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Investigations to Minimum Phone Error Training in Bilingual Speech Recognition
2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery
◽
10.1109/fskd.2009.434
◽
2009
◽
Cited By ~ 5
Author(s):
Ran Xu
◽
Qingqing Zhang
◽
Jielin Pan
◽
Yonghong Yan
Keyword(s):
Speech Recognition
◽
Error Training
◽
Minimum Phone Error
Download Full-text
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Cited By
References
Evaluation and Analysis of Minimum Phone Error Training and its Modified Versions for Large Vocabulary Mandarin Speech Recognition
2008 6th International Symposium on Chinese Spoken Language Processing
◽
10.1109/chinsl.2008.ecp.51
◽
2008
◽
Author(s):
Yung-Jen Cheng
◽
Che-Kuang Lin
◽
Lin-Shan Lee
Keyword(s):
Speech Recognition
◽
Large Vocabulary
◽
Error Training
◽
Mandarin Speech Recognition
◽
Minimum Phone Error
Download Full-text
Prototype-based minimum error training for speech recognition
Applied Intelligence
◽
10.1007/bf00872091
◽
1994
◽
Vol 4
(3)
◽
pp. 245-256
◽
Cited By ~ 5
Author(s):
Erik McDermott
◽
Shigeru Katagiri
Keyword(s):
Speech Recognition
◽
Minimum Error
◽
Error Training
Download Full-text
Minimum Classification Error Training with Speech Synthesis-Based Regularization for Speech Recognition
Proceedings of the 2019 2nd International Conference on Signal Processing and Machine Learning
◽
10.1145/3372806.3372819
◽
2019
◽
Author(s):
Naoto Umezaki
◽
Takumi Okubo
◽
Hideyuki Watanabe
◽
Shigeru Katagiri
◽
Miho Ohsaki
Keyword(s):
Speech Recognition
◽
Speech Synthesis
◽
Classification Error
◽
Error Training
◽
Minimum Classification Error
◽
Minimum Classification Error Training
Download Full-text
Minimum classification error training of landmark models for real-time continuous speech recognition
2004 IEEE International Conference on Acoustics, Speech, and Signal Processing
◽
10.1109/icassp.2004.1326141
◽
2004
◽
Cited By ~ 8
Author(s):
E. McDermott
◽
T.J. Hazen
Keyword(s):
Speech Recognition
◽
Real Time
◽
Classification Error
◽
Continuous Speech
◽
Continuous Speech Recognition
◽
Error Training
◽
Minimum Classification Error
◽
Minimum Classification Error Training
Download Full-text
Investigating Data Selection for Minimum Phone Error Training of Acoustic Models
Multimedia and Expo, 2007 IEEE International Conference on
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10.1109/icme.2007.4284658
◽
2007
◽
Cited By ~ 5
Author(s):
Shih-Hung Liu
◽
Fang-Hui Chu
◽
Shih-Hsiang Lin
◽
Berlin Chen
Keyword(s):
Data Selection
◽
Acoustic Models
◽
Error Training
◽
Selection For
◽
Minimum Phone Error
Download Full-text
Minimum word error training of long short-term memory recurrent neural network language models for speech recognition
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
◽
10.1109/icassp.2016.7472827
◽
2016
◽
Cited By ~ 3
Author(s):
Takaaki Hori
◽
Chiori Hori
◽
Shinji Watanabe
◽
John R. Hershey
Keyword(s):
Neural Network
◽
Speech Recognition
◽
Recurrent Neural Network
◽
Short Term Memory
◽
Language Models
◽
Short Term
◽
Term Memory
◽
Error Training
◽
Long Short Term Memory
◽
Network Language
Download Full-text
Minimum phone error training of precision matrix models
IEEE Transactions on Audio Speech and Language Processing
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10.1109/tsa.2005.858062
◽
2006
◽
Vol 14
(3)
◽
pp. 882-889
◽
Cited By ~ 9
Author(s):
K.C. Sim
◽
M.J.F. Gales
Keyword(s):
Matrix Models
◽
Precision Matrix
◽
Error Training
◽
Minimum Phone Error
Download Full-text
Minimum word classification error training of HMMS for automatic speech recognition
2008 IEEE International Conference on Acoustics, Speech and Signal Processing
◽
10.1109/icassp.2008.4518661
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2008
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Cited By ~ 1
Author(s):
Zhi-Jie Yan
◽
Bo Zhu
◽
Yu Hu
◽
Ren-Hua Wang
Keyword(s):
Speech Recognition
◽
Automatic Speech Recognition
◽
Classification Error
◽
Error Training
◽
Word Classification
Download Full-text
Modelling uncertainty in stochastic vector mapping with minimum classification error training for robust speech recognition
2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).
◽
10.1109/icassp.2003.1202303
◽
2003
◽
Author(s):
Jian Wu
◽
Qiang Huo
Keyword(s):
Speech Recognition
◽
Classification Error
◽
Robust Speech Recognition
◽
Modelling Uncertainty
◽
Error Training
◽
Minimum Classification Error
◽
Stochastic Vector
◽
Vector Mapping
◽
Minimum Classification Error Training
Download Full-text
Audio-visual speech recognition using minimum classification error training
Neural Networks for Signal Processing X. Proceedings of the 2000 IEEE Signal Processing Society Workshop (Cat. No.00TH8501)
◽
10.1109/nnsp.2000.889354
◽
2002
◽
Author(s):
C. Miyajima
◽
K. Tokuda
◽
T. Kitamura
Keyword(s):
Speech Recognition
◽
Visual Speech
◽
Classification Error
◽
Error Training
◽
Visual Speech Recognition
◽
Minimum Classification Error
◽
Minimum Classification Error Training
Download Full-text
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