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Conference Papers

Chen S; Epps J, 2021, 'What Does the Eye Best Tell? An Investigation of Eye Activity for Emotion, Cognitive load and Task Transition Recognition', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, IEEE, pp. 2258 - 2265, presented at 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 17 October 2021 - 20 October 2021, http://dx.doi.org/10.1109/SMC52423.2021.9659188

Stasak B; Huang Z; Joachim D; Epps J, 2021, 'Automatic elicitation compliance for short-duration speech based depression detection', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, IEEE, pp. 7283 - 7287, presented at ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 06 June 2021 - 11 June 2021, http://dx.doi.org/10.1109/ICASSP39728.2021.9414366

Wang Z; Epps J; Chen S, 2021, 'An Investigation of Automatic Saccade and Fixation Detection from Wearable Infrared Cameras', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 2250 - 2257, http://dx.doi.org/10.1109/SMC52423.2021.9658954

Ahmed B; Ballard K; Burnham D; Sirojan T; Mehmood H; Estival D; Baker E; Cox F; Arciuli J; Benders T; Demuth K; Kelly B; Diskin-Holdaway C; Shahin M; Sethu V; Epps J; Lee CB; Ambikairajah E, 2021, 'AusKidTalk: An auditory-visual corpus of 3-to 12-year-old Australian children's speech', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, ISCA, pp. 4351 - 4355, presented at Interspeech 2021, http://dx.doi.org/10.21437/Interspeech.2021-2000

Stasak B; Huang Z; Epps J; Joachim D, 2021, 'Depression Classification Using n-Gram Speech Errors from Manual and Automatic Stroop Color Test Transcripts', in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, United States, pp. 1631 - 1635, United States, http://dx.doi.org/10.1109/EMBC46164.2021.9629881

Lam C; Epps J; Chen S, 2021, 'Wearable Fatigue Detection Based on Blink-Saccade Synchronisation', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 1186 - 1191, http://dx.doi.org/10.1109/SMC52423.2021.9659006

Chen S; Epps J, 2020, 'Multimodal Event-based Task Load Estimation from Wearables', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9206605

Huang Z; Epps J; Joachim D, 2020, 'Exploiting Vocal Tract Coordination Using Dilated CNNS for Depression Detection in Naturalistic Environments', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, IEEE, pp. 6549 - 6553, presented at ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 04 May 2020 - 08 May 2020, http://dx.doi.org/10.1109/ICASSP40776.2020.9054323

Li H; Chen S; Epps J, 2020, 'Augmenting turn-taking prediction with wearable eye activity during conversation', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, ISCA, pp. 676 - 680, presented at Interspeech 2020, http://dx.doi.org/10.21437/Interspeech.2020-3204

Huang Z; Epps J; Joachim D; Stasak B; Williamson JR; Quatieri TF, 2020, 'Domain adaptation for enhancing speech-based depression detection in natural environmental conditions using dilated CNNs', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, pp. 4561 - 4565, http://dx.doi.org/10.21437/Interspeech.2020-3135

Jayawardena S; Epps J; Huang Z, 2020, 'How ordinal are your data?', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, pp. 1853 - 1857, http://dx.doi.org/10.21437/Interspeech.2020-2030

Parasu P; Epps J; Sriskandaraja K; Suthokumar G, 2020, 'Investigating light-ResNet architecture for spoofing detection under mismatched conditions', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, pp. 1111 - 1115, http://dx.doi.org/10.21437/Interspeech.2020-2039

Shahin M; Lu R; Epps J; Ahmed B, 2020, 'UNSW system description for the shared task on automatic speech recognition for non-native children's speech', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, pp. 265 - 268, http://dx.doi.org/10.21437/Interspeech.2020-3111

Shahin M; Ahmed B; Smith DV; Duenser A; Epps J, 2019, 'Automatic Screening of Children with Speech Sound Disorders Using Paralinguistic Features', in IEEE International Workshop on Machine Learning for Signal Processing, MLSP, http://dx.doi.org/10.1109/MLSP.2019.8918725

