Mirjam Wester

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Simon KingProfessor of Speech Processing, University of EdinburghVerified email at ed.ac.uk
Junichi YamagishiNational Institute of Informatics, Tokyo, JapanVerified email at nii.ac.jp
Helmer StrikPI, Associate Professor Radboud University, co-founder and CSO NovoLanguageVerified email at let.ru.nl
Zhizheng WuThe Chinese University of Hong Kong, Shenzhen, Mel LabVerified email at cuhk.edu.cn
Keiichi TokudaNagoya Institute of TechnologyVerified email at nitech.ac.jp
Rasmus DallSpotify Inc.Verified email at dall.dk
Gustav Eje HenterKTH Royal Institute of Technology, Stockholm, SwedenVerified email at kth.se
Tomoki TodaNagoya UniversityVerified email at icts.nagoya-u.ac.jp
Bill ByrneProfessor of Information Engineering, Cambridge UniversityVerified email at eng.cam.ac.uk
Matthew AylettAssociate Professor, Heriot Watt University, CSO, CereProc Ltd.Verified email at hw.ac.uk
Reima KarhilaAalto UniversityVerified email at silo.ai
Cassia Valentini-BotinhaoUniversity of EdinburghVerified email at inf.ed.ac.uk
Korin RichmondCentre for Speech Technology Research, University of EdinburghVerified email at cstr.ed.ac.uk
Mikko KurimoProfessor in Speech and Language Processing, Aalto University, FinlandVerified email at aalto.fi
John DinesDirector Machine Learning Science at Expedia GroupVerified email at expedia.com
Peter BellUniversity of EdinburghVerified email at ed.ac.uk
Steve RenalsUniversity of EdinburghVerified email at ed.ac.uk
Pierre LanchantinLead Research Scientist in Speech TechnologyVerified email at transperfect.com
Matthew GibsonVerified email at nuance.com
Hui LIANGNIO GmbH

Mirjam Wester

IOG (IOHK) & University of Edinburgh

Verified email at inf.ed.ac.uk


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	255	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	235	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	184	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	130	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	96	2003
Analysis of the Voice Conversion Challenge 2016 Evaluation Results. M Wester, Z Wu, J Yamagishi Interspeech, 1637-1641, 2016	90	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	76	2015
An elitist approach to articulatory-acoustic feature classification S Chang, S Greenberg, M Wester International Speech Communication Association, 2001	65	2001
Talker discrimination across languages M Wester Speech Communication 54 (6), 781-790, 2012	61	2012
The EMIME bilingual database M Wester The University of Edinburgh, 2010	51	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
Speech synthesis for the generation of artificial personality MP Aylett, A Vinciarelli, M Wester IEEE transactions on affective computing 11 (2), 361-372, 2017	45	2017
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	44	2001
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
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	36	2000
A hierarchical predictor of synthetic speech naturalness using neural networks T Yoshimura, GE Henter, O Watts, M Wester, J Yamagishi, K Tokuda Interspeech 2016, 342-346, 2016	35	2016

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