Fusion Feature Extraction Based on Auditory and Energy for Noise-Robust Speech Recognition

IEEE Access ◽

10.1109/access.2019.2918147 ◽

2019 ◽

Vol 7 ◽

pp. 81911-81922 ◽

Author(s):

Yanyan Shi ◽

Jing Bai ◽

Peiyun Xue ◽

Dianxi Shi

Keyword(s):

Feature Extraction ◽

Speech Recognition ◽

Robust Speech Recognition ◽

Noise Robust Speech Recognition ◽

Noise Robust ◽

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Non-negative subspace projection during conventional MFCC feature extraction for noise robust speech recognition

2013 National Conference on Communications (NCC) ◽

10.1109/ncc.2013.6487993 ◽

2013 ◽

Author(s):

D. S. Pavan Kumar ◽

Raghavendra R. Bilgi ◽

S. Umesh

Keyword(s):

Feature Extraction ◽

Speech Recognition ◽

Robust Speech Recognition ◽

Subspace Projection ◽

Noise Robust Speech Recognition ◽

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Spike-Based Feature Extraction for Noise Robust Speech Recognition Using Phase Synchrony Coding

2007 IEEE International Symposium on Circuits and Systems ◽

10.1109/iscas.2007.378702 ◽

2007 ◽

Author(s):

Ismail Uysal ◽

Harsha Sathyendra ◽

John G. Harris

Keyword(s):

Feature Extraction ◽

Speech Recognition ◽

Robust Speech Recognition ◽

Phase Synchrony ◽

Noise Robust Speech Recognition ◽

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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 ◽

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Frame decorrelation for noise-robust speech recognition

Electronics Letters ◽

10.1049/el:19960808 ◽

1996 ◽

Vol 32 (13) ◽

pp. 1163 ◽

Author(s):

H.Y. Jung ◽

D.Y. Kim ◽

C.K. Un

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Noise Robust Speech Recognition ◽

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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 ◽

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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 ◽

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Noise robust speech recognition using Gaussian basis functions for non-linear likelihood function approximation

IEEE International Conference on Acoustics Speech and Signal Processing ◽

10.1109/icassp.2002.5743740 ◽

2002 ◽

Author(s):

Chris Pal ◽

Brendan Frey ◽

Trausti Kristjansson

Keyword(s):

Speech Recognition ◽

Function Approximation ◽

Likelihood Function ◽

Basis Functions ◽

Robust Speech Recognition ◽

Noise Robust Speech Recognition ◽

Gaussian Basis Functions ◽

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Multi-Task Autoencoder for Noise-Robust Speech Recognition

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

10.1109/icassp.2018.8461446 ◽

2018 ◽

Author(s):

Haoyi Zhang ◽

Conggui Liu ◽

Nakamasa Inoue ◽

Koichi Shinoda

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Noise Robust Speech Recognition ◽

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Covariance modelling for noise-robust speech recognition

10.21437/interspeech.2008-318 ◽

2008 ◽

Author(s):

R. C. van Dalen ◽

M. J. F. Gales

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Noise Robust Speech Recognition ◽

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