| Learning temporal clusters using capsule routing for speech emotion recognition MA Jalal, E Loweimi, RK Moore, T Hain Proc. Interspeech 2019, 1701-1705, 2019 | 52 | 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 | 35 | 2013 |
| On Learning Interpretable CNNs with Parametric Modulated Kernel-Based Filters E Loweimi, P Bell, S Renals Proc. Interspeech 2019, 3480-3484, 2019 | 31 | 2019 |
| Source-filter Separation of Speech Signal in the Phase Domain E Loweimi, JP Barker, T Hain Proc. Interspeech 2015, 2015 | 21 | 2015 |
| 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 | 19 | 2013 |
| 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 | 18 | 2021 |
| 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 | 18 | 2011 |
| 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 | 17 | 2019 |
| Objective evaluation of magnitude and phase only spectrum-based reconstruction of the speech signal E Loveimi, SM Ahadi 2010 4th International Symposium on Communications, Control and Signal …, 2010 | 15 | 2010 |
| 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 | 14 | 2019 |
| Robust Phase-based Speech Signal Processing; From Source-Filter Separation to Model-Based Robust ASR E Loweimi The University of Sheffield, 2018 | 13 | 2018 |
| Phase-Only Speech Reconstruction Using Very Short Frames E Loweimi, SM Ahadi, H Sheikhzadeh Proc. Interspeech 2011, 2501-2504, 2011 | 13 | 2011 |
| Robust Source-Filter Separation of Speech Signal in the Phase Domain E Loweimi, J Barker, O Saz, T Hain Proc. Interspeech 2017, 2017 | 12 | 2017 |
| Objective evaluation of phase and magnitude only reconstructed speech: New considerations E Loveimi, SM Ahadi 10th International Conference on Information Science, Signal Processing and …, 2010 | 12 | 2010 |
| On the Robustness and Training Dynamics of Raw Waveform Models E Loweimi, P Bell, S Renals Proc. Interspeech 2020, 1001-1005, 2020 | 10 | 2020 |
| Statistical Normalisation of Phase-based Feature Representation For Robust Speech Recognition E Loweimi, JP Barker, T Hain ICASSP, 2017 | 10 | 2017 |
| Long-term Statistical Feature Extraction from Speech Signal and its Application in Emotion Recognition E Loweimi, M Doulaty, J Barker, T Hain Statistical Language and Speech Processing, SLSP 2015, 2015 | 10 | 2015 |
| 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 | 9 | 2021 |
| 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 | 8 | 2021 |
| On the importance of phase and magnitude spectra in speech enhancement E Loweimi, SM Ahadi, S Loveymi 2011 19th Iranian Conference on Electrical Engineering, 1-6, 2011 | 8 | 2011 |
Steve RenalsUniversity of EdinburghVerified email at ed.ac.uk
