| 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 | 21 | 2021 |
| 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 |
| Learning Noise Invariant Features Through Transfer Learning For Robust End-to-End Speech Recognition S Zhang, CT Do, R Doddipatla, S Renals ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 14 | 2020 |
| Stochastic Attention Head Removal: A Simple and Effective Method for Improving Automatic Speech Recognition with Transformers S Zhang, E Loweimi, P Bell, S Renals arXiv e-prints, arXiv: 2011.04004, 2020 | 10* | 2020 |
| Trainable Dynamic Subsampling for End-to-End Speech Recognition. S Zhang, E Loweimi, Y Xu, P Bell, S Renals INTERSPEECH, 1413-1417, 2019 | 5 | 2019 |
| Selective Adaptation of End-to-End Speech Recognition using Hybrid CTC/Attention Architecture for Noise Robustness CT Do, S Zhang, T Hain 2020 28th European Signal Processing Conference (EUSIPCO), 321-325, 2021 | 2 | 2021 |
| Transformer-Based Streaming ASR with Cumulative Attention M Li, S Zhang, C Zorilă, R Doddipatla ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 1 | 2022 |
| Train your classifier first: Cascade Neural Networks Training from upper layers to lower layers S Zhang, CT Do, R Doddipatla, E Loweimi, P Bell, S Renals ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 1 | 2021 |
| Top-down training for neural networks S Zhang, CT Do, R Doddipatla, E Loweimi, P Bell, S Renals | | 2019 |
Steve RenalsUniversity of EdinburghVerified email at ed.ac.uk
