J. Epps

发表

The I4U system in NIST 2008 speaker recognition evaluation

Rong Tong, Bin Ma, Haizhou Li, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Extraction of FM components from speech signals using all-pole model

E. Ambikairajah, J. Epps, T. Thiruvaran, 2008 .

Using Task-Induced Pupil Diameter and Blink Rate to Infer Cognitive Load

Siyuan Chen, Julien Epps, J. Epps, 2014, Hum. Comput. Interact..

Information theoretic measures for clusterings comparison: is a correction for chance necessary?

James Bailey, Xuan Vinh Nguyen, Julien Epps, 2009, ICML '09.

Classifying EEG for brain-computer interfaces: learning optimal filters for dynamical system features

Le Song, Julien Epps, J. Epps, 2006, ICML 2006.

Efficient and Robust Pupil Size and Blink Estimation From Near-Field Video Sequences for Human–Machine Interaction

Siyuan Chen, Julien Epps, J. Epps, 2014, IEEE Transactions on Cybernetics.

Perceptual speech enhancement exploiting temporal masking properties of human auditory system

Eliathamby Ambikairajah, Julien Epps, Teddy Surya Gunawan, 2010, Speech Commun..

A New Mode of Lecturing for Self‐Directed Learning—Virtual Classroom on a DVD

Eliathamby Ambikairajah, Julien Epps, Branko G. Celler, 2008, WCE 2008.

Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance

James Bailey, Xuan Vinh Nguyen, Julien Epps, 2010, J. Mach. Learn. Res..

Voice source under cognitive load: Effects and classification

Eliathamby Ambikairajah, Julien Epps, Eric H. C. Choi, 2015, Speech Commun..

Variational Autoencoders to Learn Latent Representations of Speech Emotion

J. Epps, Junaid Qadir, S. Latif, 2018 .

Speaker verification using sparse representation classification

E. Ambikairajah, J. Epps, R. Togneri, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Evaluation of Working Memory Load using EEG Signals

J. Epps, P. Zarjam, Fang Chen, 2010 .

Fast approximate computation of non-uniform DFTs for biological sequence analysis

J. Epps, 2009 .

Robust Sounds of Activities of Daily Living Classification in Two-Channel Audio-Based Telemonitoring

Eliathamby Ambikairajah, Julien Epps, Branko Celler, 2013, International journal of telemedicine and applications.

Cognitive Load Evaluation with Pen Orientation and Pressure

Kun Yu, Julien Epps, Fang Chen, 2011 .

A Novel Technique for the Selection of Speech Segments for Speaker Verification

E. Ambikairajah, M. Nosratighods, J. Epps, 2006 .

DECOMPOSITION OF SPEECH INTO VOICED AND UNVOICED COMPONENTS BASED ON A KALMAN FILTERBANK

J. Epps, M. Thomson, S. Boland, 2002 .

Summary of Linkage Infrastructure, Equipment and Facilities Proposals by State and Organisation

Takaaki Kuratate, Anne Cutler, Mohammed Bennamoun, 2010 .

AFFINE TRANSFORMATIONS IN SPEAKER ADAPTATION – WHY SIMPLER IS BETTER

J. Epps, E. Choi, T. Holter, 2002 .

Building an Audio-Visual Corpus of Australian English: Large Corpus Collection with an Economical Portable and Replicable Black Box

Dominique Estival, Roberto Togneri, Michael Wagner, 2011, INTERSPEECH.

2013 IEEE International Workshop on Information Forensics and Security, WIFS 2013, Guangzhou, China, November 18-21, 2013

Paolo Bestagini, Stefano Tubaro, Arun Ross, 2013, WIFS.

Odyssey 2010: The Speaker and Language Recognition Workshop, Brno, Czech Republic, June 28 - July 1, 2010

Haizhou Li, Paavo Alku, Joachim Köhler, 2010, Odyssey.

