Feature enhancement error compensation for noise robust speech recognition

International Multi-Conference on Systems, Sygnals & Devices ◽

10.1109/ssd.2012.6197929 ◽

2012 ◽

Cited By ~ 1

Author(s):

Gil Ho Lee ◽

Shin Jae Kang ◽

Chang Woo Han ◽

Nam Soo Kim

Keyword(s):

Speech Recognition ◽

Error Compensation ◽

Robust Speech Recognition ◽

Feature Enhancement ◽

Noise Robust Speech Recognition ◽

Noise Robust

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Sequential MAP estimation based speech feature enhancement for noise robust speech recognition

2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). ◽

10.1109/icassp.2003.1198805 ◽

2003 ◽

Author(s):

Chuan Jia ◽

Peng Ding ◽

Bo Xu

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Map Estimation ◽

Feature Enhancement ◽

Noise Robust Speech Recognition ◽

Speech Feature ◽

Noise Robust

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Multi-pass feature enhancement based on generative-discriminative hybrid approach for noise robust speech recognition

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2016.7472779 ◽

2016 ◽

Author(s):

Masakiyo Fujimoto ◽

Tomohiro Nakatani

Keyword(s):

Speech Recognition ◽

Hybrid Approach ◽

Robust Speech Recognition ◽

Feature Enhancement ◽

Noise Robust Speech Recognition ◽

Noise Robust

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Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition

IEEE Transactions on Audio Speech and Language Processing ◽

10.1109/tasl.2013.2258013 ◽

2013 ◽

Vol 21 (8) ◽

pp. 1640-1652 ◽

Cited By ~ 8

Author(s):

Volker Leutnant ◽

Alexander Krueger ◽

Reinhold Haeb-Umbach

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Feature Enhancement ◽

Noise Robust Speech Recognition ◽

Noise Robust

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Estimating Uncertainty to Improve Exemplar-Based Feature Enhancement for Noise Robust Speech Recognition

IEEE/ACM Transactions on Audio Speech and Language Processing ◽

10.1109/taslp.2013.2292328 ◽

2014 ◽

Vol 22 (2) ◽

pp. 368-380 ◽

Cited By ~ 8

Author(s):

Heikki Kallasjoki ◽

Jort F. Gemmeke ◽

Kalle J. Palomaki

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Feature Enhancement ◽

Noise Robust Speech Recognition ◽

Noise Robust

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Feature enhancement based on generative-discriminative hybrid approach with gmms and DNNS for noise robust speech recognition

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2015.7178926 ◽

2015 ◽

Cited By ~ 4

Author(s):

Masakiyo Fujimoto ◽

Tomohiro Nakatani

Keyword(s):

Speech Recognition ◽

Hybrid Approach ◽

Robust Speech Recognition ◽

Feature Enhancement ◽

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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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

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Comparative Evaluations of Various Factored Deep Convolutional Rnn Architectures for Noise Robust Speech Recognition

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2018.8462596 ◽

2018 ◽

Author(s):

Masakiyo Fujimoto ◽

Hisashi Kawai

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Noise Robust Speech Recognition ◽

Noise Robust

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