| Support vector machines for speaker verification and identification V Wan, WM Campbell Neural Networks for Signal Processing X. Proceedings of the 2000 IEEE Signal …, 2000 | 414 | 2000 |
| Speaker verification using sequence discriminant support vector machines V Wan, S Renals IEEE transactions on speech and audio processing 13 (2), 203-210, 2005 | 302 | 2005 |
| Speech and crosstalk detection in multichannel audio SN Wrigley, GJ Brown, V Wan, S Renals IEEE Transactions on speech and audio processing 13 (1), 84-91, 2004 | 151 | 2004 |
| The AMI system for the transcription of speech in meetings T Hain, L Burget, J Dines, G Garau, V Wan, M Karafiat, J Vepa, M Lincoln 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 147 | 2007 |
| Transcribing meetings with the AMIDA systems T Hain, L Burget, J Dines, PN Garner, F Grézl, A El Hannani, M Huijbregts, ... IEEE Transactions on Audio, Speech, and Language Processing 20 (2), 486-498, 2011 | 130 | 2011 |
| Expressive visual text-to-speech using active appearance models R Anderson, B Stenger, V Wan, R Cipolla Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 105 | 2013 |
| Evaluation of kernel methods for speaker verification and identification V Wan, S Renals 2002 IEEE International Conference on Acoustics, Speech, and Signal …, 2002 | 98 | 2002 |
| SVMSVM: Support vector machine speaker verification methodology V Wan, S Renals 2003 IEEE International Conference on Acoustics, Speech, and Signal …, 2003 | 92 | 2003 |
| Speaker verification using support vector machines V Wan University of Sheffield, 2003 | 89 | 2003 |
| Unsupervised clustering of emotion and voice styles for expressive TTS F Eyben, S Buchholz, N Braunschweiler, J Latorre, V Wan, MJF Gales, ... 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 86 | 2012 |
| CHiVE: Varying prosody in speech synthesis with a linguistically driven dynamic hierarchical conditional variational network T Kenter, V Wan, CA Chan, R Clark, J Vit International Conference on Machine Learning, 3331-3340, 2019 | 84 | 2019 |
| The 2005 AMI system for the transcription of speech in meetings T Hain, L Burget, J Dines, G Garau, M Karafiat, M Lincoln, I McCowan, ... Machine Learning for Multimodal Interaction: Second International Workshop …, 2006 | 72 | 2006 |
| Finding maximum margin segments in speech YP Estevan, V Wan, O Scharenborg 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 69 | 2007 |
| Finding maximum margin segments in speech YP Estevan, V Wan, O Scharenborg 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 69 | 2007 |
| Unsupervised speech segmentation: An analysis of the hypothesized phone boundaries O Scharenborg, V Wan, M Ernestus The Journal of the Acoustical Society of America 127 (2), 1084-1095, 2010 | 67 | 2010 |
| The AMI meeting transcription system: Progress and performance T Hain, L Burget, J Dines, G Garau, M Karafiat, M Lincoln, J Vepa, V Wan MLMI, 419-431, 2006 | 58 | 2006 |
| The AMI meeting transcription system: Progress and performance T Hain, L Burget, J Dines, G Garau, M Karafiat, M Lincoln, J Vepa, V Wan MLMI, 419-431, 2006 | 58 | 2006 |
| The development of the AMI system for the transcription of speech in meetings T Hain, L Burget, J Dines, I McCowan, G Garau, M Karafiat, M Lincoln, ... Machine Learning for Multimodal Interaction: Second International Workshop …, 2006 | 57 | 2006 |
| A method based on the chi-square test for document classification M Oakes, R Gaaizauskas, H Fowkes, A Jonsson, V Wan, M Beaulieu Proceedings of the 24th annual international ACM SIGIR conference on …, 2001 | 57 | 2001 |
| Google's Next-Generation Real-Time Unit-Selection Synthesizer Using Sequence-to-Sequence LSTM-Based Autoencoders. V Wan, Y Agiomyrgiannakis, H Silen, J Vit INTERSPEECH, 1143-1147, 2017 | 54 | 2017 |
Thomas HainProfessor of Speech Technology, University of SheffieldVerified email at sheffield.ac.uk