High Definition MultiView Video Guidance for Self-Directed Learning and More Effective Engineering Laboratories

E. Ambikairajah, J. Epps, V. Sethu, 2015 .

Speaker- and Age-Invariant Training for Child Acoustic Modeling Using Adversarial Multi-Task Learning

J. Epps, M. Shahin, Beena Ahmed, 2022, 2210.10231.

Speaker- and Age-Invariant Training for Child Acoustic Modeling Using Adversarial Multi-Task Learning

J. Epps, M. Shahin, Beena Ahmed, 2022, ArXiv.

Wearable Fatigue Detection Based on Blink-Saccade Synchronisation

J. Epps, Siyuan Chen, Colin Lam, 2021, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

i-Vector with sparse representation classification for speaker verification

E. Ambikairajah, J. Epps, J. Kua, 2013, Speech Commun..

Cross-Cultural Depression Recognition from Vocal Biomarkers

Michael Wagner, Roland Göcke, Julien Epps, 2016, INTERSPEECH.

The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing

Björn W. Schuller, Carlos Busso, Johan Sundberg, 2016, IEEE Transactions on Affective Computing.

From Joyous to Clinically Depressed: Mood Detection Using Spontaneous Speech

Michael Wagner, Roland Göcke, Michael Breakspear, 2012, FLAIRS.

Voice source features for cognitive load classification

Eliathamby Ambikairajah, Julien Epps, Eric H. C. Choi, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Formant Frequencies under Cognitive Load: Effects and Classification

Eliathamby Ambikairajah, Julien Epps, Eric H. C. Choi, 2011, EURASIP J. Adv. Signal Process..

Analysis of acoustic space variability in speech affected by depression

Vidhyasaharan Sethu, Nicholas Cummins, Julien Epps, 2015, Speech Commun..

A review of depression and suicide risk assessment using speech analysis

Thomas F. Quatieri, Stefan Scherer, Nicholas Cummins, 2015, Speech Commun..

Relevance vector machine for depression prediction

Vidhyasaharan Sethu, Nicholas Cummins, Julien Epps, 2015, INTERSPEECH.

Detecting depression: A comparison between spontaneous and read speech

Michael Wagner, Roland Göcke, Michael Breakspear, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

An Investigation of Emotional Speech in Depression Classification

Roland Göcke, Nicholas Cummins, Julien Epps, 2016, INTERSPEECH.

A comparison of single-stage and two-stage modelling approaches for automatic forensic speaker recognition

Eliathamby Ambikairajah, Julien Epps, Tharmarajah Thiruvaran, 2013, 2013 IEEE 8th International Conference on Industrial and Information Systems.

An Investigation of Depressed Speech Detection: Features and Normalization

Roland Göcke, Michael Breakspear, Nicholas Cummins, 2011, INTERSPEECH.

Computational Identification of Short Initial Exons

Eliathamby Ambikairajah, Julien Epps, Sayanthan Logeswaran, 2006, PRIB.

A method for detecting short initial exons

E. Ambikairajah, J. Epps, E. Ambikairajah, 2006, 2006 IEEE International Workshop on Genomic Signal Processing and Statistics.

Statistical methods for detecting periodic fragments in DNA sequence data

Julien Epps, Hua Ying, Gavin A Huttley, 2011, Biology Direct.

Digital Signal Processing Techniques for Gene Finding in Eukaryotes

Mahmood Akhtar, Eliathamby Ambikairajah, Julien Epps, 2008, ICISP.

Signal Processing in Sequence Analysis: Advances in Eukaryotic Gene Prediction

Mahmood Akhtar, Eliathamby Ambikairajah, Julien Epps, 2008, IEEE Journal of Selected Topics in Signal Processing.

Optimizing period-3 methods for eukaryotic gene prediction

Mahmood Akhtar, Eliathamby Ambikairajah, Julien Epps, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Comprehensive autoregressive modeling for classification of genomic sequences

E. Ambikairajah, M. Akhtar, J. Epps, 2007, 2007 6th International Conference on Information, Communications & Signal Processing.

