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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Format: | EJournal Article |
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Institute of Advanced Engineering and Science,
2015-01-01.
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LEADER | 01935 am a22002653u 4500 | ||
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001 | ijeecs4185_3548 | ||
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 |