Wickramasinghe B; Ambikairajah E; Epps J, 2019, 'Biologically inspired adaptive-Q filterbanks for replay spoofing attack detection', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, Graz, Austria, pp. 2953 - 2957, presented at INTERSPEECH 2019, Graz, Austria, 15 September 2019 - 19 September 2019, http://dx.doi.org/10.21437/Interspeech.2019-1535

Latif S; Rana R; Khalifa S; Jurdak R; Epps J, 2019, 'Direct modelling of speech emotion from raw speech', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, Graz, Austria, pp. 3920 - 3924, presented at the 20th Annual Conference of the International Speech Communication Association INTERSPEECH 2019, Graz, Austria, 15 September 2019 - 19 September 2019, http://dx.doi.org/10.21437/interspeech.2019-3252

Atcheson M; Sethu V; Epps J, 2019, 'Using Gaussian Processes with LSTM Neural Networks to Predict Continuous-Time, Dimensional Emotion in Ambiguous Speech', in 2019 8th International Conference on Affective Computing and Intelligent Interaction, ACII 2019, IEEE, pp. 718 - 724, http://dx.doi.org/10.1109/ACII.2019.8925450

Li H; Chen S; Epps J, 2019, 'Wearable Facial Action Unit Classification from Near-field Infrared Eye Images using Deformable Models', in 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019, pp. 343 - 349, http://dx.doi.org/10.1109/ACIIW.2019.8925131

Wickramasinghe B; Ambikairajah E; Epps J; Sethu V; Li H, 2019, 'Auditory Inspired Spatial Differentiation for Replay Spoofing Attack Detection', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 6011 - 6015, http://dx.doi.org/10.1109/ICASSP.2019.8683693

Jayawardena S; Epps J; Ambikairajah E, 2019, 'Evaluation Measures for Depression Prediction and Affective Computing', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 6610 - 6614, http://dx.doi.org/10.1109/ICASSP.2019.8682956

Huang Z; Epps J; Joachim D, 2019, 'Speech Landmark Bigrams for Depression Detection from Naturalistic Smartphone Speech', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 5856 - 5860, http://dx.doi.org/10.1109/ICASSP.2019.8682916

Gunendradasan T; Irtza S; Ambikairajah E; Epps J, 2019, 'Transmission Line Cochlear Model Based AM-FM Features for Replay Attack Detection', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 6136 - 6140, http://dx.doi.org/10.1109/ICASSP.2019.8682771

Rana R; Gururajan R; McKenzie G; Dunn J; Gray A; Zhou X; Barua PD; Epps J; Humphris GM, 2019, 'A Novel Framework for Distress Detection through an Automated Speech Processing System', in Proceedings - 2018 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2018, pp. 610 - 614, http://dx.doi.org/10.1109/WI.2018.00-29

Gunendradasan T; Ambikairajah E; Epps J; Li H, 2019, 'An adaptive-Q cochlear model for replay spoofing detection', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, pp. 2918 - 2922, http://dx.doi.org/10.21437/Interspeech.2019-2361

Wickramasinghe B; Ambikairajah E; Le PN; Epps J, 2018, 'Perceptual Frequency Scale-based Filters for Replay Spoofing Attack Detection', in 2018 IEEE 9th International Conference on Information and Automation for Sustainability, ICIAfS 2018, http://dx.doi.org/10.1109/ICIAFS.2018.8913356

Jayawardena S; Epps J; Ambikairajah E, 2018, 'Support Vector Ordinal Regression for Depression Severity Prediction', in 2018 IEEE 9th International Conference on Information and Automation for Sustainability, ICIAfS 2018, http://dx.doi.org/10.1109/ICIAFS.2018.8913383

Gamage KW; Dang T; Sethu V; Epps J; Ambikairajah E, 2018, '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 AVEC 2018 - Proceedings of the 2018 Audio/Visual Emotion Challenge and Workshop, co-located with MM 2018, pp. 47 - 55, http://dx.doi.org/10.1145/3266302.3266314

