiruvaran, T., Ambikairajah, E., and Epps, J., Speaker Identification using FM Features, in Proc. 11th Conf. on Speech Science and Technology (Auckland, New Zealand), 2006, pp. 148-152.
[27] Nosratighods, M., Ambikairajah, E., Epps, J., and Carey, M., A Novel Technique for the Selection of Speech Segments for Speaker Verification, in Proc. 11th Conf. on Speech Science and Technology (Auckland, New Zealand), 2006, pp. 136-141.
M. Nosratighods won the ASSTA New Researcher Award 2006 with this paper.
[26] Choi, E., and Epps, J., A Novel Front-end Based on Variable Frame Rate Analysis and Mel-filterbank Output Compensation for Robust ASR, in Proc. 11th Conf. on Speech Science and Technology (Auckland, New Zealand), 2006.
[25] Ambikairajah, E., Epps, J., Hesketh, T., and Sheng, M., Factors Affecting Engineering Student Learning and Study Behaviour, in Proc. 17th Conf. of the Australasian Association for Engineering Education (Auckland, New Zealand), 2006.
[24] Mubarak, O., Ambikairajah, E., and Epps, J., Modulation Features for Speech and Music Classification, in Proc. IEEE Int. Conf. on Communications Systems (Singapore), 2006.
[23] Akhtar, M., Ambikairajah, E., and Epps, J., A Hybrid Method for the Recognition of Acceptor Sites, in Proc. IEEE Int. Conf. on Electronics, Circuits and Systems (Nice, France), December 10-13, 2006.
[22] Schremmer, C., Epps, J., and Vernik, R. Distributed Intense Collaborative Interaction - Research Challenges in eResearch, in Proc. British HCI 2006 Workshop on Combining Visualisation and Interaction to Facilitate Scientific Exploration and Discovery (London, UK), vol. 2, pp. 260-263, September 2006.
[21] Ambikairajah, E., Epps, J., Sheng, M., and Celler, B. Revisiting Live Lectures: A Shift in Paradigm ?, in Proc. IEEE 7th Int. Conf. on Information Technology Based Higher Education and Training (Sydney, Aust.), 2006, pp. 1-4.
[20] Ambikairajah, E., Epps, J., Sheng, M., and Celler, B., A New Mode of Teaching for Self-Directed Learning, in Proc. IEE Int. Conf. on Engineering Education (Liverpool, UK), 2006.
[19] Mubarak, O., Ambikairajah, E., and Epps, J., Novel Features for Effective Speech and Music Discrimination, in Proc. IEEE Int. Conf. on Engineering of Intelligent Systems (Islamabad, Pakistan), 2006, pp. 342-346.
[18] Chen, F., Close, B., Eades, P., Epps, J., Hutterer, P., Lichman, S., Takatsuka, M., Thomas, B., and Wu, M., ViCAT: Visualisation and Interaction on a Collaborative Access Table, in Proc. 1st IEEE Int. Workshop on Horizontal Interactive Human-Computer Systems (Adelaide, Aust.), 2006, pp. 59-60.
[17] Choi, E., and Epps, J., On the Use of Forward Temporal Masking and Cumulative Distribution Mapping for Noisy Speech Recognition, in Proc. IEEE Int. Region 10 Conference (TENCON) (Melbourne, Aust.), November 2005.
[16] Epps, J., A new approach to variable frame rate front-end processing for robust speech recognition, in Proc. IEEE 8th Int. Symp on Sig. Proc. and its Appl. (Sydney, Aust.), August 2005, pp. 723-726.
[15] Ambikairajah, E., and Epps, J., Gene and exon prediction using time domain algorithms, in Proc. IEEE 8th Int. Symp on Sig. Proc. and its Appl. (Sydney, Aust.), August 2005, pp. 199-202.
[14] Mubarak, O., Ambikairajah, E., and Epps, J., Analysis of an MFCC-based audio indexing system for efficient coding of multimedia sources, in Proc. IEEE 8th Int. Symp on Sig. Proc. and its Appl. (Sydney, Aust.), August 2005, pp. 619-622.
[13] Akhtar, M., Ambikairajah, E., and Epps, J., Comparison of gene and exon prediction techniques for detection of short coding regions, in Proc. Int. Conf. on Intelligent Computing (Hefei, China), August 23-26, 2005.
[12] Ambikairajah, E., Epps, J., Sheng, M., and Celler, B., Evaluation of an electronic whiteboard-based computing laboratory, in Proc. Int. Conf. on Multimedia and Inf. & Comm. Tech. in Education (Caceres, Spain), June 2005, pp. 748-751.
