Noise Spectrum Estimation Using Line Spectral Frequencies for Robust Speech Recognition

The Journal of the Acoustical Society of Korea ◽

10.7776/ask.2012.31.3.179 ◽

2012 ◽

Vol 31 (3) ◽

pp. 179-187

Author(s):

Gil-Jin Jang ◽

Jeong-Sik Park ◽

Sang-Hun Kim

Keyword(s):

Speech Recognition ◽

Noise Spectrum ◽

Robust Speech Recognition ◽

Spectrum Estimation

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Noise spectrum estimation using Gaussian mixture model-based speech presence probability for robust speech recognition

10.21437/interspeech.2014-162 ◽

2014 ◽

Author(s):

M. J. Alam ◽

Patrick Kenny ◽

Pierre Dumouchel ◽

Douglas O'Shaughnessy

Keyword(s):

Speech Recognition ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture ◽

Noise Spectrum ◽

Robust Speech Recognition ◽

Spectrum Estimation ◽

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Efficient spectrum estimation of noise using line spectral pairs for robust speech recognition

Electronics Letters ◽

10.1049/el.2011.2830 ◽

2011 ◽

Vol 47 (25) ◽

pp. 1399-1401 ◽

Author(s):

G.-J. Jang ◽

H.-Y. Cho

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Spectrum Estimation ◽

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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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Robust Feature Extraction for Continuous Speech Recognition Using the MVDR Spectrum Estimation Method

IEEE Transactions on Audio Speech and Language Processing ◽

10.1109/tasl.2006.876776 ◽

2007 ◽

Vol 15 (1) ◽

pp. 224-234 ◽

Author(s):

Satya Dharanipragada ◽

Umit H. Yapanel ◽

Bhaskar D. Rao

Keyword(s):

Feature Extraction ◽

Speech Recognition ◽

Estimation Method ◽

Spectrum Estimation ◽

Continuous Speech ◽

Continuous Speech Recognition ◽

Robust Feature Extraction

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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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Limited Training Data Robust Speech Recognition Using Kernel-Based Acoustic Models

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

10.1109/icassp.2006.1660226 ◽

2006 ◽

Author(s):

M. Schaffoner ◽

S.E. Kruger ◽

E. Andelic ◽

M. Katz ◽

A. Wendemuth

Keyword(s):

Speech Recognition ◽

Training Data ◽

Robust Speech Recognition ◽

Acoustic Models

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