Feature Compensation Employing Variational Model Composition for Robust Speech Recognition in In-Vehicle Environment

Digital Signal Processing for In-Vehicle Systems and Safety ◽

10.1007/978-1-4419-9607-7_11 ◽

2011 ◽

pp. 175-185 ◽

Author(s):

Wooil Kim ◽

John H. L. Hansen

Keyword(s):

Speech Recognition ◽

Variational Model ◽

Robust Speech Recognition ◽

Model Composition

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Variational model composition for robust speech recognition with time-varying background noise

10.21437/interspeech.2009-368 ◽

2009 ◽

Author(s):

Wooil Kim ◽

John H. L. Hansen

Keyword(s):

Speech Recognition ◽

Background Noise ◽

Variational Model ◽

Robust Speech Recognition ◽

Time Varying ◽

Model Composition

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Variational noise model composition through model perturbation for robust speech recognition with time-varying background noise

Speech Communication ◽

10.1016/j.specom.2010.12.001 ◽

2011 ◽

Vol 53 (4) ◽

pp. 451-464 ◽

Author(s):

Wooil Kim ◽

John H.L. Hansen

Keyword(s):

Speech Recognition ◽

Background Noise ◽

Noise Model ◽

Robust Speech Recognition ◽

Time Varying ◽

Model Composition

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PCA-based Variational Model Composition Method for Roust Speech Recognition with Time-Varying Background Noise

The Journal of the Korean Institute of Information and Communication Engineering ◽

10.6109/jkiice.2013.17.12.2793 ◽

2013 ◽

Vol 17 (12) ◽

pp. 2793-2799

Author(s):

Wooil Kim

Keyword(s):

Speech Recognition ◽

Background Noise ◽

Variational Model ◽

Time Varying ◽

Model Composition ◽

Composition Method

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Speech Enhancement Employing Variational Noise Model Composition for Robust Speech Recognition in Time-Varying Noisy Environments Model Composition for Robust Speech Recognition in Time-

10.14257/astl.2014.58.23 ◽

2014 ◽

Author(s):

Sunmee Kang ◽

Wooil Kim

Keyword(s):

Speech Recognition ◽

Speech Enhancement ◽

Noise Model ◽

Robust Speech Recognition ◽

Time Varying ◽

Model Composition ◽

Noisy Environments

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Model composition by lagrange polynomial approximation for robust speech recognition in noisy environment

10.21437/interspeech.2004-724 ◽

2004 ◽

Author(s):

Chandra Kant Raut ◽

Takuya Nishimoto ◽

Shigeki Sagayama

Keyword(s):

Speech Recognition ◽

Polynomial Approximation ◽

Robust Speech Recognition ◽

Model Composition ◽

Noisy Environment ◽

Lagrange Polynomial

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Exploring Low-Dimensional Structures of Modulation Spectra for Robust Speech Recognition

10.21437/interspeech.2017-611 ◽

2017 ◽

Author(s):

Bi-Cheng Yan ◽

Chin-Hong Shih ◽

Shih-Hung Liu ◽

Berlin Chen

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Low Dimensional

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Toward Robust Speech Recognition and Understanding

The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology ◽

10.1007/s11265-005-4149-x ◽

2005 ◽

Vol 41 (3) ◽

pp. 245-254 ◽

Author(s):

Sadaoki Furui

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition

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Deep bidirectional neural networks for robust speech recognition under heavy background noise

Materials Today Proceedings ◽

10.1016/j.matpr.2021.02.640 ◽

2021 ◽

Author(s):

Jeevan Reddy Koya ◽

S.P. Venu Madhava Rao

Keyword(s):

Neural Networks ◽

Speech Recognition ◽

Background Noise ◽

Robust Speech Recognition

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Performance evaluation of front-end algorithms for robust speech recognition

Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005. ◽

10.1109/isspa.2005.1581037 ◽

2006 ◽

Author(s):

O. Cheng ◽

W. Abdulla ◽

Z. Salcic

Keyword(s):

Performance Evaluation ◽

Speech Recognition ◽

Robust Speech Recognition ◽

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Analysis of CFA-BF: Novel combined fixed/adaptive beamforming for robust speech recognition in real car environments

Speech Communication ◽

10.1016/j.specom.2009.09.001 ◽

2010 ◽

Vol 52 (2) ◽

pp. 134-149 ◽

Author(s):

John H.L. Hansen ◽

Xianxian Zhang

Keyword(s):

Speech Recognition ◽

Adaptive Beamforming ◽

Robust Speech Recognition

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