[11] Sheng, M., Celler, B., Ambikairajah, E., and Epps, J., Development of a virtual classroom player for self-directed learning, in Proc. Int. Conf. on Multimedia and Inf. & Comm. Tech. in Education (Caceres, Spain), June 2005, pp. 718-721.
[10] Akhtar, M., Ambikairajah, E., and Epps, J., Gene and exon prediction using time domain algorithms, in Proc. 3rd Asia-Pacific Bioinformatics Conference (Singapore), January 2005, p. 43.
[9] Epps, J., and Ambikairajah, E., Visualization of Reduced-Dimension Microarray Data using Gaussian Mixture Models, in Proc. Asia-Pacific Symposium on Information Visualisation (Sydney, Australia), January 27-29, 2005, pp. 137-142. (pdf)
[8] Gunawan, T. S., Ambikairajah, E., and Epps, J., Perceptual Wavelet Packet Coder, in Proc. Int. Conf. on Communications Systems (Singapore), 2004, pp. 235-239.
[7] Holter, T., Epps, J., Gopalakrishnan, A., and Choi, E., Affine transformations in speaker adaptation - why simpler is better, in Proc. 9th Aust. Int. Conf. on Speech Science and Tech. (Melbourne, Aust.), 2002, pp. 10-15. (pdf)
[6] Choi, E. H.C., Holter, T., Epps, J., and Gopalakrishnan, A., Exploitation of feature vector structure for speaker adaptation, in Proc. 9th Aust. Int. Conf. on Speech Science and Tech. (Melbourne, Aust.), 2002, pp. 172-177. (pdf)
[5] Thomson, M., Boland, S., Smithers, M., Wu, M. and Epps, J., Decomposition of speech into voiced and unvoiced components based on a Kalman filterbank, in Proc. 9th Aust. Int. Conf. on Speech Science and Tech. (Melbourne, Aust.), 2002, pp. 118-123.
[4] O Malley, F., Ambikairajah, E., and Epps, J., A novel approach to auditory-domain based speech processing, in Proc. Irish Signals and Systems Conf. (Cork, Ireland), 2002.
[3] Ambikairajah, E., Epps, J., and Kilmartin, L., Auditory domain-based time-frequency parameterization for speech and audio coding, in Proc. Irish Signals and Systems Conf. (Maynooth, Ireland), 2001.
[2] Ambikairajah, E., Epps, J., O Malley, F., and Kilmartin, L., Pitch and voicing estimation of speech using auditory domain time-frequency analysis, in Proc. Irish Signals and Systems Conf. (Maynooth, Ireland), 2001.
[1] Epps, J. and Holmes, W. H., Wideband speech coding at narrowband bit rates, in Proc. 8th Conf. on Speech Science and Technology (Canberra, Aust.), 2000, pp. 398-403.
Epps, J., Response to interview questions, in Chapter 13 of SIMILAR Dreams - Multimodal Interfaces in Our Future Life, Presses universitaires de Louvain, Louvain-la-Nueve, 2005, pp. 294-298, ISBN 2-930344-91-1.
Method and apparatus for estimating a spectral model of a signal used to enhance a narrowband signal, Australian Patent Number 754612, issued March 2003.
Method and apparatus for providing a speaker adapted speech recognition model set, US Patent Application Number 10/368756, filed August 2004, issued March 2008.
Automatic detection of task transition, Australian Patent Application Number PCT/AU2014/000292, filed March 2014.
Front-end processing of speech signals, Australian Patent Application Number 2005905604, filed September 2006.
