| 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 | 252 | 2007 |
| The Voice Conversion Challenge 2016. T Toda, LH Chen, D Saito, F Villavicencio, M Wester, Z Wu, J Yamagishi Interspeech 2016, 1632-1636, 2016 | 229 | 2016 |
| 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 |
| Articulatory feature recognition using dynamic Bayesian networks J Frankel, M Wester, S King Computer Speech & Language 21 (4), 620-640, 2007 | 133 | 2007 |
| 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 | 124 | 2016 |
| Improving the performance of a Dutch CSR by modeling within-word and cross-word pronunciation variation JM Kessens, M Wester, H Strik Speech Communication 29 (2-4), 193-207, 1999 | 105 | 1999 |
| Pronunciation modeling for ASR–knowledge-based and data-derived methods M Wester Computer Speech & Language 17 (1), 69-85, 2003 | 95 | 2003 |
| Analysis of the Voice Conversion Challenge 2016 Evaluation Results. M Wester, Z Wu, J Yamagishi Interspeech, 1637-1641, 2016 | 88 | 2016 |
| Are we using enough listeners? No! An empirically-supported critique of Interspeech 2014 TTS evaluations M Wester, C Valentini-Botinhao, GE Henter Interspeech 2015, 3476-3480, 2015 | 69 | 2015 |
| An elitist approach to articulatory-acoustic feature classification S Chang, S Greenberg, M Wester International Speech Communication Association, 2001 | 64 | 2001 |
| Talker discrimination across languages M Wester Speech Communication 54 (6), 781-790, 2012 | 59 | 2012 |
| The EMIME bilingual database M Wester The University of Edinburgh, 2010 | 49 | 2010 |
| Robust TTS duration modelling using DNNs GE Henter, S Ronanki, O Watts, M Wester, Z Wu, S King 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 48 | 2016 |
| Obtaining phonetic transcriptions: A comparison between expert listeners and a continuous speech recognizer M Wester, JM Kessens, C Cucchiarini, H Strik Language and Speech 44 (3), 377-403, 2001 | 43 | 2001 |
| Speech synthesis for the generation of artificial personality MP Aylett, A Vinciarelli, M Wester IEEE transactions on affective computing 11 (2), 361-372, 2017 | 41 | 2017 |
| Asynchronous articulatory feature recognition using dynamic Bayesian networks M Wester, J Frankel, S King | 41 | 2004 |
| Syllable classification using articulatory-acoustic features M Wester Proc. of Eurospeech'03, 2003 | 39 | 2003 |
| Automatic classification of voice quality: comparing regression models and hidden Markov models M Wester Utrecht Institute of Linguistics OTS, 1998 | 37 | 1998 |
| Human vs machine spoofing detection on wideband and narrowband data. M Wester, Z Wu, J Yamagishi Interspeech, 2047-2051, 2015 | 35 | 2015 |
| A comparison of data-derived and knowledge-based modeling of pronunciation variation M Wester, E Fosler-Lussier Sixth International Conference on Spoken Language Processing, ICSLP 2000 …, 2000 | 35 | 2000 |
Simon KingProfessor of Speech Processing, University of Edinburgh在 ed.ac.uk 的电子邮件经过验证
