A Study of Minimum Classification Error (MCE) Linear Regression for Supervised Adaptation of MCE-Trained Continuous-Density Hidden Markov Models

IEEE Transactions on Audio Speech and Language Processing ◽

10.1109/tasl.2006.881692 ◽

2007 ◽

Vol 15 (2) ◽

pp. 478-488 ◽

Author(s):

Jian Wu ◽

Qiang Huo

Keyword(s):

Linear Regression ◽

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Classification Error ◽

Continuous Density ◽

Minimum Classification Error

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A study of minimum classification error training for segmental switching linear Gaussian hidden Markov models

10.21437/interspeech.2004-725 ◽

2004 ◽

Author(s):

Jian Wu ◽

Donglai Zhu ◽

Qiang Huo

Keyword(s):

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Classification Error ◽

Error Training ◽

Minimum Classification Error ◽

Minimum Classification Error Training

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Minimum classification error training of hidden Markov models for acoustic language identification

10.21437/interspeech.2006-133 ◽

2006 ◽

Author(s):

Josef G. Bauer ◽

Ekaterina Timoshenko

Keyword(s):

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Language Identification ◽

Classification Error ◽

Error Training ◽

Minimum Classification Error ◽

Minimum Classification Error Training

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Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models

Computer Speech & Language ◽

10.1006/csla.1995.0010 ◽

1995 ◽

Vol 9 (2) ◽

pp. 171-185 ◽

Cited By ~ 1276

Author(s):

C.J. Leggetter ◽

P.C. Woodland

Keyword(s):

Maximum Likelihood ◽

Linear Regression ◽

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Continuous Density ◽

Maximum Likelihood Linear Regression

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Minimum classification error training of hidden Markov models for handwriting recognition

2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221) ◽

10.1109/icassp.2001.941223 ◽

2002 ◽

Author(s):

A.E. Biem

Keyword(s):

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Handwriting Recognition ◽

Classification Error ◽

Error Training ◽

Minimum Classification Error ◽

Minimum Classification Error Training

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Minimum Classification Error Training of Hidden Markov Models for Sequential Data in the Wavelet Domain

INTELIGENCIA ARTIFICIAL ◽

10.4114/ia.v13i44.1045 ◽

2010 ◽

Vol 13 (44) ◽

Author(s):

Diego Tomassi ◽

Diego Milone ◽

Liliana Forzani

Keyword(s):

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Classification Error ◽

Sequential Data ◽

Wavelet Domain ◽

Error Training ◽

Minimum Classification Error ◽

Minimum Classification Error Training

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minimum classification error linear regression for acoustic model adaptation of continuous density HMMS

2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698) ◽

10.1109/icme.2003.1220938 ◽

2003 ◽

Author(s):

Xiaodong He ◽

Wu Chou

Keyword(s):

Linear Regression ◽

Classification Error ◽

Acoustic Model ◽

Model Adaptation ◽

Continuous Density ◽

Minimum Classification Error

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Speaker Independent Continuous Speech Recognition Using Continuous Density Hidden Markov Models

Speech Recognition and Understanding ◽

10.1007/978-3-642-76626-8_16 ◽

1992 ◽

pp. 135-163 ◽

Author(s):

Chin-Hui Lee ◽

Lawrence R. Rabiner ◽

Roberto Pieraccini

Keyword(s):

Speech Recognition ◽

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Continuous Speech ◽

Continuous Speech Recognition ◽

Continuous Density ◽

Speaker Independent

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Speech recognition using continuous density hidden Markov models and the orthogonalizing Karhunen–Loeve transformations

The Journal of the Acoustical Society of America ◽

10.1121/1.418441 ◽

1997 ◽

Vol 101 (1) ◽

pp. 25

Author(s):

Tsuneo Nitta

Keyword(s):

Speech Recognition ◽

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Continuous Density

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Modelling intonation contours at the phrase level using continuous density hidden Markov models

Computer Speech & Language ◽

10.1006/csla.1994.1013 ◽

1994 ◽

Vol 8 (3) ◽

pp. 247-260 ◽

Author(s):

U. Jensen ◽

R.K. Moore ◽

P. Dalsgaard ◽

B. Lindberg

Keyword(s):

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Continuous Density

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Training continuous density hidden Markov models in association with self-organizing maps and LVQ

Neural Networks for Signal Processing II Proceedings of the 1992 IEEE Workshop ◽

10.1109/nnsp.1992.253695 ◽

2003 ◽

Author(s):

M. Kurimo ◽

K. Torkkola

Keyword(s):

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Self Organizing Maps ◽

Continuous Density ◽

Self Organizing

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