| The Blizzard Challenge 2008 V Karaiskos, S King, RAJ Clark, C Mayo Proc. Blizzard Challenge Workshop, 2008 | 464* | 2008 |
| Merlin: An Open Source Neural Network Speech Synthesis System. Z Wu, O Watts, S King SSW, 202-207, 2016 | 408 | 2016 |
| Deep neural networks employing multi-task learning and stacked bottleneck features for speech synthesis Z Wu, C Valentini-Botinhao, O Watts, S King 2015 IEEE international conference on acoustics, speech and signal …, 2015 | 332 | 2015 |
| The voice bank corpus: Design, collection and data analysis of a large regional accent speech database C Veaux, J Yamagishi, S King 2013 international conference oriental COCOSDA held jointly with 2013 …, 2013 | 327 | 2013 |
| Detection of phonological features in continuous speech using neural networks S King, P Taylor Computer Speech & Language 14 (4), 333-353, 2000 | 257 | 2000 |
| An overview of voice conversion and its challenges: From statistical modeling to deep learning B Sisman, J Yamagishi, S King, H Li IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 132-157, 2020 | 251 | 2020 |
| Speech production knowledge in automatic speech recognition S King, J Frankel, K Livescu, E McDermott, K Richmond, M Wester The Journal of the Acoustical Society of America 121 (2), 723-742, 2007 | 247 | 2007 |
| 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 |
| Multisyn: Open-domain unit selection for the Festival speech synthesis system RAJ Clark, K Richmond, S King Speech Communication 49 (4), 317-330, 2007 | 205 | 2007 |
| Investigating gated recurrent networks for speech synthesis Z Wu, S King 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 183 | 2016 |
| A study of speaker adaptation for DNN-based speech synthesis Z Wu, P Swietojanski, C Veaux, S Renals, S King Sixteenth Annual Conference of the International Speech Communication …, 2015 | 168 | 2015 |
| Articulatory feature-based methods for acoustic and audio-visual speech recognition: Summary from the 2006 JHU summer workshop K Livescu, O Cetin, M Hasegawa-Johnson, S King, C Bartels, N Borges, ... 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 160 | 2007 |
| Announcing the electromagnetic articulography (day 1) subset of the mngu0 articulatory corpus K Richmond, P Hoole, S King Twelfth Annual Conference of the International Speech Communication Association, 2011 | 157 | 2011 |
| The listening talker: A review of human and algorithmic context-induced modifications of speech M Cooke, S King, M Garnier, V Aubanel Computer Speech & Language 28 (2), 543-571, 2014 | 141 | 2014 |
| Festival 2–build your own general purpose unit selection speech synthesiser RAJ Clark, K Richmond, S King | 134 | 2004 |
| Articulatory feature recognition using dynamic Bayesian networks J Frankel, M Wester, S King Computer Speech & Language 21 (4), 620-640, 2007 | 133 | 2007 |
| Speech synthesis technologies for individuals with vocal disabilities: Voice banking and reconstruction J Yamagishi, C Veaux, S King, S Renals Acoustical Science and Technology 33 (1), 1-5, 2012 | 119 | 2012 |
| Measuring a decade of progress in text-to-speech S King Loquens 1 (1), e006-e006, 2014 | 116 | 2014 |
| Anti-spoofing for text-independent speaker verification: An initial database, comparison of countermeasures, and human performance Z Wu, PL De Leon, C Demiroglu, A Khodabakhsh, S King, ZH Ling, ... IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (4), 768-783, 2016 | 114 | 2016 |
| Analysis of statistical parametric and unit selection speech synthesis systems applied to emotional speech R Barra-Chicote, J Yamagishi, S King, JM Montero, J Macias-Guarasa Speech communication 52 (5), 394-404, 2010 | 114 | 2010 |
Junichi YamagishiNational Institute of Informatics, Tokyo, JapanVerified email at nii.ac.jp
