| Deep learning for minimum mean-square error approaches to speech enhancement A Nicolson, KK Paliwal Speech Communication 111, 44-55, 2019 | 130 | 2019 |
| DeepMMSE: A deep learning approach to MMSE-based noise power spectral density estimation Q Zhang, A Nicolson, M Wang, KK Paliwal, C Wang IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 1404-1415, 2020 | 122 | 2020 |
| Masked multi-head self-attention for causal speech enhancement A Nicolson, KK Paliwal Speech Communication 125, 80-96, 2020 | 72 | 2020 |
| Deep residual-dense lattice network for speech enhancement M Nikzad, A Nicolson, Y Gao, J Zhou, KK Paliwal, F Shang Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8552-8559, 2020 | 35 | 2020 |
| Improving chest X-ray report generation by leveraging warm starting A Nicolson, J Dowling, B Koopman Artificial intelligence in medicine 144, 102633, 2023 | 33 | 2023 |
| A Deep Learning-Based Kalman Filter for Speech Enhancement. SK Roy, A Nicolson, KK Paliwal INTERSPEECH, 2692-2696, 2020 | 21 | 2020 |
| Time-frequency attention for monaural speech enhancement Q Zhang, Q Song, Z Ni, A Nicolson, H Li ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 20 | 2022 |
| DeepLPC: A deep learning approach to augmented Kalman filter-based single-channel speech enhancement SK Roy, A Nicolson, KK Paliwal IEEE Access 9, 64524-64538, 2021 | 20 | 2021 |
| A time-frequency attention module for neural speech enhancement Q Zhang, X Qian, Z Ni, A Nicolson, E Ambikairajah, H Li IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 462-475, 2022 | 18 | 2022 |
| Deep Xi as a front-end for robust automatic speech recognition A Nicolson, KK Paliwal 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering …, 2020 | 17 | 2020 |
| DeepLPC-MHANet: Multi-head self-attention for augmented Kalman filter-based speech enhancement SK Roy, A Nicolson, KK Paliwal IEEE Access 9, 70516-70530, 2021 | 16 | 2021 |
| Temporal convolutional network with frequency dimension adaptive attention for speech enhancement Q Zhang, Q Song, A Nicolson, T Lan, H Li Proc. Interspeech 2021, 166-170, 2021 | 16 | 2021 |
| Deep learning with augmented Kalman filter for single-channel speech enhancement SK Roy, A Nicolson, KK Paliwal 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020 | 15 | 2020 |
| Spectral subband centroids for robust speaker identification using marginalization-based missing feature theory A Nicolson, J Hanson, J Lyons, K Paliwal International Journal of Signal Processing Systems 6 (1), 12-16, 2018 | 12 | 2018 |
| Monaural speech enhancement using a multi-branch temporal convolutional network Q Zhang, A Nicolson, M Wang, KK Paliwal, C Wang arXiv preprint arXiv:1912.12023, 2019 | 9 | 2019 |
| Automated COVID-19 diagnosis and prognosis with medical imaging and who is publishing: a systematic review AG Gillman, F Lunardo, J Prinable, G Belous, A Nicolson, H Min, ... Physical and engineering sciences in medicine, 1-17, 2021 | 8 | 2021 |
| On training targets for deep learning approaches to clean speech magnitude spectrum estimation A Nicolson, KK Paliwal The Journal of the Acoustical Society of America 149 (5), 3273-3293, 2021 | 8 | 2021 |
| AEHRC CSIRO at ImageCLEFmed Caption 2021 A Nicolson, J Dowling, B Koopman CLEF2021 Working Notes, CEUR Workshop Proceedings, CEUR-WS. org, Bucharest …, 2021 | 8 | 2021 |
| Sum-product networks for robust automatic speaker identification A Nicolson, KK Paliwal INTERSPEECH, 1516-1520, 2020 | 7 | 2020 |
| Bidirectional Long-Short Term Memory Network-based Estimation of Reliable Spectral Component Locations. A Nicolson, KK Paliwal INTERSPEECH, 1606-1610, 2018 | 7 | 2018 |
Kuldip PaliwalProfessor (Chair, Communication and Information Engineering), Griffith University, BrisbaneVerified email at griffith.edu.au
