Erik McDermott
Title
Cited by
Cited by
Year
Deep neural networks for small footprint text-dependent speaker verification
E Variani, X Lei, E McDermott, IL Moreno, J Gonzalez-Dominguez
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
5142014
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
2102007
Discriminative training for large-vocabulary speech recognition using minimum classification error
E McDermott, TJ Hazen, J Le Roux, A Nakamura, S Katagiri
IEEE Transactions on Audio, Speech, and Language Processing 15 (1), 203-223, 2006
2002006
Sequence discriminative distributed training of long short-term memory recurrent neural networks
H Sak, O Vinyals, G Heigold, A Senior, E McDermott, R Monga, M Mao
Fifteenth annual conference of the international speech communication …, 2014
1332014
Large scale deep neural network acoustic modeling with semi-supervised training data for YouTube video transcription
H Liao, E McDermott, A Senior
2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 368-373, 2013
1242013
An application of discriminative feature extraction to filter-bank-based speech recognition
A Biem, S Katagiri, E McDermott, BH Juang
IEEE Transactions on Speech and Audio Processing 9 (2), 96-110, 2001
1042001
Acoustic Modeling for Google Home.
B Li, TN Sainath, A Narayanan, J Caroselli, M Bacchiani, A Misra, ...
Interspeech, 399-403, 2017
1002017
Shift-invariant, multi-category phoneme recognition using Kohonen's LVQ2
E McDermott, S Katagiri
International Conference on Acoustics, Speech, and Signal Processing,, 81-84, 1989
951989
Discriminative training for speech recognition
E McDermott
Waseda University, 1997
871997
Prototype-based minimum classification error/generalized probabilistic descent training for various speech units
E McDermott, S Katagiri
Computer Speech & Language 8 (4), 351-368, 1994
651994
Asynchronous stochastic optimization for sequence training of deep neural networks
G Heigold, E McDermott, V Vanhoucke, A Senior, M Bacchiani
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
632014
A hybrid speech recognition system using HMMs with an LVQ-trained codebook
H Iwamida, S Katagiri, E McDermott, Y Tohkura
Journal of the Acoustical Society of Japan (E) 11 (5), 277-286, 1990
631990
Training conditional random fields with multivariate evaluation measures
J Suzuki, E McDermott, H Isozaki
Proceedings of the 21st International Conference on Computational …, 2006
572006
LVQ-based shift-tolerant phoneme recognition
E McDermott, S Katagiri
IEEE Transactions on signal processing 39 (6), 1398-1411, 1991
561991
Optimization methods for discriminative training
JL Roux, E McDermott
Ninth European Conference on Speech Communication and Technology, 2005
442005
String-level MCE for continuous phoneme recognition
E McDermott, S Katagiri
Fifth European Conference on Speech Communication and Technology, 1997
421997
Discriminative training based on an integrated view of MPE and MMI in margin and error space
E McDermott, S Watanabe, A Nakamura
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
412010
Foreign language learning apparatus, foreign language learning method, and medium
R Yamada, T Adachi, K Markov, S Katagiri, E McDermott
US Patent 7,401,018, 2008
382008
A derivation of minimum classification error from the theoretical classification risk using Parzen estimation
E McDermott, S Katagiri
Computer Speech & Language 18 (2), 107-122, 2004
372004
Speaker-independent large vocabulary word recognition using an LVQ/HMM hybrid algorithm
H Iwamida, S Katagiri, E McDermott
[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech …, 1991
351991
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