| Toward robust audio spoofing detection: A detailed comparison of traditional and learned features BT Balamurali, KE Lin, S Lui, JM Chen, D Herremans IEEE Access 7, 84229-84241, 2019 | 100 | 2019 |
| Empathetic speech synthesis and testing for healthcare robots J James, BT Balamurali, CI Watson, B MacDonald International Journal of Social Robotics 13 (8), 2119-2137, 2021 | 62 | 2021 |
| Singing voice separation using a deep convolutional neural network trained by ideal binary mask and cross entropy KWE Lin, BT Balamurali, E Koh, S Lui, D Herremans Neural Computing and Applications 32 (4), 1037-1050, 2020 | 51 | 2020 |
| Development of machine learning for asthmatic and healthy voluntary cough sounds: a proof of concept study HI Hee, BT Balamurali, A Karunakaran, D Herremans, OH Teoh, KP Lee, ... Applied Sciences 9 (14), 2833, 2019 | 48 | 2019 |
| Regression-based music emotion prediction using triplet neural networks KW Cheuk, YJ Luo, BT Balamurali, G Roig, D Herremans 2020 international joint conference on neural networks (IJCNN), 1-7, 2020 | 39 | 2020 |
| Deep neural network-based respiratory pathology classification using cough sounds BT Balamurali, HI Hee, S Kapoor, OH Teoh, SS Teng, KP Lee, ... Sensors 21 (16), 5555, 2021 | 35 | 2021 |
| Determination of likelihood ratios for forensic voice comparison using principal component analysis B Nair, E Alzqhoul, BJ Guillemin The International Journal of Speech, Language and the Law 21 (1), 83-112, 2014 | 26 | 2014 |
| Alzheimer’s dementia speech (audio vs. text): Multi-modal machine learning at high vs. low resolution P Priyadarshinee, CJ Clarke, J Melechovsky, CMY Lin, B BT, JM Chen Applied Sciences 13 (7), 4244, 2023 | 25 | 2023 |
| Acoustic effect of face mask design and material choice BT Balamurali, T Enyi, CJ Clarke, SY Harn, JM Chen Acoustics Australia 49 (3), 505-512, 2021 | 24 | 2021 |
| Asthmatic versus healthy child classification based on cough and vocalised/ɑ:/sounds B BT, HI Hee, OH Teoh, KP Lee, S Kapoor, D Herremans, JM Chen The Journal of the Acoustical Society of America 148 (3), EL253-EL259, 2020 | 24 | 2020 |
| Development and validation of a deep learning system for sound-based prediction of urinary flow HJ Lee, EJ Aslim, BT Balamurali, LYS Ng, TLC Kuo, CMY Lin, CJ Clarke, ... European Urology Focus 9 (1), 209-215, 2023 | 20 | 2023 |
| Performance assessment of chatgpt versus bard in detecting alzheimer’s dementia B Bt, JM Chen Diagnostics 14 (8), 817, 2024 | 19 | 2024 |
| Hydrodynamic object identification with artificial neural models S Lakkam, BT Balamurali, R Bouffanais Scientific reports 9 (1), 11242, 2019 | 19 | 2019 |
| Attendaffectnet: Self-attention based networks for predicting affective responses from movies HTP Thao, BT Balamurali, D Herremans, G Roig 2020 25th International Conference on Pattern Recognition (ICPR), 8719-8726, 2021 | 18 | 2021 |
| Attendaffectnet–emotion prediction of movie viewers using multimodal fusion with self-attention HTP Thao, BT Balamurali, G Roig, D Herremans Sensors 21 (24), 8356, 2021 | 16 | 2021 |
| Impact of dynamic rate coding aspects of mobile phone networks on forensic voice comparison EAS Alzqhoul, BBT Nair, BJ Guillemin Science & Justice 55 (5), 363-374, 2015 | 15 | 2015 |
| Comparison between speech parameters for forensic voice comparison using mobile phone speech EAS Alzqhoul, BBT Nair, BJ Guillemin The 15th Australasian International Conference on Speech Science & Technology, 2014 | 13 | 2014 |
| Speech handling mechanisms of mobile phone networks and their potential impact on forensic voice analysis EA Alzqhoul, BB Nair, BJ Guillemin Proc. SST-12, 2012 | 13 | 2012 |
| Pilot study for the comparison of machine-learning augmented audio-uroflowmetry with standard uroflowmetry in healthy men EJ Aslim, BT Balamurali, YSL Ng, TLC Kuo, KS Lim, JS Chen, JM Chen, ... BMJ Innovations 6 (4), 2020 | 11 | 2020 |
| Comparison between Mel-frequency and complex cepstral coefficients for forensic voice comparison using a likelihood ratio framework BBT Nair, EAS Alzqhoul, BJ Guillemin Proceedings of the World Congress on Engineering and Computer Science, San …, 2014 | 10 | 2014 |