Paired Spectral Content Measure for Gene and Exon Prediction in Eukaryotes

E. Ambikairajah, J. Epps, M. Akhtar, 2007, 2007 International Conference on Information and Emerging Technologies.

GMM-Based Classification of Genomic Sequences

E. Ambikairajah, J. Epps, M. Akhtar, 2007, 2007 15th International Conference on Digital Signal Processing.

On DNA Numerical Representations for Period-3 Based Exon Prediction

E. Ambikairajah, M. Akhtar, J. Epps, 2007, 2007 IEEE International Workshop on Genomic Signal Processing and Statistics.

Time and Frequency Domain Methods for Gene and Exon Prediction in Eukaryotes

Mahmood Akhtar, Eliathamby Ambikairajah, Julien Epps, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

A Hybrid Method for the Recognition of Acceptor Splice Sites

Julien Epps, Eliathamby Ambikairajah, Mahmood Akhtar, 2006, 2006 13th IEEE International Conference on Electronics, Circuits and Systems.

Speech Based Emotion Recognition

Vidhyasaharan Sethu, Julien Epps, Eliathamby Ambikairajah, 2015 .

Diagnosis of depression by behavioural signals: a multimodal approach

Roland Göcke, Vidhyasaharan Sethu, Nicholas Cummins, 2013, AVEC@ACM Multimedia.

Modeling spectral variability for the classification of depressed speech

Roland Göcke, Michael Breakspear, Vidhyasaharan Sethu, 2013, INTERSPEECH.

Novel Features for Effective Speech and Music Discrimination

E. Ambikairajah, J. Epps, O.M. Mubarak, 2006, 2006 IEEE International Conference on Engineering of Intelligent Systems.

An Investigation of Annotation Delay Compensation and Output-Associative Fusion for Multimodal Continuous Emotion Prediction

Ting Dang, Vidhyasaharan Sethu, Zhaocheng Huang, 2015, AVEC@ACM Multimedia.

Pitch contour parameterisation based on linear stylisation for emotion recognition

Vidhyasaharan Sethu, Eliathamby Ambikairajah, Julien Epps, 2009, INTERSPEECH.

A blueprint for a comprehensive Australian English auditory-visual speech corpus

Takaaki Kuratate, Anne Cutler, Mohammed Bennamoun, 2009 .

Phonetic and speaker variations in automatic emotion classification

Vidhyasaharan Sethu, Eliathamby Ambikairajah, Julien Epps, 2008, INTERSPEECH.

Group delay features for emotion detection

Vidhyasaharan Sethu, Eliathamby Ambikairajah, Julien Epps, 2007, INTERSPEECH.

Warped Magnitude and Phase-Based Features for Language Identification

Eliathamby Ambikairajah, Julien Epps, Felicity Allen, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Language Identification using Warping and the Shifted Delta Cepstrum

Eliathamby Ambikairajah, Julien Epps, Felicity Allen, 2005, 2005 IEEE 7th Workshop on Multimedia Signal Processing.

Automatic Detection of COVID-19 Based on Short-Duration Acoustic Smartphone Speech Analysis

J. Epps, Brian Stasak, Zhaocheng Huang, 2021, Journal of Healthcare Informatics Research.

Experiences with an electronic whiteboard teaching laboratory and tablet PC based lecture presentations [DSP courses]

Eliathamby Ambikairajah, Julien Epps, Branko G. Celler, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

A comparison of four methods for cognitive load measurement

Siyuan Chen, Fang Chen, Julien Epps, 2011, OZCHI.

Generalized Two-Stage Rank Regression Framework for Depression Score Prediction from Speech

James R. Williamson, Vidhyasaharan Sethu, Nicholas Cummins, 2020, IEEE Transactions on Affective Computing.

Beyond Subjective Self-Rating: EEG Signal Classification of Cognitive Workload

Nigel H. Lovell, Julien Epps, Pega Zarjam, 2015, IEEE Transactions on Autonomous Mental Development.

An investigation of linguistic stress and articulatory vowel characteristics for automatic depression classification

Roland Göcke, Julien Epps, Brian Stasak, 2019, Comput. Speech Lang..

