A noise-type and level-dependent MPO-based speech enhancement architecture with variable frame analysis for noise-robust speech recognition

Mapping Intimacies ◽

10.21437/interspeech.2009-703 ◽

2009 ◽

Author(s):

Vikramjit Mitra ◽

Bengt J. Borgstrom ◽

Carol Y. Espy-Wilson ◽

Abeer Alwan

Keyword(s):

Speech Recognition ◽

Speech Enhancement ◽

Frame Analysis ◽

Robust Speech Recognition ◽

Noise Type ◽

Noise Robust Speech Recognition ◽

Noise Robust

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Speech Enhancement Based on Teacher–Student Deep Learning Using Improved Speech Presence Probability for Noise-Robust Speech Recognition

IEEE/ACM Transactions on Audio Speech and Language Processing ◽

10.1109/taslp.2019.2940662 ◽

2019 ◽

Vol 27 (12) ◽

pp. 2080-2091 ◽

Cited By ~ 10

Author(s):

Yan-Hui Tu ◽

Jun Du ◽

Chin-Hui Lee

Keyword(s):

Deep Learning ◽

Speech Recognition ◽

Speech Enhancement ◽

Robust Speech Recognition ◽

Teacher Student ◽

Noise Robust Speech Recognition ◽

Noise Robust

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Speech enhancement for noise‐robust speech recognition.

The Journal of the Acoustical Society of America ◽

10.1121/1.4783141 ◽

2008 ◽

Vol 124 (4) ◽

pp. 2577-2577

Author(s):

Vikramjit Mitra ◽

Carol Espy‐Wilson

Keyword(s):

Speech Recognition ◽

Speech Enhancement ◽

Robust Speech Recognition ◽

Noise Robust Speech Recognition ◽

Noise Robust

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Combination of GMM-based speech estimation method and temporal domain SVD-based speech enhancement for noise robust speech recognition

Systems and Computers in Japan ◽

10.1002/scj.20487 ◽

2007 ◽

Vol 38 (3) ◽

pp. 23-38

Author(s):

Masakiyo Fujimoto ◽

Yasuo Ariki

Keyword(s):

Speech Recognition ◽

Speech Enhancement ◽

Estimation Method ◽

Robust Speech Recognition ◽

Temporal Domain ◽

Noise Robust Speech Recognition ◽

Noise Robust

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A Review of Signal Subspace Speech Enhancement and Its Application to Noise Robust Speech Recognition

EURASIP Journal on Advances in Signal Processing ◽

10.1155/2007/45821 ◽

2006 ◽

Vol 2007 (1) ◽

Cited By ~ 62

Author(s):

Kris Hermus ◽

Patrick Wambacq ◽

Hugo Van hamme

Keyword(s):

Speech Recognition ◽

Speech Enhancement ◽

Robust Speech Recognition ◽

Signal Subspace ◽

Noise Robust Speech Recognition ◽

Noise Robust

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An application specific matrix processor for signal subspace based speech enhancement in noise robust speech recognition applications

2007 7th International Conference on ASIC ◽

10.1109/icasic.2007.4415743 ◽

2007 ◽

Author(s):

Karthikeyan Natarajan ◽

S. Arun ◽

K. Murugaraj. ◽

Mala John

Keyword(s):

Speech Recognition ◽

Speech Enhancement ◽

Robust Speech Recognition ◽

Signal Subspace ◽

Noise Robust Speech Recognition ◽

Noise Robust ◽

Application Specific

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Noise robust speech recognition by combining speech enhancement in the wavelet domain and Lin-log RASTA

2009 ISECS International Colloquium on Computing, Communication, Control, and Management ◽

10.1109/cccm.2009.5267457 ◽

2009 ◽

Cited By ~ 2

Author(s):

Yang Jie ◽

Wang Zhenli

Keyword(s):

Speech Recognition ◽

Speech Enhancement ◽

Robust Speech Recognition ◽

Wavelet Domain ◽

Noise Robust Speech Recognition ◽

Noise Robust

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Assessment of signal subspace based speech enhancement for noise robust speech recognition

2004 IEEE International Conference on Acoustics, Speech, and Signal Processing ◽

10.1109/icassp.2004.1326143 ◽

2004 ◽

Cited By ~ 2

Author(s):

K. Hermus ◽

P. Wambacq

Keyword(s):

Speech Recognition ◽

Speech Enhancement ◽

Robust Speech Recognition ◽

Signal Subspace ◽

Noise Robust Speech Recognition ◽

Noise Robust

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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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