| Hypothesis spaces for minimum Bayes risk training in large vocabulary speech recognition. M Gibson, T Hain Interspeech 6, 2406-2409, 2006 | 140 | 2006 |
| Unsupervised cross-lingual speaker adaptation for HMM-based speech synthesis using two-pass decision tree construction M Gibson, T Hirsimäki, R Karhila, M Kurimo, W Byrne 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 28 | 2010 |
| Speaker adaptation and the evaluation of speaker similarity in the EMIME speech-to-speech translation project M Wester, J Dines, M Gibson, H Liang, YJ Wu, L Saheer, S King, K Oura, ... Proceedings of the 7th ISCA Speech Synthesis Workshop, 2010 | 28 | 2010 |
| Two-pass decision tree construction for unsupervised adaptation of HMM-based synthesis models M Gibson | 23 | 2009 |
| Error approximation and minimum phone error acoustic model estimation M Gibson, T Hain IEEE transactions on audio, speech, and language processing 18 (6), 1269-1279, 2009 | 22 | 2009 |
| Renal transplant artery stenosis—three cases where magnetic resonance angiography was superior to conventional arteriography M Gibson, G Cook, WMW Gedroyc The British Journal of Radiology 68 (805), 89-92, 1995 | 22 | 1995 |
| Minimum Bayes risk acoustic model estimation and adaptation M Gibson The University of Sheffield, 2008 | 20 | 2008 |
| Personalising speech-to-speech translation in the EMIME project M Kurimo, B Byrne, J Dines, PN Garner, M Gibson, Y Guan, T Hirsimäki, ... Proceedings of the ACL 2010 System Demonstrations, 48-53, 2010 | 17 | 2010 |
| The simple4all entry to the blizzard challenge 2014 A Suni, T Raitio, D Gowda, R Karhila, M Gibson, O Watts Proc. Blizzard Challenge, 2014 | 15 | 2014 |
| Unsupervised intralingual and cross-lingual speaker adaptation for HMM-based speech synthesis using two-pass decision tree construction M Gibson, W Byrne IEEE transactions on audio, speech, and language processing 19 (4), 895-904, 2010 | 15 | 2010 |
| Personalising speech-to-speech translation: Unsupervised cross-lingual speaker adaptation for HMM-based speech synthesis J Dines, H Liang, L Saheer, M Gibson, W Byrne, K Oura, K Tokuda, ... Computer Speech & Language 27 (2), 420-437, 2013 | 14 | 2013 |
| Analysis of unsupervised and noise-robust speaker-adaptive HMM-based speech synthesis systems toward a unified ASR and TTS framework J Yamagishi, M Lincoln, S King, J Dines, M Gibson, J Tian, Y Guan | 8 | 2009 |
| Application of SVM-based correctness predictions to unsupervised discriminative speaker adaptation M Gibson, T Hain 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 7 | 2012 |
| DNN online adaptation for automatic speech recognition X Li, Y Pan, M Gibson, P Zhan Konferenz Elektronische Sprachsignalverarbeitung, 46-53, 2018 | 6 | 2018 |
| Temporal masking for unsupervised minimum Bayes risk speaker adaptation. M Gibson, T Hain INTERSPEECH, 238-241, 2007 | 5 | 2007 |
| Correctness-adjusted unsupervised discriminative acoustic model adaptation M Gibson, T Hain IEEE transactions on audio, speech, and language processing 20 (10), 2648-2656, 2012 | 4 | 2012 |
| Multi-condition deep neural network training M Gibson, C Plahl, P Zhan, G Cook Konferenz Elektronische Sprachsignalverarbeitung, 77-84, 2018 | 3 | 2018 |
| Semi-supervised training strategies for deep neural networks M Gibson, G Cook, P Zhan 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 77-83, 2017 | 3 | 2017 |
| Confidence-informed unsupervised minimum Bayes risk acoustic model adaptation M Gibson, T Hain Sheffield University Department of Computer Science, Tech. Rep. CS-11-01, 2011 | 2 | 2011 |
| Unsupervised intralingual and cross-lingual speaker adaptation for HMM-based speech synthesis using two-pass decision tree construction WJ Byrne, M Gibson IEEE Transactions on Audio, Speech and Language Processing, 2010 | 2 | 2010 |
