An N-best candidates-based discriminative training for speech recognition applications

IEEE Transactions on Speech and Audio Processing ◽

10.1109/89.260363 ◽

1994 ◽

Vol 2 (1) ◽

pp. 206-216 ◽

Author(s):

Jung-Kuei Chen ◽

F.K. Soong

Keyword(s):

Speech Recognition ◽

Discriminative Training

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Improvement Comparison of Different Lattice-based Discriminative Training Methods in Chinese-monolingual and Chinese-English-bilingual Speech Recognition

ACTA AUTOMATICA SINICA ◽

10.3724/sp.j.1004.2012.01162 ◽

2012 ◽

Vol 38 (7) ◽

pp. 1162

Author(s):

Yan-Min QIAN ◽

Yu-Xiang SHAN ◽

Lin-Fang WANG ◽

Jia LIU

Keyword(s):

Speech Recognition ◽

Discriminative Training ◽

Training Methods ◽

English Bilingual

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Improvement Comparison of Different Lattice-based Discriminative Training Methods in Chinese-monolingual and Chinese-English-bilingual Speech Recognition

Acta Automatica Sinica ◽

10.1016/s1874-1029(11)60288-7 ◽

2012 ◽

Vol 38 (7) ◽

pp. 1162-1168

Author(s):

Yan-Min QIAN ◽

Yu-Xiang SHAN ◽

Lin-Fang WANG ◽

Jia LIU

Keyword(s):

Speech Recognition ◽

Discriminative Training ◽

Training Methods ◽

English Bilingual

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Discriminative Training using Heterogeneous Feature Vector for Hindi Automatic Speech Recognition System

2017 International Conference on Computer and Applications (ICCA) ◽

10.1109/comapp.2017.8079777 ◽

2017 ◽

Author(s):

Mohit Dua ◽

Rajesh Kumar Aggarwal ◽

Mantosh Biswas

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

Feature Vector ◽

Recognition System ◽

Discriminative Training ◽

Speech Recognition System ◽

Automatic Speech Recognition System ◽

Heterogeneous Feature

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Discriminative training for speech recognition is compensating for statistical dependence in the HMM framework

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2012.6288979 ◽

2012 ◽

Author(s):

Dan Gillick ◽

Steven Wegmann ◽

Larry Gillick

Keyword(s):

Speech Recognition ◽

Discriminative Training ◽

Statistical Dependence

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A Discriminative Training Framework using N-Best Speech Recognition Transcriptions and Scores for Spoken Utterance Classification

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

10.1109/icassp.2007.367149 ◽

2007 ◽

Author(s):

Sibel Yaman ◽

Li Deng ◽

Dong Ye ◽

Ye-Yi Wang ◽

Alex Acero

Keyword(s):

Speech Recognition ◽

Discriminative Training

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Discriminative Training Based on the Criterion of Least Phone Competing Tokens for Large Vocabulary Speech Recognition

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

10.1109/icassp.2005.1415064 ◽

2006 ◽

Author(s):

Bo Liu ◽

Hui Jiang ◽

Jian-Lai Zhou ◽

Ren-Hua Wang

Keyword(s):

Speech Recognition ◽

Discriminative Training ◽

Large Vocabulary ◽

Large Vocabulary Speech Recognition

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Discriminative training of HMM stream exponents for audio-visual speech recognition

Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181) ◽

10.1109/icassp.1998.679695 ◽

2002 ◽

Author(s):

G. Potamianos ◽

H.P. Graf

Keyword(s):

Speech Recognition ◽

Discriminative Training ◽

Visual Speech ◽

Visual Speech Recognition

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Speech recognition in a neural network framework: discriminative training of Gaussian models and mixture densities as radial basis functions

[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing ◽

10.1109/icassp.1991.150404 ◽

1991 ◽

Author(s):

H. Ney

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Radial Basis Functions ◽

Basis Functions ◽

Discriminative Training ◽

Gaussian Models ◽

Mixture Densities ◽

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Phone modeling and combining discriminative training for mandarinenglish bilingual speech recognition

2010 IEEE International Conference on Acoustics, Speech and Signal Processing ◽

10.1109/icassp.2010.5495112 ◽

2010 ◽

Author(s):

Yanmin Qian ◽

Jia Liu

Keyword(s):

Speech Recognition ◽

Discriminative Training

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Discriminative training of hidden Markov models by multiobjective optimization for visual speech recognition

Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. ◽

10.1109/ijcnn.2005.1556216 ◽

2006 ◽

Author(s):

Jong-Seok Lee ◽

Cheol Hoon Park

Keyword(s):

Speech Recognition ◽

Multiobjective Optimization ◽

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Discriminative Training ◽

Visual Speech ◽

Visual Speech Recognition

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