Features based on filtering and spectral peaks in autocorrelation domain for robust speech recognition

G. Farahani; S.M. Ahadi; M.M. Homayounpour

doi:10.1016/j.csl.2006.03.002

Features based on filtering and spectral peaks in autocorrelation domain for robust speech recognition

Computer Speech & Language ◽

10.1016/j.csl.2006.03.002 ◽

2007 ◽

Vol 21 (1) ◽

pp. 187-205 ◽

Cited By ~ 10

Author(s):

G. Farahani ◽

S.M. Ahadi ◽

M.M. Homayounpour

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Spectral Peaks

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Role of Spectral Peaks in Autocoorelation Domain for Robust Speech Recognition

Journal of Computing and Information Technology ◽

10.2498/cit.1001298 ◽

2009 ◽

Vol 17 (3) ◽

pp. 295 ◽

Cited By ~ 1

Author(s):

Poonam Bansal ◽

Amita Dev ◽

Shail Bala Jain

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Spectral Peaks

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Use of Spectral Peaks in Autocorrelation and Group Delay Domains for Robust Speech Recognition

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

10.1109/icassp.2006.1660071 ◽

2006 ◽

Cited By ~ 1

Author(s):

G. Farahani ◽

S.M. Ahadi ◽

M.M. Homayounpoor

Keyword(s):

Speech Recognition ◽

Group Delay ◽

Robust Speech Recognition ◽

Spectral Peaks

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Point Process Modeling of Spectral Peaks for Low Resource Robust Speech Recognition

Mining Intelligence and Knowledge Exploration - Lecture Notes in Computer Science ◽

10.1007/978-3-319-71928-3_22 ◽

2017 ◽

pp. 221-230

Author(s):

Anupam Mandal ◽

K. R. Prasanna Kumar ◽

Pabitra Mitra

Keyword(s):

Speech Recognition ◽

Point Process ◽

Process Modeling ◽

Robust Speech Recognition ◽

Low Resource ◽

Spectral Peaks

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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 ◽

Cited By ~ 2

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 ◽

Cited By ~ 4

Author(s):

O. Cheng ◽

W. Abdulla ◽

Z. Salcic

Keyword(s):

Performance Evaluation ◽

Speech Recognition ◽

Robust Speech Recognition ◽

Front End

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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 ◽

Cited By ~ 6

Author(s):

John H.L. Hansen ◽

Xianxian Zhang

Keyword(s):

Speech Recognition ◽

Adaptive Beamforming ◽

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 ◽

Noise Robust

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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 ◽

Cited By ~ 1

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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