A Hybrid Method of Noise Robust Speech Recognition Based on Fractional Spectral Subtraction and Perceptual Linear Preditive

2008 Congress on Image and Signal Processing ◽

10.1109/cisp.2008.776 ◽

2008 ◽

Author(s):

Zhen-li Wang ◽

Zhi-qiang Bai

Keyword(s):

Speech Recognition ◽

Hybrid Method ◽

Spectral Subtraction ◽

Robust Speech Recognition ◽

Noise Robust Speech Recognition ◽

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Direct Control on Modulation Spectrum for Noise-Robust Speech Recognition and Spectral Subtraction

2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings ◽

10.1109/iscas.2006.1693139 ◽

2006 ◽

Author(s):

N. Wada ◽

N. Hayasaka ◽

S. Yoshizawa ◽

Y. Miyanaga

Keyword(s):

Speech Recognition ◽

Spectral Subtraction ◽

Robust Speech Recognition ◽

Direct Control ◽

Modulation Spectrum ◽

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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Noise Robust Speech Recognition Using Prosodic Information

DSP for In-Vehicle and Mobile Systems ◽

10.1007/0-387-22979-5_9 ◽

2005 ◽

pp. 139-152 ◽

Author(s):

Koji Iwano ◽

Takahiro Seki ◽

Sadaoki Furui

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Noise Robust Speech Recognition ◽

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