Stasak B; Epps J; Lawson A, 2018, 'Analysis of phonetic markedness and gestural effort measures for acoustic speech-based depression classification', in 2017 7th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2017, pp. 165 - 170, http://dx.doi.org/10.1109/ACIIW.2017.8272608

Stasak B; Epps J, 2018, 'Differential performance of automatic speech-based depression classification across smartphones', in 2017 7th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2017, pp. 171 - 175, http://dx.doi.org/10.1109/ACIIW.2017.8272609

Atcheson M; Sethu V; Epps J, 2018, 'Demonstrating and modelling systematic time-varying annotator disagreement in continuous emotion annotation', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, pp. 3668 - 3672, http://dx.doi.org/10.21437/Interspeech.2018-1933

Huang Z; Epps J; Joachim D; Chen M, 2018, 'Depression detection from short utterances via diverse smartphones in natural environmental conditions', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, pp. 3393 - 3397, http://dx.doi.org/10.21437/Interspeech.2018-1743

Gunendradasan T; Wickramasinghe B; Le PN; Ambikairajah E; Epps J, 2018, 'Detection of replay-spoofing attacks using frequency modulation features', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, pp. 636 - 640, http://dx.doi.org/10.21437/Interspeech.2018-1473

Wickramasinghe B; Irtza S; Ambikairajah E; Epps J, 2018, 'Frequency domain linear prediction features for replay spoofing attack detection', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, pp. 661 - 665, http://dx.doi.org/10.21437/Interspeech.2018-1574

Latif S; Rana R; Younis S; Qadir J; Epps J, 2018, 'Transfer learning for improving speech emotion classification accuracy', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, pp. 257 - 261, http://dx.doi.org/10.21437/Interspeech.2018-1625

Latif S; Rana R; Qadir J; Epps J, 2018, 'Variational autoencoders to learn latent representations of speech emotion', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, pp. 3107 - 3111, http://dx.doi.org/10.21437/Interspeech.2018-1568

Dang T; Atcheson M; Stasak B; Hayat M; Goecke R; Huang Z; Le P; Epps J; Jayawardena S; Sethu V, 2017, 'Investigating word affect features and fusion of probabilistic predictions incorporating uncertainty in AVEC 2017', in AVEC 2017 - Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge, co-located with MM 2017, Mountain View, California, USA, pp. 27 - 35, presented at 7th Annual Workshop on Audio/Visual Emotion Challenge, Mountain View, California, USA, 23 October 2017 - 23 October 2017, http://dx.doi.org/10.1145/3133944.3133952

Stasak B; Epps J; Goecke R, 2017, 'Elicitation design for acoustic depression classification: An investigation of articulation effort, linguistic complexity, and word affect', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, Stockholm, Sweden, pp. 834 - 838, presented at INTERSPEECH 2017, Stockholm, Sweden, 20 August 2017 - 24 August 2017, http://dx.doi.org/10.21437/Interspeech.2017-1223

Chen S; Epps J; Ambikairajah E; Le PN, 2017, 'An investigation of crowd speech for room occupancy estimation', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, Stockholm, Sweden, pp. 324 - 328, presented at INTERSPEECH 2017, Stockholm, Sweden, 20 August 2017 - 24 August 2017, http://dx.doi.org/10.21437/Interspeech.2017-70

Huang Z; Epps J, 2017, 'An investigation of emotion dynamics and kalman filtering for speech-based emotion prediction', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, Stockholm, Sweden, pp. 3301 - 3305, presented at INTERSPEECH 2017, Stockholm, Sweden, 20 August 2017 - 24 August 2017, http://dx.doi.org/10.21437/Interspeech.2017-1707

Dang T; Sethu V; Epps J; Ambikairajah E, 2017, 'An investigation of emotion prediction uncertainty using Gaussian Mixture Regression', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, Stockholm, Sweden, pp. 1248 - 1252, presented at INTERSPEECH 2017, Stockholm, Sweden, 20 August 2017 - 24 August 2017, http://dx.doi.org/10.21437/Interspeech.2017-512