Speech Landmark Bigrams for Depression Detection from Naturalistic Smartphone Speech

Zhaocheng Huang, Julien Epps, Dale Joachim, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Characterizing mental load in an arithmetic task using entropy-based features

Nigel H. Lovell, Julien Epps, Pega Zarjam, 2012, 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA).

Teaching Signal Processing Through Frequent and Diverse Design: A Pedagogical Approach

Elias Aboutanios, David S. Taubman, Vidhyasaharan Sethu, 2021, IEEE Signal Processing Magazine.

Automatic depression classification based on affective read sentences: Opportunities for text-dependent analysis

Brian Stasak, Roland Goecke, Julien Epps, 2019, Speech Commun..

A comparative study of different classifiers for detecting depression from spontaneous speech

Tamás D. Gedeon, Michael Wagner, Roland Göcke, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Speaker variability in speech based emotion models - Analysis and normalisation

Vidhyasaharan Sethu, Eliathamby Ambikairajah, Julien Epps, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Multimodal Coordination Measures to Understand Users and Tasks

Siyuan Chen, Julien Epps, J. Epps, 2020, ACM Trans. Comput. Hum. Interact..

Wideband Extension of Narrowband Speech for Enhancement and Coding

Julien Epps, J. Epps, 2000 .

A study of manual gesture-based selection for the PEMMI multimodal transport management interface

Fang Chen, Mike Wu, Julien Epps, 2005, ICMI '05.

AusKidTalk: An Auditory-Visual Corpus of 3- to 12-Year-Old Australian Children's Speech

K. Demuth, E. Ambikairajah, J. Epps, 2021, Interspeech.

Evaluation Measures for Depression Prediction and Affective Computing

Eliathamby Ambikairajah, Julien Epps, Sadari Jayawardena, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Pupillometric and blink measures of diverse task loads: Implications for working memory models.

F. Paas, J. Epps, Siyuan Chen, 2022, The British journal of educational psychology.

A Novel Framework for Distress Detection through an Automated Speech Processing System

Rajib Rana, Xujuan Zhou, Julien Epps, 2018, 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI).

Think before you speak: An investigation of eye activity patterns during conversations using eyewear

Hang Li, Julien Epps, Siyuan Chen, 2020, Int. J. Hum. Comput. Stud..

Eyelid and Pupil Landmark Detection and Blink Estimation Based on Deformable Shape Models for Near-Field Infrared Video

Julien Epps, Siyuan Chen, J. Epps, 2019, Front. ICT.

Atomic Head Movement Analysis for Wearable Four-Dimensional Task Load Recognition

Siyuan Chen, Julien Epps, J. Epps, 2019, IEEE Journal of Biomedical and Health Informatics.

Automatic Task Analysis: Toward Wearable Behaviometrics

Julien Epps, Siyuan Chen, J. Epps, 2018, IEEE Systems, Man, and Cybernetics Magazine.

Blinking: Toward Wearable Computing that Understands your Current Task

Siyuan Chen, Julien Epps, J. Epps, 2013, IEEE Pervasive Computing.

Mental Workload Classification via Online Writing Features

Fang Chen, Kun Yu, Julien Epps, 2013, 2013 12th International Conference on Document Analysis and Recognition.

Automatic and continuous user task analysis via eye activity

Siyuan Chen, Fang Chen, Julien Epps, 2013, IUI '13.

Measuring Cognitive Workload with Low-Cost Electroencephalograph

Yang Wang, Fang Chen, Jie Xu, 2011, INTERACT.

Cognitive load evaluation of handwriting using stroke-level features

Fang Chen, Kun Yu, Julien Epps, 2011, IUI '11.

Eye activity as a measure of human mental effort in HCI

Siyuan Chen, Fang Chen, Julien Epps, 2011, IUI '11.

Multimodal Depression Detection: Fusion Analysis of Paralinguistic, Head Pose and Eye Gaze Behaviors

Michael Wagner, Michael Breakspear, Julien Epps, 2018, IEEE Transactions on Affective Computing.

Investigating Word Affect Features and Fusion of Probabilistic Predictions Incorporating Uncertainty in AVEC 2017

Roland Göcke, Ting Dang, Vidhyasaharan Sethu, 2017, AVEC@ACM Multimedia.

