| 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 | 99 | 2015 |
| Exploiting Vocal Tract Coordination Using Dilated CNNs For Depression Detection In Naturalistic Environments Z Huang, J Epps, D Joachim ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 76 | 2020 |
| Depression Detection from Short Utterances via Diverse Smartphones in Natural Environmental Conditions Z Huang, J Epps, D Joachim, M Chen INTERSPEECH, 3393-3397, 2018 | 64 | 2018 |
| 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 | 61 | 2017 |
| Investigation of Speech Landmark Patterns for Depression Detection Z Huang, J Epps, D Joachim IEEE Transactions on Affective Computing, 1-14, 2019 | 57 | 2019 |
| 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 (2), 201-217, 2021 | 50 | 2021 |
| Natural language processing methods for acoustic and landmark event-based features in speech-based depression detection Z Huang, J Epps, D Joachim, V Sethu IEEE Journal of selected topics in Signal Processing 14 (2), 435-448, 2019 | 49 | 2019 |
| Representation learning through cross-modal conditional teacher-student training for speech emotion recognition S Srinivasan, Z Huang, K Kirchhoff ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 47 | 2022 |
| 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 | 40 | 2016 |
| 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 | 36 | 2020 |
| Speech landmark bigrams for depression detection from naturalistic smartphone speech Z Huang, J Epps, D Joachim ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 36 | 2019 |
| An investigation of partition-based and phonetically-aware acoustic features for continuous emotion prediction from speech Z Huang, J Epps IEEE Transactions on Affective Computing, 1-16, 2018 | 28 | 2018 |
| An investigation of emotion change detection from speech. Z Huang, J Epps, E Ambikairajah INTERSPEECH 2015, 1329-1333, 2015 | 25 | 2015 |
| Speechverse: A large-scale generalizable audio language model N Das, S Dingliwal, S Ronanki, R Paturi, Z Huang, P Mathur, J Yuan, ... arXiv preprint arXiv:2405.08295, 2024 | 23 | 2024 |
| Detecting the instant of emotion change from speech using a martingale framework Z Huang, J Epps 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 21 | 2016 |
| A PLLR and multi-stage staircase regression framework for speech-based emotion prediction Z Huang, J Epps 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 17 | 2017 |
| An Investigation of Emotion Dynamics and Kalman Filtering for Speech-Based Emotion Prediction. Z Huang, J Epps INTERSPEECH, 3301-3305, 2017 | 11 | 2017 |
| Prediction of Emotion Change from Speech Z Huang, J Epps Frontiers in ICT 5, 11, 2018 | 8 | 2018 |
| 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 | 5 | 2021 |
| An investigation of emotion changes from speech Z Huang 2015 International Conference on Affective Computing and Intelligent …, 2015 | 5 | 2015 |
Julien EppsProfessor, The University of New South WalesBestätigte E-Mail-Adresse bei unsw.edu.au
