A minimum classification error based distance measure for template based speech recognition

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

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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

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Data-driven temporal filters for robust features in speech recognition obtained via Minimum Classification Error (MCE)

IEEE International Conference on Acoustics Speech and Signal Processing ◽

10.1109/icassp.2002.5743732 ◽

2002 ◽

Cited By ~ 9

Author(s):

Jeih-weih Hung ◽

Lin-shan Lee

Keyword(s):

Speech Recognition ◽

Data Driven ◽

Classification Error ◽

Minimum Classification Error

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Minimum Classification Error for Large Scale Speech Recognition Tasks using Weighted Finite State Transducers

Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005. ◽

10.1109/icassp.2005.1415063 ◽

2006 ◽

Cited By ~ 5

Author(s):

E. McDermott ◽

S. Katagiri

Keyword(s):

Speech Recognition ◽

Large Scale ◽

Classification Error ◽

Finite State Transducers ◽

Finite State ◽

Minimum Classification Error ◽

Weighted Finite State Transducers

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Maximum likelihood and minimum classification error factor analysis for automatic speech recognition

IEEE Transactions on Speech and Audio Processing ◽

10.1109/89.824696 ◽

2000 ◽

Vol 8 (2) ◽

pp. 115-125 ◽

Cited By ~ 38

Author(s):

L.K. Saul ◽

M.G. Rahim

Keyword(s):

Factor Analysis ◽

Speech Recognition ◽

Maximum Likelihood ◽

Automatic Speech Recognition ◽

Classification Error ◽

Error Factor ◽

Minimum Classification Error

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Minimum classification error factor analysis (MCE-FA) for automatic speech recognition

1997 IEEE Workshop on Automatic Speech Recognition and Understanding Proceedings ◽

10.1109/asru.1997.659002 ◽

2002 ◽

Author(s):

M. Rahim ◽

L. Saul

Keyword(s):

Factor Analysis ◽

Speech Recognition ◽

Automatic Speech Recognition ◽

Classification Error ◽

Error Factor ◽

Minimum Classification Error

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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

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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

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Discriminative Training for Large-Vocabulary Speech Recognition Using Minimum Classification Error

IEEE Transactions on Audio Speech and Language Processing ◽

10.1109/tasl.2006.876778 ◽

2007 ◽

Vol 15 (1) ◽

pp. 203-223 ◽

Cited By ~ 102

Author(s):

Erik McDermott ◽

Timothy J. Hazen ◽

Jonathan Le Roux ◽

Atsushi Nakamura ◽

Shigeru Katagiri

Keyword(s):

Speech Recognition ◽

Discriminative Training ◽

Classification Error ◽

Large Vocabulary ◽

Minimum Classification Error ◽

Large Vocabulary Speech Recognition

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Large-Margin Minimum Classification Error Training for Large-Scale Speech Recognition Tasks

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07 ◽

10.1109/icassp.2007.367275 ◽

2007 ◽

Cited By ~ 22

Author(s):

Dong Yu ◽

Li Deng ◽

Xiaodong He ◽

Alex Acero

Keyword(s):

Speech Recognition ◽

Large Scale ◽

Classification Error ◽

Large Margin ◽

Error Training ◽

Minimum Classification Error ◽

Minimum Classification Error Training

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