Multimodal assistive technologies for depression diagnosis and monitoring

Michael Wagner, Roland Göcke, Michael Breakspear, 2013, Journal on Multimodal User Interfaces.

The Ambiguous World of Emotion Representation pdf

Shrikanth Narayanan, Carlos Busso, Shrikanth S. Narayanan, 2019, ArXiv.

The Use of Spectral Information in the Development of Novel Techniques for Speech- Based Cognitive Load Classification

Julien Epps, Eric H. C. Choi, J. Epps, 2012 .

Ordinal Logistic Regression With Partial Proportional Odds for Depression Prediction

E. Ambikairajah, J. Epps, Sadari Jayawardena, 2023, IEEE Transactions on Affective Computing.

The INTERSPEECH 2014 computational paralinguistics challenge: cognitive & physical load

Fabien Ringeval, Erik Marchi, Björn W. Schuller, 2014, INTERSPEECH.

Read speech voice quality and disfluency in individuals with recent suicidal ideation or suicide attempt

Emily Mower Provost, Julien Epps, Brian Stasak, 2021, Speech Commun..

Spectro-temporal analysis of speech affected by depression and psychomotor retardation

Eliathamby Ambikairajah, Nicholas Cummins, Julien Epps, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Multimodal behavior and interaction as indicators of cognitive load

Yang Wang, Fang Chen, Julien Epps, 2012, TIIS.

The use of technology in Suicide Prevention

Tjeerd W. Boonstra, Nicholas Cummins, Julien Epps, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Transfer Learning for Improving Speech Emotion Classification Accuracy

Rajib Rana, Julien Epps, Siddique Latif, 2018, INTERSPEECH.

Direct Modelling of Speech Emotion from Raw Speech pdf

Rajib Rana, Julien Epps, Siddique Latif, 2019, INTERSPEECH.

Wearable Facial Action Unit Classification from Near-field Infrared Eye Images using Deformable Models

Hang Li, Siyuan Chen, Julien Epps, 2019, 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW).

Multimodal assessment of depression from behavioral signals

Stefan Scherer, Julien Epps, Roland Goecke, 2018, The Handbook of Multimodal-Multisensor Interfaces, Volume 2.

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

Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah, 2018, AVEC@MM.

A Comparison of Methods for Mitigating Within-Task Luminance Change for Eyewear-Based Cognitive Load Measurement

Julien Epps, Hoe Kin Wong, Siyuan Chen, 2020, IEEE Transactions on Cognitive and Developmental Systems.

Pupillary transient responses to within-task cognitive load variation

Julien Epps, Hoe Kin Wong, J. Epps, 2016, Comput. Methods Programs Biomed..

Estimating cognitive workload using wavelet entropy-based features during an arithmetic task

Nigel H. Lovell, Fang Chen, Julien Epps, 2013, Comput. Biol. Medicine.

Automatic classification of eye activity for cognitive load measurement with emotion interference

Siyuan Chen, Julien Epps, J. Epps, 2013, Comput. Methods Programs Biomed..

minCEntropy: A Novel Information Theoretic Approach for the Generation of Alternative Clusterings

Xuan Vinh Nguyen, Julien Epps, J. Epps, 2010, 2010 IEEE International Conference on Data Mining.

A Novel Approach for Automatic Number of Clusters Detection in Microarray Data Based on Consensus Clustering

Xuan Vinh Nguyen, Julien Epps, J. Epps, 2009, 2009 Ninth IEEE International Conference on Bioinformatics and BioEngineering.

Speaker variability in emotion recognition - an adaptation based approach

Vidhyasaharan Sethu, Eliathamby Ambikairajah, Julien Epps, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Speaker Normalisation for Speech-Based Emotion Detection

E. Ambikairajah, V. Sethu, J. Epps, 2007, 2007 15th International Conference on Digital Signal Processing.

Characterizing working memory load using EEG delta activity

Fang Chen, Julien Epps, Pega Zarjam, 2011, 2011 19th European Signal Processing Conference.

