| Learning temporal clusters using capsule routing for speech emotion recognition MA Jalal, E Loweimi, RK Moore, T Hain Proc. Interspeech 2019, 1701-1705, 2019 | 89 | 2019 |
| On the usefulness of self-attention for automatic speech recognition with transformers S Zhang, E Loweimi, P Bell, S Renals 2021 IEEE Spoken Language Technology Workshop (SLT), 89-96, 2021 | 58 | 2021 |
| On Learning Interpretable CNNs with Parametric Modulated Kernel-Based Filters E Loweimi, P Bell, S Renals Proc. Interspeech 2019, 3480-3484, 2019 | 50 | 2019 |
| A new phase-based feature representation for robust speech recognition E Loweimi, SM Ahadi, T Drugman 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 42 | 2013 |
| Acoustic modelling from raw source and filter components for dysarthric speech recognition Z Yue, E Loweimi, H Christensen, J Barker, Z Cvetkovic IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 2968-2980, 2022 | 41 | 2022 |
| Multi-modal acoustic-articulatory feature fusion for dysarthric speech recognition Z Yue, E Loweimi, Z Cvetkovic, H Christensen, J Barker ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 34 | 2022 |
| On the Importance of Pre-emphasis and Window Shape in Phase-based Speech Recognition E Loweimi, SM Ahadi, T Drugman, S Loveymi International Conference on Nonlinear Speech Processing, 160-167, 2013 | 26 | 2013 |
| Raw source and filter modelling for dysarthric speech recognition Z Yue, E Loweimi, Z Cvetkovic ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 25 | 2022 |
| Windowed attention mechanisms for speech recognition S Zhang, E Loweimi, P Bell, S Renals ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 23 | 2019 |
| Source-filter Separation of Speech Signal in the Phase Domain E Loweimi, JP Barker, T Hain Proc. Interspeech 2015, 2015 | 23 | 2015 |
| Acoustic model adaptation from raw waveforms with SincNet J Fainberg, O Klejch, E Loweimi, P Bell, S Renals 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019 | 22 | 2019 |
| RCT: Random consistency training for semi-supervised sound event detection N Shao, E Loweimi, X Li Proc. Interspeech 2022, 1541-1545, 2022 | 21 | 2022 |
| A new group delay-based feature for robust speech recognition E Loweimi, SM Ahadi 2011 IEEE International Conference on Multimedia and Expo, 1-5, 2011 | 21 | 2011 |
| Dysarthric Speech Recognition From Raw Waveform with Parametric CNNs Z Yue, E Loweimi, H Christensen, J Barker, Z Cvetkovic Proc. Interspeech 2022, 2022 | 18 | 2022 |
| Speech acoustic modelling from raw phase spectrum E Loweimi, Z Cvetkovic, P Bell, S Renals ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 17 | 2021 |
| Stochastic Attention Head Removal: A Simple and Effective Method for Improving Transformer Based ASR Models S Zhang, E Loweimi, P Bell, S Renals Proc. Interspeech 2021, 2541-2545, 2021 | 17 | 2021 |
| Statistical Normalisation of Phase-based Feature Representation For Robust Speech Recognition E Loweimi, JP Barker, T Hain ICASSP, 2017 | 17 | 2017 |
| Robust Phase-based Speech Signal Processing; From Source-Filter Separation to Model-Based Robust ASR E Loweimi The University of Sheffield, 2018 | 16 | 2018 |
| Phase-Only Speech Reconstruction Using Very Short Frames E Loweimi, SM Ahadi, H Sheikhzadeh Proc. Interspeech 2011, 2501-2504, 2011 | 16 | 2011 |
| On the Robustness and Training Dynamics of Raw Waveform Models E Loweimi, P Bell, S Renals Proc. Interspeech 2020, 1001-1005, 2020 | 15 | 2020 |
Steve RenalsUniversity of EdinburghVerified email at ed.ac.uk
