| 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 | 178 | 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 | 138 | 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 | 86 | 2016 |
| 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 | 64 | 2017 |
| 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 | 61 | 2020 |
| Improving Children's Speech Recognition Through Out-of-Domain Data Augmentation. J Fainberg, P Bell, M Lincoln, S Renals Interspeech, 1598-1602, 2016 | 61 | 2016 |
| Combining in-domain and out-of-domain speech data for automatic recognition of disordered speech. H Christensen, MB Aniol, P Bell, PD Green, T Hain, S King, ... Interspeech, 3642-3645, 2013 | 61 | 2013 |
| 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 | 60 | 2015 |
| 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 |
| On Learning Interpretable CNNs with Parametric Modulated Kernel-Based Filters. E Loweimi, P Bell, S Renals Interspeech, 3480-3484, 2019 | 41 | 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 | 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 |
| 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 | 39 | 2016 |
| Unsupervised Adaptation of Recurrent Neural Network Language Models. SR Gangireddy, P Swietojanski, P Bell, S Renals Interspeech, 2333-2337, 2016 | 36 | 2016 |
| Multitask learning of context-dependent targets in deep neural network acoustic models P Bell, P Swietojanski, S Renals IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (2), 238-247, 2016 | 35 | 2016 |
| Structured output layer with auxiliary targets for context-dependent acoustic modelling P Swietojanski, P Bell, S Renals Sixteenth Annual Conference of the International Speech Communication …, 2015 | 32 | 2015 |
| Automatic transcription of multi-genre media archives P Lanchantin, P Bell, M Gales, T Hain, X Liu, Y Long, J Quinnell, S Renals, ... SLAM 2013 Speech, Language and Audio in Multimedia: Proceedings of the First …, 2013 | 31 | 2013 |
| Learning to adapt: a meta-learning approach for speaker adaptation O Klejch, J Fainberg, P Bell arXiv preprint arXiv:1808.10239, 2018 | 30 | 2018 |
| A lecture transcription system combining neural network acoustic and language models. P Bell, H Yamamoto, P Swietojanski, Y Wu, F McInnes, C Hori, S Renals Interspeech, 3087-3091, 2013 | 30 | 2013 |
Steve RenalsUniversity of EdinburghVerified email at ed.ac.uk
