| A comprehensive review of deep learning-based crack detection approaches Y Hamishebahar, H Guan, S So, J Jo Applied Sciences 12 (3), 1374, 2022 | 98 | 2022 |
| Modulation-domain Kalman filtering for single-channel speech enhancement S So, KK Paliwal Speech Communication 53, 818-829, 2011 | 81 | 2011 |
| Efficient product code vector quantisation using the switched split vector quantiser S So, KK Paliwal Digital Signal Processing 17 (1), 138-171, 2007 | 67 | 2007 |
| A comparative study of LPC parameter representations and quantisation schemes for wideband speech coding S So, KK Paliwal Digital Signal Processing 17 (1), 114-137, 2007 | 55 | 2007 |
| Suppressing the influence of additive noise on the Kalman gain for low residual noise speech enhancement S So, KK Paliwal Speech Communication 53 (3), 355-378, 2011 | 29 | 2011 |
| Single-channel speech enhancement using Kalman filtering in the modulation domain. S So, KK Wójcicki, KK Paliwal INTERSPEECH, 993-996, 2010 | 26 | 2010 |
| Efficient vector quantisation of line spectral frequencies using the switched split vector quantiser. S So, KK Paliwal INTERSPEECH, 2641-2644, 2004 | 23 | 2004 |
| Kalman filter with sensitivity tuning for improved noise reduction in speech S So, AEW George, R Ghosh, KK Paliwal Circuits, Systems, and Signal Processing 36, 1476-1492, 2017 | 22 | 2017 |
| Scalable distributed speech recognition using Gaussian mixture model-based block quantisation S So, KK Paliwal Speech communication 48 (6), 746-758, 2006 | 22 | 2006 |
| Robustness metric-based tuning of the augmented Kalman filter for the enhancement of speech corrupted with coloured noise AEW George, S So, R Ghosh, KK Paliwal Speech Communication 105, 62-76, 2018 | 20 | 2018 |
| Why is the sample variance a biased estimator? S So | 16 | 2008 |
| Multi-frame GMM-based block quantisation of line spectral frequencies for wideband speech coding S So, KK Paliwal Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005 | 16 | 2005 |
| RR-APET-Heart rate variability analysis software M McConnell, B Schwerin, S So, B Richards Computer methods and programs in biomedicine 185, 105127, 2020 | 15 | 2020 |
| Comparative evaluation of speech enhancement methods for robust automatic speech recognition KK Paliwal, JG Lyons, S So, AP Stark, KK Wójcicki 2010 4th International Conference on Signal Processing and Communication …, 2010 | 15 | 2010 |
| Reconstruction of a signal from the real part of its discrete Fourier transform [tips & tricks] S So, KK Paliwal IEEE Signal Processing Magazine 35 (2), 162-174, 2018 | 14 | 2018 |
| A non-iterative Kalman filtering algorithm with dynamic gain adjustment for single-channel speech enhancement S So, A George, R Ghosh, K Paliwal International Journal of Signal Processing Systems 4 (4), 263-268, 2016 | 13 | 2016 |
| Refined ‘Chalk-and-Talk’of Lecture Content: Teaching Signals and Systems at the Griffith School of Engineering S So 2012 Australasian Association for Engineering Education (AAEE) Annual Conference, 2012 | 13 | 2012 |
| Switched split vector quantisation of line spectral frequencies for wideband speech coding. S So, KK Paliwal INTERSPEECH, 2705-2708, 2005 | 13 | 2005 |
| Scalable distributed speech recognition using multi-frame GMM-based block quantization. KK Paliwal, S So INTERSPEECH, 617-620, 2004 | 13 | 2004 |
| A long state vector Kalman filter for speech enhancement. S So, KK Paliwal INTERSPEECH, 391-394, 2008 | 12 | 2008 |
Kuldip PaliwalProfessor (Chair, Communication and Information Engineering), Griffith University, BrisbaneVerified email at griffith.edu.au
