| Convolutional neural networks for distant speech recognition P Swietojanski, A Ghoshal, S Renals Signal Processing Letters 21 (9), 1120-1124, 2014 | 264 | 2014 |
| LEARNING HIDDEN UNIT CONTRIBUTIONS FOR UNSUPERVISED SPEAKER ADAPTATION OF NEURAL NETWORK ACOUSTIC MODELS P Swietojanski, S Renals IEEE SLT, 2014 | 259 | 2014 |
| Multilingual training of Deep-Neural networks A Ghoshal, P Swietojanski, S Renals Proceedings of the IEEE International Conference on Acoustics, Speech and …, 2013 | 250 | 2013 |
| Multi-task self-supervised learning for robust speech recognition M Ravanelli, J Zhong, S Pascual, P Swietojanski, J Monteiro, J Trmal, ... ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 206 | 2020 |
| A study of speaker adaptation for DNN-based speech synthesis Z Wu, P Swietojanski, C Veaux, S Renals, S King Proc. Interspeech, 2015 | 161 | 2015 |
| Unsupervised cross-lingual knowledge transfer in DNN-based LVCSR P Swietojanski, A Ghoshal, S Renals 2012 IEEE Spoken Language Technology Workshop (SLT), 246-251, 2012 | 158 | 2012 |
| Learning hidden unit contributions for unsupervised acoustic model adaptation P Swietojanski, J Li, S Renals IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (8), 1450 …, 2016 | 123 | 2016 |
| Hybrid acoustic models for distant and multichannel large vocabulary speech recognition P Swietojanski, A Ghoshal, S Renals In Proc. ASRU, 2013 | 123 | 2013 |
| Benchmarking natural language understanding services for building conversational agents X Liu, A Eshghi, P Swietojanski, V Rieser arXiv preprint arXiv:1903.05566, 2019 | 112 | 2019 |
| Machine learning for predicting properties of porous media from 2d X-ray images N Alqahtani, F Alzubaidi, RT Armstrong, P Swietojanski, P Mostaghimi Journal of Petroleum Science and Engineering 184, 106514, 2020 | 90 | 2020 |
| Combining in-domain and out-of-domain speech data for automatic recognition of disordered speech H Christensen, MB Aniol, P Bell, P Green, T Hain, S King, P Swietojanski In Proc. Interspeech, 2013 | 56 | 2013 |
| Revisiting Hybrid and GMM-HMM system combination techniques P Swietojanski, A Ghoshal, S Renals Proceedings of the IEEE International Conference on Acoustics, Speech and …, 2013 | 54 | 2013 |
| Investigation of Maxout Networks for Speech Recognition P Swietojanski, J Li, JT Huang Proceedings of the IEEE International Conference on Acoustics, Speech and …, 2014 | 53 | 2014 |
| NEURAL NETWORKS FOR DISTANT SPEECH RECOGNITION S Renals, P Swietojanski In Proc. HCSMA, 2014 | 52 | 2014 |
| Multi-level adaptive networks in tandem and hybrid ASR systems P Bell, P Swietojanski, S Renals Proceedings of the IEEE International Conference on Acoustics, Speech and …, 2013 | 52 | 2013 |
| SLURP: A spoken language understanding resource package E Bastianelli, A Vanzo, P Swietojanski, V Rieser arXiv preprint arXiv:2011.13205, 2020 | 49 | 2020 |
| Benchmarking natural language understanding services for building conversational agents X Liu, A Eshghi, P Swietojanski, V Rieser Increasing Naturalness and Flexibility in Spoken Dialogue Interaction: 10th …, 2021 | 48 | 2021 |
| Digital rock segmentation for petrophysical analysis with reduced user bias using convolutional neural networks Y Niu, P Mostaghimi, M Shabaninejad, P Swietojanski, RT Armstrong Water Resources Research, e2019WR026597, 2020 | 45 | 2020 |
| Automated lithology classification from drill core images using convolutional neural networks F Alzubaidi, P Mostaghimi, P Swietojanski, SR Clark, RT Armstrong Journal of Petroleum Science and Engineering 197, 107933, 2021 | 44 | 2021 |
| 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 | 43 | 2020 |
Steve RenalsUniversity of EdinburghVerified email at ed.ac.uk