Zishan Wang, MPhil
Buddhi Wickramasinghe, PhD (Joint supervisor)
Tharshini Gunendradasan, PhD (Joint supervisor)
Hang Li, PhD
Sadari Jayawardena, PhD
Brian Stasak, PhD
Malcolm Hoe Kin Wong, PhD
Zhaocheng Huang, PhD
Nicholas Cummins, PhD
Ewald Enzinger, PhD (Co-supervisor)
Kun Yu, PhD
Pega Zarjam, PhD
Chee Cheun Huang, PhD
Siyuan Chen, PhD
Jia Min Karen Kua, PhD (Joint supervisor)
Phu Ngoc Le, PhD (Joint supervisor)
Tet Fei Yap, PhD
Nguyen Xuan Vinh, PhD
Vidhyasaharan Sethu, PhD
Tharmarajah Thiruvaran, PhD (Joint supervisor)
Mahmood Akhtar, PhD (Joint supervisor)
Mohaddeseh Nosratighods, PhD (Joint supervisor)
Felipe Ochoa, ME (Co-supervisor)
Omer Mubarak, ME (Co-supervisor)
ELEC2134 Circuits and Signals - Lecturer-in-Charge (2017 - )
ENGG4060 The Maker Games - Lecturer-in-Charge, designed entire curriculum (2018 - 2019)
ELEC1111 Electrical and Telecommunications Engineering - Lecturer-in-Charge (2016)
ELEC1112 Electrical Circuits - Lecturer-in-Charge (2014 - 2015)
GSOE9400 Engineering Postgraduate Research Essentials - Guest Lecturer (2012 - 2019)
ELEC9781 Forensic Voice Comparison - Lecturer, designed 50% of curriculum (2011)
ELEC2146 Electrical Engineering Modelling and Simulation - Lecturer-in-Charge, designed entire curriculum (2009 - 2013)
ELEC9723 Speech Processing - Lecturer, resdesigned 50% of curriculum (2008)
ENGG1000 Engineering Design and Innovation - Lecturer-in-Charge (2008 - 2014)
XELT3010 Electronics (UNSW Asia) - Lecturer-in-Charge (2007)
XELT3020 Signal Processing (UNSW Asia) - Lecturer-in-Charge (2007)
ELEC9370 Digital Image Processing - Lecturer (2006)
INFO4010 Multimodal User Interaction (University of Sydney) - Lecturer-in-charge, curriculum design (2005)
SOFT3200 Software Development Project (University of Sydney) - Supervisor (2 groups) (2004)
ELEC9342 Signal Processing and Applications - Tutor and Lab Demonstrator (2002)
ELEC1011 Electrical Engineering - Invited Lecture (2001)
ELEC3004 Signal Processing and Transform Methods - Lecture (2001)
ELEC9344 Speech and Audio Processing - Selected Lectures and Lab Demonstrator (2001 - 2006)
ELEC9345 Neural Networks and Applications - Selected Lectures and design of new lab exercises (2000)
ELEC4042 Digital Signal Processing - Lab Demonstrator (1997 - 1999)
ELEC3017 Electrical Engineering Design - Lab Demonstrator (1997 - 1999)
Dean, Faculty of Engineering, UNSW Sydney (2023 - )
Head of School, School of Electrical Engineering and Telecommunications, UNSW Sydney (2019 - 2023)
Deputy Head of School (Education), School of Electrical Engineering and Telecommunications, UNSW Sydney (2017 - 2019)
Chair, EE&T Academic Executive Committee (2016 - ), Member (2008 - 2015)
Chair, EE&T Academic Quality Committee (2016 - )
Director of Academic Studies, EE&T, UNSW Sydney (2014 - 2016)
Acting Head of Signal Processing Discipline (2016)
Deputy Director of Academic Studies, EE&T, UNSW Sydney (2013 - 2014)
Associate Director of Education (UNSW), National ICT Australia (2011 - 2014)
Program Coordinator (Electrical and Telecommunications Engineering), UNSW Asia (2007)
EE&T Industrial Training Coordinator (2008 - 2013)
EE&T International Liaison (2011)
EE&T NICTA Coordinator (2009 - )
EE&T Taste of Research Coordinator (2009 - )
EE&T Scholarships Coordinator (2010 - )
EE&T School Champion, Biological Systems Engineering Research Initiative (2010 - 2011)
Chair, EE&T Alumni Committee (2011), Member (2012 - )
Chair, EE&T Postgraduate Society (2012)
Keywords: speech bandwidth expansion scalable conditional vector quantization codebook mapping EM algorithm wideband narrowband high frequency bands regeneration extension interframe intraframe GMM HMM classified artificial mobile telephone mutual information audio statistical recovery enhancement coded coding technique method voicing parametric sinusoidal transform coding low bit rate estimation spectral distortionMotorola Labs, Sydney, Aug. 2001 - Dec. 2003 - Senior Research Engineer, Speech Technology Laboratory, followed by Multimodal and Language Technology Laboratory, working mainly on speech recognition and spoken dialog systems.
Motorola Labs, Sydney, Oct. 1999 - Jan. 2000 - Postgraduate Research Intern, Speech Laboratory, working mainly on precise pitch determination for speech coding systems.
Ci Technologies, Sydney, Jan. 1997 - Jun. 1997 - Systems Engineer, working mainly on multi-platform testing of the CiTect SCADA product.
GEC Alsthom, Sydney, Jul. 1995 - Dec. 1995 - Trainee Engineer, Projects Division, working mainly on SCADA systems for remote control of hydroelectric power stations.
Alcatel Australia, Sydney, Dec. 1994 - Jun. 1995 - Trainee Engineer, working mainly on software configuration management for the System 12 Digital exchange.
Energy Australia, Sydney, Dec. 1992 - Feb. 1993 - Trainee Engineer, working on the provision and maintenance of overhead and underground power distribution networks.