| The MGB challenge: Evaluating multi-genre broadcast media recognition P Bell, MJF Gales, T Hain, J Kilgour, P Lanchantin, X Liu, A McParland, ... 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015 | 184 | 2015 |
| Automatic dialect detection in arabic broadcast speech A Ali, N Dehak, P Cardinal, S Khurana, SH Yella, J Glass, P Bell, ... arXiv preprint arXiv:1509.06928, 2015 | 161 | 2015 |
| The MGB-2 challenge: Arabic multi-dialect broadcast media recognition A Ali, P Bell, J Glass, Y Messaoui, H Mubarak, S Renals, Y Zhang 2016 IEEE Spoken Language Technology Workshop (SLT), 279-284, 2016 | 102 | 2016 |
| Adaptation algorithms for neural network-based speech recognition: An overview P Bell, J Fainberg, O Klejch, J Li, S Renals, P Swietojanski IEEE Open Journal of Signal Processing 2, 33-66, 2020 | 94 | 2020 |
| Improving children's speech recognition through out-of-domain data augmentation J Fainberg, P Bell, M Lincoln, S Renals Interspeech 2016, 1598-1602, 2016 | 74 | 2016 |
| Combining in-domain and out-of-domain speech data for automatic recognition of disordered speech H Christensen, M Aniol, P Bell, P Green, T Hain, S King, P Swietojanski Proc. Interspeech 2013, 2013 | 69 | 2013 |
| Sequence-to-sequence models for punctuated transcription combining lexical and acoustic features O Klejch, P Bell, S Renals 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 68 | 2017 |
| Regularization of context-dependent deep neural networks with context-independent multi-task training P Bell, S Renals 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 61 | 2015 |
| Fusing asr outputs in joint training for speech emotion recognition Y Li, P Bell, C Lai ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 57 | 2022 |
| Multi-level adaptive networks in tandem and hybrid ASR systems P Bell, P Swietojanski, S Renals 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 54 | 2013 |
| A grapheme-based method for automatic alignment of speech and text data A Stan, P Bell, S King 2012 IEEE Spoken Language Technology Workshop (SLT), 286-290, 2012 | 48 | 2012 |
| Exploration of a self-supervised speech model: A study on emotional corpora Y Li, Y Mohamied, P Bell, C Lai 2022 IEEE Spoken Language Technology Workshop (SLT), 868-875, 2023 | 47 | 2023 |
| On learning interpretable CNNs with parametric modulated kernel-based filters E Loweimi, P Bell, S Renals Interspeech 2019, 3480-3484, 2019 | 45 | 2019 |
| Punctuated transcription of multi-genre broadcasts using acoustic and lexical approaches O Klejch, P Bell, S Renals 2016 IEEE Spoken Language Technology Workshop (SLT), 433-440, 2016 | 44 | 2016 |
| ALISA: An automatic lightly supervised speech segmentation and alignment tool A Stan, Y Mamiya, J Yamagishi, P Bell, O Watts, RAJ Clark, S King Computer Speech & Language 35, 116-133, 2016 | 41 | 2016 |
| Transcription of multi-genre media archives using out-of-domain data PJ Bell, MJF Gales, P Lanchantin, X Liu, Y Long, S Renals, ... 2012 IEEE Spoken Language Technology Workshop (SLT), 324-329, 2012 | 41 | 2012 |
| Term-dependent confidence for out-of-vocabulary term detection D Wang, S King, J Frankel, P Bell In Proc. Interspeech, 2139-2142, 2009 | 41 | 2009 |
| Unsupervised Adaptation of Recurrent Neural Network Language Models. SR Gangireddy, P Swietojanski, P Bell, S Renals Interspeech, 2333-2337, 2016 | 40 | 2016 |
| 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 | 38 | 2021 |
| Speaker adaptive training using model agnostic meta-learning O Klejch, J Fainberg, P Bell, S Renals 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019 | 38 | 2019 |
Steve RenalsUniversity of EdinburghVerified email at ed.ac.uk
