Mirjam Wester
Mirjam Wester
IOHK & Research Fellow University of Edinburgh
Verified email at inf.ed.ac.uk
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
2372007
The Voice Conversion Challenge 2016.
T Toda, LH Chen, D Saito, F Villavicencio, M Wester, Z Wu, J Yamagishi
Interspeech, 1632-1636, 2016
1532016
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
1472015
Articulatory feature recognition using dynamic Bayesian networks
J Frankel, M Wester, S King
Computer Speech & Language 21 (4), 620-640, 2007
1322007
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
1071999
Pronunciation modeling for ASR–knowledge-based and data-derived methods
M Wester
Computer Speech & Language 17 (1), 69-85, 2003
942003
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
792016
An elitist approach to articulatory-acoustic feature classification
S Chang, S Greenberg, M Wester
International Speech Communication Association, 2001
642001
Analysis of the Voice Conversion Challenge 2016 Evaluation Results.
M Wester, Z Wu, J Yamagishi
Interspeech, 1637-1641, 2016
542016
Talker discrimination across languages
M Wester
Speech Communication 54 (6), 781-790, 2012
482012
Asynchronous articulatory feature recognition using dynamic Bayesian networks
M Wester, J Frankel, S King
432004
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
412001
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
382016
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
382015
Syllable classification using articulatory-acoustic features
M Wester
International Speech Communication Association, 2003
382003
The EMIME bilingual database
M Wester
The University of Edinburgh, 2010
362010
Automatic classification of voice quality: comparing regression models and hidden Markov models
M Wester
Utrecht Institute of Linguistics OTS, 1998
361998
A comparison of data-derived and knowledge-based modeling of pronunciation variation
M Wester, E Fosler-Lussier
International Speech Communication Association, 2000
352000
Improving the performance of a Dutch CSR by modeling pronunciation variation
M Wester, JM Kessens, H Strik
Nijmegen: KU Nijmegen, 1998
331998
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
322005
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