Noise-robust speech recognition by discriminative adaptation in parallel model combination

Yong-Joo Chung

doi:10.1049/el:20000277

Noise-robust speech recognition by discriminative adaptation in parallel model combination

Electronics Letters ◽

10.1049/el:20000277 ◽

2000 ◽

Vol 36 (4) ◽

pp. 370 ◽

Cited By ~ 1

Author(s):

Yong-Joo Chung

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Parallel Model ◽

Model Combination ◽

Noise Robust Speech Recognition ◽

Noise Robust

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Comparing Jacobian adaptation with cepstral mean normalization and parallel model combination for noise robust speech recognition

IEEE International Conference on Acoustics Speech and Signal Processing ◽

10.1109/icassp.2002.1005709 ◽

2002 ◽

Cited By ~ 2

Author(s):

Parssinen ◽

Salmela ◽

Harju ◽

Kiss

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Parallel Model ◽

Model Combination ◽

Cepstral Mean Normalization ◽

Noise Robust Speech Recognition ◽

Noise Robust

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Approximated Parallel Model Combination for efficient noise-robust speech recognition

2013 IEEE International Conference on Acoustics, Speech and Signal Processing ◽

10.1109/icassp.2013.6639097 ◽

2013 ◽

Cited By ~ 3

Author(s):

Khe Chai Sim

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Parallel Model ◽

Model Combination ◽

Noise Robust Speech Recognition ◽

Noise Robust

Download Full-text

Comparing Jacobian adaptation with cepstral mean normalization and parallel model combination for noise robust speech recognition

IEEE International Conference on Acoustics Speech and Signal Processing ◽

10.1109/icassp.2002.5743687 ◽

2002 ◽

Author(s):

Kimmo Parssinen ◽

Petri Salmela ◽

Mikko Harju ◽

Imre Kiss

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Parallel Model ◽

Model Combination ◽

Cepstral Mean Normalization ◽

Noise Robust Speech Recognition ◽

Noise Robust

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Noise Robust Speech Recognition Based on Parallel Model Combination Adaptation Using Frequency-Variant

The Journal of the Acoustical Society of Korea ◽

10.7776/ask.2013.32.3.252 ◽

2013 ◽

Vol 32 (3) ◽

pp. 252-261 ◽

Cited By ~ 1

Author(s):

Sook-Nam Choi ◽

Hyun-Yeol Chung

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Parallel Model ◽

Model Combination ◽

Noise Robust Speech Recognition ◽

Noise Robust

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Applied mel-frequency discrete wavelet coefficients and parallel model compensation for noise-robust speech recognition

Speech Communication ◽

10.1016/j.specom.2006.06.006 ◽

2006 ◽

Vol 48 (10) ◽

pp. 1294-1307 ◽

Cited By ~ 20

Author(s):

Zekeriya Tufekci ◽

John N. Gowdy ◽

Sabri Gurbuz ◽

Eric Patterson

Keyword(s):

Speech Recognition ◽

Discrete Wavelet ◽

Robust Speech Recognition ◽

Parallel Model ◽

Wavelet Coefficients ◽

Noise Robust Speech Recognition ◽

Noise Robust

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Noise robust speech recognition using parallel model compensation and voice activity detection methods

2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA) ◽

10.1109/icedsa.2016.7818517 ◽

2016 ◽

Cited By ~ 2

Author(s):

Serhat Hizlisoy ◽

Zekeriya Tufekci

Keyword(s):

Speech Recognition ◽

Voice Activity Detection ◽

Detection Methods ◽

Robust Speech Recognition ◽

Parallel Model ◽

Activity Detection ◽

Noise Robust Speech Recognition ◽

Noise Robust ◽

Voice Activity

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Research of a Non-Specific Person Noise-Robust Speech Recognition System

2009 5th International Conference on Wireless Communications, Networking and Mobile Computing ◽

10.1109/wicom.2009.5301587 ◽

2009 ◽

Author(s):

Jing Bai ◽

Xueying Zhang

Keyword(s):

Speech Recognition ◽

Recognition System ◽

Robust Speech Recognition ◽

Speech Recognition System ◽

Noise Robust Speech Recognition ◽

Noise Robust

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Frame decorrelation for noise-robust speech recognition

Electronics Letters ◽

10.1049/el:19960808 ◽

1996 ◽

Vol 32 (13) ◽

pp. 1163 ◽

Cited By ~ 2

Author(s):

H.Y. Jung ◽

D.Y. Kim ◽

C.K. Un

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Noise Robust Speech Recognition ◽

Noise Robust

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Adaptive training with noisy constrained maximum likelihood linear regression for noise robust speech recognition

10.21437/interspeech.2009-364 ◽

2009 ◽

Author(s):

D. K. Kim ◽

M. J. F. Gales

Keyword(s):

Speech Recognition ◽

Maximum Likelihood ◽

Linear Regression ◽

Robust Speech Recognition ◽

Adaptive Training ◽

Noise Robust Speech Recognition ◽

Noise Robust ◽

Constrained Maximum Likelihood ◽

Maximum Likelihood Linear Regression

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Issues with uncertainty decoding for noise robust speech recognition

10.21437/interspeech.2006-343 ◽

2006 ◽

Author(s):

H. Liao ◽

M. J. F. Gales

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Noise Robust Speech Recognition ◽

Noise Robust

Download Full-text