Integration of Speech and Gesture Inputs during Multimodal Interaction

Julien Epps, Fang Chen, Sharon Oviatt, 2004 .

A new very low bit rate wideband speech coder with a sinusoidal highband model

Julien Epps, W. Harvey Holmes, W. Holmes, 2001, ISCAS 2001. The 2001 IEEE International Symposium on Circuits and Systems (Cat. No.01CH37196).

Using Gaussian Processes with LSTM Neural Networks to Predict Continuous-Time, Dimensional Emotion in Ambiguous Speech

Vidhyasaharan Sethu, Julien Epps, Mia Atcheson, 2019, 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII).

Demonstrating and Modelling Systematic Time-varying Annotator Disagreement in Continuous Emotion Annotation

Vidhyasaharan Sethu, Julien Epps, Mia Atcheson, 2018, INTERSPEECH.

An Investigation of Emotion Prediction Uncertainty Using Gaussian Mixture Regression

Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah, 2017, INTERSPEECH.

Classifying EEG for Brain-Computer Interface: Learning Optimal Filters for Dynamical System Features

Le Song, Julien Epps, J. Epps, 2006, ICML.

Improving Separability of Eeg Signals During Motor Imagery With An Efficient Circular Laplacian

Le Song, Julien Epps, J. Epps, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Elicitation Design for Acoustic Depression Classification: An Investigation of Articulation Effort, Linguistic Complexity, and Word Affect

Roland Göcke, Julien Epps, Brian Stasak, 2017, INTERSPEECH.

Characterization of memory load in an arithmetic task using non-linear analysis of EEG signals

Nigel H. Lovell, Fang Chen, Julien Epps, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Classification of Working Memory Load Using Wavelet Complexity Features of EEG Signals

Nigel H. Lovell, Fang Chen, Julien Epps, 2012, ICONIP.

The Big Australian Speech Corpus (The Big ASC)

Dominique Estival, Takaaki Kuratate, Anne Cutler, 2010 .

Domain Adaptation for Enhancing Speech-Based Depression Detection in Natural Environmental Conditions Using Dilated CNNs

Thomas F. Quatieri, James R. Williamson, Zhaocheng Huang, 2020, INTERSPEECH.

Analysis of an MFCC-based audio indexing system for efficient coding of multimedia sources

Eliathamby Ambikairajah, Julien Epps, Omer Mohsin Mubarak, 2005, Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005..

Weighted pairwise Gaussian likelihood regression for depression score prediction

Vidhyasaharan Sethu, Nicholas Cummins, Julien Epps, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An integer period DFT for biological sequence processing

E. Ambikairajah, M. Akhtar, J. Epps, 2008, 2008 IEEE International Workshop on Genomic Signal Processing and Statistics.

Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion pdf

Rajib Rana, Julien Epps, Siddique Latif, 2019, ArXiv.

Gaussian Process Regression for Continuous Emotion Recognition with Global Temporal Invariance

Vidhyasaharan Sethu, Julien Epps, Mia Atcheson, 2017, AffComp@IJCAI.

An Investigation of Partition-Based and Phonetically-Aware Acoustic Features for Continuous Emotion Prediction from Speech

Zhaocheng Huang, Julien Epps, J. Epps, 2020, IEEE Transactions on Affective Computing.

A PLLR and multi-stage Staircase Regression framework for speech-based emotion prediction

Zhaocheng Huang, Julien Epps, J. Epps, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Bidirectional Modelling for Short Duration Language Identification

Vidhyasaharan Sethu, Eliathamby Ambikairajah, Julien Epps, 2017, INTERSPEECH.

Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion Recognition

Björn Schuller, J. Epps, R. Jurdak, 2019, IEEE Transactions on Affective Computing.

Natural Language Processing Methods for Acoustic and Landmark Event-Based Features in Speech-Based Depression Detection

Vidhyasaharan Sethu, Zhaocheng Huang, Julien Epps, 2020, IEEE Journal of Selected Topics in Signal Processing.

