Speech analysis method based on source-filter model using multivariate empirical mode decomposition in log-spectrum domain

Boonkla, Surasak; Unoki, Masashi; Makhanov, Stanislav S.; Wutiwiwatchai, Chai

doi:10.1109/iscslp.2014.6936715

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…Considering the autocorrelation algorithm is a traditional and universal method to extract synchronising information, the performance of autocorrelation algorithm and SC algorithm were compared in this section. In addition, autocorrelation algorithm in time domain improved to autocorrelation algorithm in frequency domain in some fields, such as speech analysis [13, 14]. Considering the harmonic characteristics of video leaking signal spectrum, we introduced the spectrum autocorrelation algorithm to extract synchronising information of video leaking signal in this paper, and then, the spectrum autocorrelation algorithm and SC algorithm were also compared in this section.…”

Section: Resultsmentioning

confidence: 99%

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Efficient and anti‐interference method of synchronising information extraction for cideo leaking signal

Sun

Shi

Wei

et al. 2016

IET signal process.

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Electromagnetic radiation signal from computer display can be seen as a computer security risk if the radiation signal is intercepted and reconstructed. Electromagnetic radiation signal from computer display can also be called video leaking signal. Synchronising information extraction is the key problem of computer video leaking signal interception and reconstruction. To solve such problem, a novel synchronising information extraction algorithm based on spectral centroid has been developed. This study not only introduced spectral centroid into video leaking signal processing but also defined the concept of segmented spectral centroid. In addition, the uniformity degree of spectral centroid spacing distribution was defined to describe the harmonic characteristics of video leaking signal spectrum. The proposed algorithm can extract the electromagnetic radiation signal's synchronising information automatically and efficiently even with interference signal. Thus, the interception and reconstruction of electromagnetic radiation can be realised more effectively and the anti-interference performance can be improved.

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Section: Resultsmentioning

confidence: 99%

“…Thus, correlation will not be able to extract synchronising information with periodic signal interference. To solve this problem, autocorrelation algorithm in time domain improved to autocorrelation algorithm in frequency domain in some other fields, such as speech analysis [13, 14].…”

Section: Spectral Centroid Based Video Leaking Signal Information Ementioning

confidence: 99%

Efficient and anti‐interference method of synchronising information extraction for cideo leaking signal

Sun

Shi

Wei

et al. 2016

IET signal process.

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Robust Speech Analysis Based on Source-Filter Model Using Multivariate Empirical Mode Decomposition in Noisy Environments

Boonkla

Unoki

Makhanov

2016

Speech and Computer

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