| A robust interpretable deep learning classifier for heart anomaly detection without segmentation T Dissanayake, T Fernando, S Denman, S Sridharan, H Ghaemmaghami, ... IEEE Journal of Biomedical and Health Informatics 25 (6), 2162-2171, 2020 | 87 | 2020 |
| Heart sound segmentation using bidirectional LSTMs with attention T Fernando, H Ghaemmaghami, S Denman, S Sridharan, N Hussain, ... IEEE journal of biomedical and health informatics 24 (6), 1601-1609, 2019 | 87 | 2019 |
| Noise robust voice activity detection using features extracted from the time-domain autocorrelation function H Ghaemmaghami, B Baker, R Vogt, S Sridharan Proceedings of the 11th Annual Conference of the International Speech …, 2010 | 70 | 2010 |
| Multi-parametric analysis of snore sounds for the community screening of sleep apnea with non-gaussianity index U Abeyratne, AS Karunajeewa, H Ghaemmaghami US Patent 8,880,207, 2014 | 54* | 2014 |
| Method and system for automatically diarising a sound recording H Ghaemmaghami, S Kalantari, D Dean, S Sridharan US Patent 10,964,329, 2021 | 49 | 2021 |
| The QUT-Noise-SRE protocol for the evaluation of noisy speaker recognition D Dean, A Kanagasundaram, H Ghaemmaghami, MDH Rahman, ... Sixteenth Annual Conference of the International Speech Communication …, 2015 | 39 | 2015 |
| Normal probability testing of snore signals for diagnosis of obstructive sleep apnea H Ghaemmaghami, UR Abeyratne, C Hukins 2009 Annual International Conference of the IEEE Engineering in Medicine and …, 2009 | 39 | 2009 |
| Speaker attribution of multiple telephone conversations using a complete-linkage clustering approach H Ghaemmaghami, D Dean, R Vogt, S Sridharan 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 35 | 2012 |
| Robust and interpretable temporal convolution network for event detection in lung sound recordings T Fernando, S Sridharan, S Denman, H Ghaemmaghami, C Fookes IEEE Journal of Biomedical and Health Informatics 26 (7), 2898-2908, 2022 | 27 | 2022 |
| Extending the task of diarization to speaker attribution H Ghaemmaghami, D Dean, R Vogt, S Sridharan Proceedings of the 12th Annual Conference of the International Speech …, 2011 | 21 | 2011 |
| Complete-linkage clustering for voice activity detection in audio and visual speech H Ghaemmaghami, D Dean, S Kalantari, S Sridharan, C Fookes Sixteenth Annual Conference of the International Speech Communication …, 2015 | 20 | 2015 |
| Speaker attribution of australian broadcast news data H Ghaemmaghami, D Dean, S Sridharan Proceedings of the First Workshop on Speech, Language and Audio in …, 2013 | 20 | 2013 |
| Domain generalization in biosignal classification T Dissanayake, T Fernando, S Denman, H Ghaemmaghami, S Sridharan, ... IEEE Transactions on Biomedical Engineering 68 (6), 1978-1989, 2020 | 18 | 2020 |
| A study of speaker clustering for speaker attribution in large telephone conversation datasets H Ghaemmaghami, D Dean, S Sridharan, DA van Leeuwen Computer Speech & Language 40, 23-45, 2016 | 17 | 2016 |
| Noise robust voice activity detection using normal probability testing and time-domain histogram analysis H Ghaemmaghami, D Dean, S Sridharan, I McCowan 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 15 | 2010 |
| A cluster-voting approach for speaker diarization and linking of Australian broadcast news recordings H Ghaemmaghami, D Dean, S Sridharan IEEE International Conference on Acoustics, Speech and Signal Processing …, 2015 | 13 | 2015 |
| Understanding the importance of heart sound segmentation for heart anomaly detection T Dissanayake, T Fernando, S Denman, S Sridharan, H Ghaemmaghami, ... arXiv preprint arXiv:2005.10480, 2020 | 12 | 2020 |
| A study on the effects of using short utterance length development data in the design of GPLDA speaker verification systems A Kanagasundaram, D Dean, S Sridharan, H Ghaemmaghami, C Fookes International Journal of Speech Technology 20, 247-259, 2017 | 12 | 2017 |
| Speakers in the wild (SITW): The QUT speaker recognition system H Ghaemmaghami, MH Rahman, I Himawan, D Dean, ... International Speech Communication Association, 2016 | 12 | 2016 |
| Automatic segmentation and classification of cardiac cycles using deep learning and a wireless electronic stethoscope H Ghaemmaghami, N Hussain, K Tran, A Carey, S Hussain, F Syed, ... 2017 IEEE Life Sciences Conference (LSC), 210-213, 2017 | 11 | 2017 |
