WSJCAMO: a British English speech corpus for large vocabulary continuous speech recognition T Robinson, J Fransen, D Pye, J Foote, S Renals 1995 International Conference on Acoustics, Speech, and Signal Processing 1 …, 1995 | 482 | 1995 |
Connectionist probability estimators in HMM speech recognition S Renals, N Morgan, H Bourlard, M Cohen, H Franco IEEE transactions on speech and audio processing 2 (1), 161-174, 1994 | 386 | 1994 |
Speaker verification using sequence discriminant support vector machines V Wan, S Renals IEEE transactions on speech and audio processing 13 (2), 203-210, 2005 | 303 | 2005 |
Extractive summarization of meeting recordings. G Murray, S Renals, J Carletta Interspeech, 2005 | 301 | 2005 |
Convolutional neural networks for distant speech recognition P Swietojanski, A Ghoshal, S Renals IEEE Signal Processing Letters 21 (9), 1120-1124, 2014 | 294 | 2014 |
Learning hidden unit contributions for unsupervised speaker adaptation of neural network acoustic models P Swietojanski, S Renals 2014 IEEE Spoken Language Technology Workshop (SLT), 171-176, 2014 | 271 | 2014 |
Speaker-adaptation for hybrid HMM-ANN continuous speech recognition system J Neto, L Almeida, M Hochberg, C Martins, L Nunes, S Renals, ... International Speech Communication Association, 1995 | 269 | 1995 |
Multilingual training of deep neural networks A Ghoshal, P Swietojanski, S Renals 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 259 | 2013 |
Robust speaker-adaptive HMM-based text-to-speech synthesis J Yamagishi, T Nose, H Zen, ZH Ling, T Toda, K Tokuda, S King, S Renals IEEE Transactions on Audio, Speech, and Language Processing 17 (6), 1208-1230, 2009 | 246 | 2009 |
Multiplicative LSTM for sequence modelling B Krause, L Lu, I Murray, S Renals arXiv preprint arXiv:1609.07959, 2016 | 242 | 2016 |
The use of recurrent neural networks in continuous speech recognition T Robinson, M Hochberg, S Renals Automatic Speech and Speaker Recognition: Advanced Topics, 233-258, 1996 | 239 | 1996 |
Phoneme classification experiments using radial basis functions S Renals, R Rohwer International Joint Conference on Neural Networks 1, 461-467, 1989 | 215 | 1989 |
Recognition and understanding of meetings the AMI and AMIDA projects S Renals, T Hain, H Bourlard 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU …, 2007 | 187 | 2007 |
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 | 183 | 2015 |
Punctuation annotation using statistical prosody models. H Christensen, Y Gotoh, S Renals Proceedings of the ITRW on Prosody in Speech Recognition and Understanding, 2001 | 175 | 2001 |
A study of speaker adaptation for DNN-based speech synthesis Z Wu, P Swietojanski, C Veaux, S Renals, S King Interspeech 2015, 2015 | 172 | 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 | 166 | 2012 |
On training the recurrent neural network encoder-decoder for large vocabulary end-to-end speech recognition L Lu, X Zhang, S Renais 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 154 | 2016 |
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 | 154 | 2004 |
Human-computer dialogue simulation using hidden markov models H Cuayáhuitl, S Renals, O Lemon, H Shimodaira IEEE Workshop on Automatic Speech Recognition and Understanding, 2005., 290-295, 2005 | 153 | 2005 |