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

L.K. Saul; M.G. Rahim

doi:10.1109/89.824696

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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Use of generalized dynamic feature parameters for speech recognition: maximum likelihood and minimum classification error approaches

1995 International Conference on Acoustics, Speech, and Signal Processing ◽

10.1109/icassp.1995.479599 ◽

2002 ◽

Cited By ~ 13

Author(s):

C. Rathinavelu ◽

L. Deng

Keyword(s):

Speech Recognition ◽

Maximum Likelihood ◽

Classification Error ◽

Dynamic Feature ◽

Feature Parameters ◽

Minimum Classification Error

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Automatic speech recognition based on weighted minimum classification error (W-MCE) training method

2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU) ◽

10.1109/asru.2007.4430124 ◽

2007 ◽

Author(s):

Qiang Fu ◽

Biing-Hwang Juang

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

Classification Error ◽

Training Method ◽

Minimum Classification Error

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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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Frequency-domain maximum likelihood estimation for automatic speech recognition in additive and convolutive noises

IEEE Transactions on Speech and Audio Processing ◽

10.1109/89.841208 ◽

2000 ◽

Vol 8 (3) ◽

pp. 255-266 ◽

Cited By ~ 24

Author(s):

Y. Zhao

Keyword(s):

Speech Recognition ◽

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Frequency Domain ◽

Automatic Speech Recognition ◽

Likelihood Estimation

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

10.21437/interspeech.2008-125 ◽

2008 ◽

Author(s):

Mike Matton ◽

Dirk Van Compernolle ◽

Ronald Cools

Keyword(s):

Speech Recognition ◽

Distance Measure ◽

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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Factor analysis based session variability compensation for Automatic Speech Recognition

2011 IEEE Workshop on Automatic Speech Recognition & Understanding ◽

10.1109/asru.2011.6163920 ◽

2011 ◽

Cited By ~ 2

Author(s):

Mickael Rouvier ◽

Mohamed Bouallegue ◽

Driss Matrouf ◽

Georges Linares

Keyword(s):

Factor Analysis ◽

Speech Recognition ◽

Automatic Speech Recognition ◽

Variability Compensation

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