Voice Activity Robust Detection of Noisy Speech in Toeplitz

A Toeplitz de-noising method using the maximum eigenvalue is proposed for the voice activity detection at low SNR scenarios. This method uses the self-correlation sequence of speech bandwidth spectrum to construct a new symmetric Toeplitz matrix and to compute the largest eigenvalue, and the double...

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Main Author: Wang, Jingfang (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2015-01-01.
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042 |a dc 
100 1 0 |a Wang, Jingfang  |e author 
100 1 0 |e contributor 
245 0 0 |a Voice Activity Robust Detection of Noisy Speech in Toeplitz 
260 |b Institute of Advanced Engineering and Science,   |c 2015-01-01. 
520 |a A Toeplitz de-noising method using the maximum eigenvalue is proposed for the voice activity detection at low SNR scenarios. This method uses the self-correlation sequence of speech bandwidth spectrum to construct a new symmetric Toeplitz matrix and to compute the largest eigenvalue, and the double decision thresholds in the largest eigenvalue are applied in the decision framewok. Simulation results show that the presented algorithm is more effective in distinguishing speech from noise and has better robustness under various noisy environments. Compared with novel method of recurrence rate analysis, this algorithm shows lower wrong decision rate. The algorithm is of low computational complexity and is simple in real-time realization. DOI:  http://dx.doi.org/10.11591/telkomnika.v13i1.6902  
540 |a Copyright (c) 2015 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc-nd/4.0 
546 |a eng 
690 |a voice activity detection(VAD), speech bandwidth spectrum, maximum eigenvaluem, robustness, Toeplitz matrix 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 13, No 1: January 2015; 137-144 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v13.i1 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4185/3548 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4185/3548  |z Get fulltext