Mirjam Wester

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Simon KingProfessor of Speech Processing, University of EdinburghAdresse e-mail validée de ed.ac.uk
Junichi YamagishiNational Institute of Informatics, Tokyo, JapanAdresse e-mail validée de nii.ac.jp
Helmer StrikPI, Associate Professor Radboud University, co-founder and CSO NovoLanguageAdresse e-mail validée de let.ru.nl
Zhizheng WuMeta/FBAdresse e-mail validée de fb.com
Gustav Eje HenterKTH Royal Institute of Technology, Stockholm, SwedenAdresse e-mail validée de kth.se
Rasmus DallJibo Inc.Adresse e-mail validée de dall.dk
Keiichi TokudaNagoya Institute of TechnologyAdresse e-mail validée de nitech.ac.jp
Bill ByrneProfessor in Information Engineering, Cambridge UniversityAdresse e-mail validée de eng.cam.ac.uk
Tomoki TodaNagoya UniversityAdresse e-mail validée de icts.nagoya-u.ac.jp
Reima KarhilaAalto UniversityAdresse e-mail validée de aalto.fi
Matthew AylettCSO, CereProc Ltd., Honorary Fellow, University of EdinburghAdresse e-mail validée de inf.ed.ac.uk
John DinesPrincipal Data Scientist at Expedia, Inc.Adresse e-mail validée de expedia.com
Cassia Valentini-BotinhaoUniversity of EdinburghAdresse e-mail validée de sms.ed.ac.uk
Korin RichmondCentre for Speech Technology Research, University of EdinburghAdresse e-mail validée de cstr.ed.ac.uk
Mikko KurimoProfessor in Speech and Language Processing, Aalto University, FinlandAdresse e-mail validée de aalto.fi
Matthew GibsonAdresse e-mail validée de nuance.com
Peter BellUniversity of EdinburghAdresse e-mail validée de ed.ac.uk
Steve RenalsProfessor of Speech Technology, University of EdinburghAdresse e-mail validée de ed.ac.uk
Pierre LanchantinLead Research Scientist in Speech TechnologyAdresse e-mail validée de transperfect.com
Hui LIANGZalando SE

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Mirjam Wester

IOHK & University of Edinburgh

Adresse e-mail validée de inf.ed.ac.uk


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	239	2007
The Voice Conversion Challenge 2016. T Toda, LH Chen, D Saito, F Villavicencio, M Wester, Z Wu, J Yamagishi Interspeech, 1632-1636, 2016	167	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	153	2015
Articulatory feature recognition using dynamic Bayesian networks J Frankel, M Wester, S King Computer Speech & Language 21 (4), 620-640, 2007	131	2007
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
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	90	2016
An elitist approach to articulatory-acoustic feature classification S Chang, S Greenberg, M Wester International Speech Communication Association, 2001	64	2001
Analysis of the Voice Conversion Challenge 2016 Evaluation Results. M Wester, Z Wu, J Yamagishi Interspeech, 1637-1641, 2016	58	2016
Talker discrimination across languages M Wester Speech Communication 54 (6), 781-790, 2012	48	2012
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	43	2016
Asynchronous articulatory feature recognition using dynamic Bayesian networks M Wester, J Frankel, S King	42	2004
Are we using enough listeners? No!—an empirically-supported critique of Interspeech 2014 TTS evaluations M Wester, C Valentini-Botinhao, GE Henter Sixteenth Annual Conference of the International Speech Communication …, 2015	41	2015
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	40	2001
Automatic classification of voice quality: comparing regression models and hidden Markov models M Wester Utrecht Institute of Linguistics OTS, 1998	39	1998
Syllable classification using articulatory-acoustic features M Wester International Speech Communication Association, 2003	38	2003
The EMIME bilingual database M Wester The University of Edinburgh, 2010	37	2010
A comparison of data-derived and knowledge-based modeling of pronunciation variation M Wester, E Fosler-Lussier International Speech Communication Association, 2000	33	2000
Improving the performance of a Dutch CSR by modeling pronunciation variation M Wester, JM Kessens, H Strik Nijmegen: KU Nijmegen, 1998	33	1998
An elitist approach to automatic articulatory-acoustic feature classification for phonetic characterization of spoken language S Chang, M Wester, S Greenberg Speech Communication 47 (3), 290-311, 2005	32	2005

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