Breaking Age Barriers With Automatic Voice-Based Depression Detection

J. Epps, Brian Stasak, Dale Joachim, 2022, IEEE pervasive computing.

Automatic Elicitation Compliance for Short-Duration Speech Based Depression Detection

Julien Epps, Brian Stasak, Dale Joachim, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Variability compensation in small data: Oversampled extraction of i-vectors for the classification of depressed speech

Vidhyasaharan Sethu, Nicholas Cummins, Julien Epps, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Spectral EEG featuresfor evaluating cognitive load

Fang Chen, Julien Epps, Pega Zarjam, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A Study of Voice Source and Vocal Tract Filter Based Features in Cognitive Load Classification

Eliathamby Ambikairajah, Julien Epps, Eric H. C. Choi, 2010, 2010 20th International Conference on Pattern Recognition.

Investigation of Spectral Centroid Magnitude and Frequency for Speaker Recognition

Eliathamby Ambikairajah, Julien Epps, Tharmarajah Thiruvaran, 2010, Odyssey.

What Does The Eye Best Tell? An Investigation of Eye Activity for Emotion, Cognitive load and Task Transition Recognition

Julien Epps, Siyuan Chen, J. Epps, 2021, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

A segment selection technique for speaker verification

Eliathamby Ambikairajah, Julien Epps, Michael J. Carey, 2010, Speech Commun..

A new technique for wideband enhancement of coded narrowband speech

Julien Epps, W. H. Holmes, W. Holmes, 1999, 1999 IEEE Workshop on Speech Coding Proceedings. Model, Coders, and Error Criteria (Cat. No.99EX351).

Visualisation of Reduced-Dimension Microarray Data Using Gaussian Mixture Models

Eliathamby Ambikairajah, Julien Epps, E. Ambikairajah, 2005, APVIS.

USE OF THE DISCRETE COSINE TRANSFORM FOR GENE EXPRESSION DATA ANALYSIS

Eliathamby Ambikairajah, Julien Epps, E. Ambikairajah, 2004 .

Investigation of spectral centroid features for cognitive load classification

Vidhyasaharan Sethu, Eliathamby Ambikairajah, Julien Epps, 2011, Speech Commun..

An Investigation of Automatic Saccade and Fixation Detection from Wearable Infrared Cameras

Julien Epps, Siyuan Chen, Zishan Wang, 2021, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

A comparison of periodicity profile methods for sequence analysis

Julien Epps, Gavin A. Huttley, Manas Bellani, 2012, Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Task Load Estimation from Multimodal Head-Worn Sensors Using Event Sequence Features

Siyuan Chen, Julien Epps, J. Epps, 2021, IEEE Transactions on Affective Computing.

Depression Classification Using n-Gram Speech Errors from Manual and Automatic Stroop Color Test Transcripts

J. Epps, Brian Stasak, Dale Joachim, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Speaker Verification Using A Novel Set of Dynamic Features

Eliathamby Ambikairajah, Julien Epps, Mohaddeseh Nosratighods, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Variational Autoencoders for Learning Latent Representations of Speech Emotion pdf

Rajib Rana, Julien Epps, Siddique Latif, 2017, INTERSPEECH.

Separate MAP adaptation of GMM parameters for forensic voice comparison on limited data

Julien Epps, Ewald Enzinger, Chee Cheun Huang, 2013, 2013 IEEE International Workshop on Information Forensics and Security (WIFS).

Estimating the Precision of the Likelihood-Ratio Output of a Forensic-Voice-Comparison System

Julien Epps, Tharmarajah Thiruvaran, Geoffrey Stewart Morrison, 2010, Odyssey.

A novel instrument to measure acoustic resonances of the vocal tract during phonation

Julien Epps, John R. Lindsay Smith, Joe Wolfe, 1997 .

A flipped mode teaching approach for large and advanced electrical engineering courses

Eliathamby Ambikairajah, Julien Epps, Jayashri Ravishankar, 2018 .

Front-end Diversity in Fused Speaker Recognition Systems

Eliathamby Ambikairajah, Julien Epps, Karen J. M. Kua, 2010 .