| An investigation of annotation delay compensation and output-associative fusion for multimodal continuous emotion prediction Z Huang, T Dang, N Cummins, B Stasak, P Le, V Sethu, J Epps Proceedings of the 5th International Workshop on Audio/Visual Emotion …, 2015 | 87 | 2015 |
| Investigating word affect features and fusion of probabilistic predictions incorporating uncertainty in AVEC 2017 T Dang, B Stasak, Z Huang, S Jayawardena, M Atcheson, M Hayat, P Le, ... Proceedings of the 7th annual workshop on audio/visual emotion challenge, 27-35, 2017 | 52 | 2017 |
| An Investigation of Emotional Speech in Depression Classification. B Stasak, J Epps, N Cummins, R Goecke Interspeech, 485-489, 2016 | 48 | 2016 |
| Automatic detection of COVID-19 based on short-duration acoustic smartphone speech analysis B Stasak, Z Huang, S Razavi, D Joachim, J Epps Journal of Healthcare Informatics Research 5, 201-217, 2021 | 37 | 2021 |
| Staircase regression in OA RVM, data selection and gender dependency in AVEC 2016 Z Huang, B Stasak, T Dang, K Wataraka Gamage, P Le, V Sethu, J Epps Proceedings of the 6th International Workshop on Audio/Visual Emotion …, 2016 | 36 | 2016 |
| Elicitation Design for Acoustic Depression Classification: An Investigation of Articulation Effort, Linguistic Complexity, and Word Affect. B Stasak, J Epps, R Goecke INTERSPEECH 17, 834-838, 2017 | 31 | 2017 |
| An investigation of linguistic stress and articulatory vowel characteristics for automatic depression classification B Stasak, J Epps, R Goecke Computer Speech & Language 53, 140-155, 2019 | 30 | 2019 |
| Automatic depression classification based on affective read sentences: Opportunities for text-dependent analysis B Stasak, J Epps, R Goecke Speech Communication 115, 1-14, 2019 | 26 | 2019 |
| Domain Adaptation for Enhancing Speech-Based Depression Detection in Natural Environmental Conditions Using Dilated CNNs. Z Huang, J Epps, D Joachim, B Stasak, JR Williamson, TF Quatieri INTERSPEECH, 4561-4565, 2020 | 21 | 2020 |
| Differential performance of automatic speech-based depression classification across smartphones B Stasak, J Epps 2017 Seventh International Conference on Affective Computing and Intelligent …, 2017 | 13 | 2017 |
| Depression prediction via acoustic analysis of formulaic word fillers B Stasak, J Epps, N Cummins Australasian International Conference on Speech Science and Technology, 277-280, 2016 | 10 | 2016 |
| Read speech voice quality and disfluency in individuals with recent suicidal ideation or suicide attempt B Stasak, J Epps, HT Schatten, IW Miller, EM Provost, MF Armey Speech Communication 132, 10-20, 2021 | 9 | 2021 |
| Analysis of phonetic markedness and gestural effort measures for acoustic speech-based depression classification B Stasak, J Epps, A Lawson 2017 Seventh International Conference on Affective Computing and Intelligent …, 2017 | 9 | 2017 |
| An investigation of acoustic, linguistic, and affect based methods for speech depression assessment B Stasak UNSW Sydney, 2018 | 5 | 2018 |
| Breaking age barriers with automatic voice-based depression detection B Stasak, D Joachim, J Epps IEEE Pervasive Computing 21 (2), 10-19, 2022 | 4 | 2022 |
| Automatic elicitation compliance for short-duration speech based depression detection B Stasak, Z Huang, D Joachim, J Epps ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 4 | 2021 |
| Pathologic speech and automatic analysis for healthcare applications (batteries not included?) B Stasak, J Epps, A Lawson 17th Speech Science and Technology Conference (SST 2018). Sydney, NSW, 2018 | 2 | 2018 |
| Depression Classification Using n-Gram Speech Errors from Manual and Automatic Stroop Color Test Transcripts B Stasak, Z Huang, J Epps, D Joachim 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 1 | 2021 |
| Read speech protocol criteria for speech-based health screening applications B Stasak, J Epps Proc. SST, 2022 | | 2022 |
| A Human Annotation Guide for Mental Health Speech Collections B Stasak, J Epps, M Larsen, H Christensen | | |