Fernando S; Sethu V; Ambikairajah E; Epps J, 2017, 'Bidirectional modelling for short duration language identification', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, Stockholm, Sweden, pp. 2809 - 2813, presented at INTERSPEECH 2017, Stockholm, Sweden, 20 August 2017 - 24 August 2017, http://dx.doi.org/10.21437/Interspeech.2017-286

Konstantinou G; Epps J, 2017, 'Facilitating online casual interactions and creating a community of learning in a first-year electrical engineering course', in Proceedings of 2017 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2017, pp. 128 - 133, http://dx.doi.org/10.1109/TALE.2017.8252317

Huang Z; Epps J, 2017, 'A PLLR and multi-stage Staircase Regression framework for speech-based emotion prediction', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, New Orleans, LA, USA, pp. 5145 - 5149, presented at 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, USA, 05 March 2017 - 09 March 2017, http://dx.doi.org/10.1109/ICASSP.2017.7953137

Stasak B; Epps J, 2016, 'Depression Prediction Via Acoustic Analysis of Formulaic Word Fillers', in Proceedings of the Sixteenth Australasian International Conference on Speech Science and Technology, 16th Speech Science and Technology Conference (SST2016), Sydney, Australia, pp. 277 - 280, presented at 16th Speech Science and Technology Conference (SST2016), Sydney, Australia, 06 December 2016 - 09 December 2016

Huang Z; Epps J, 2016, 'Time to Embrace Emotion Change: Selecting Emotionally Salient Segments for Speech-based Emotion Prediction', in Proceedings of 16th Australasian International Conference on Speech Science and Technology, 16th Speech Science and Technology Conference (SST2016), Sydney, Australia, pp. 1 - 3, presented at 16th Speech Science and Technology Conference (SST2016), Sydney, Australia, 06 December 2016 - 09 December 2016, https://www.researchgate.net/publication/311518605_Time_to_Embrace_Emotion_Change_Selecting_Emotionally_Salient_Segments_for_Speech-based_Emotion_Prediction

Huang Z; Stasak B; Dang T; Gamage KW; Le P; Sethu V; Epps J, 2016, 'Staircase regression in OA RVM, data selection and gender dependency in AVEC 2016', in AVEC 2016 - Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge, co-located with ACM Multimedia 2016, ASSOC COMPUTING MACHINERY, Amsterdam, NETHERLANDS, pp. 19 - 26, presented at 6th International Workshop on Audio-Visual Emotion Recognition Challenge - Depression, Mood, and Emotion (AVEC), Amsterdam, NETHERLANDS, 16 October 2016 - 16 October 2016, http://dx.doi.org/10.1145/2988257.2988265

Stasak B; Epps J; Cummins N; Goecke R, 2016, 'An investigation of emotional speech in depression classification', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, San Francisco, Ca, USA, pp. 485 - 489, presented at 2016 Annual Conference of the International Speech Communication Association, INTERSPEECH, San Francisco, Ca, USA, 08 September 2016 - 12 September 2016, http://dx.doi.org/10.21437/Interspeech.2016-867

Shahin M; Epps J; Ahmed B, 2016, 'Automatic classification of lexical stress in English and Arabic languages using deep learning', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, San Francisco CA, USA, pp. 175 - 179, presented at Interspeech 2016, San Francisco CA, USA, 08 September 2016 - 12 September 2016, http://dx.doi.org/10.21437/Interspeech.2016-644

Alghowinem S; Goecke R; Epps J; Wagner M; Cohn J, 2016, 'Cross-cultural depression recognition from vocal biomarkers', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, San Francisco, CA, USA, pp. 1943 - 1947, presented at Interspeech 2016, San Francisco, CA, USA, 08 September 2016 - 12 September 2016, http://dx.doi.org/10.21437/Interspeech.2016-1339

Huang Z; Epps J, 2016, 'Detecting the instant of emotion change from speech using a martingale framework', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 5195 - 5199, http://dx.doi.org/10.1109/ICASSP.2016.7472668


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