A New Technique for the Estimation of Jitter and Shimmer of Voiced Speech Signal

Author(s):  
C. Shahnaz ◽  
W.-p. Zhu ◽  
M.O. Ahmad
Author(s):  
Iman Qays Abduljaleel ◽  
Amal Hameed Khaleel

In this paper, a new technique that hides a secret text inside a speech signal without any apparent noise is presented. The technique for encoding the secret text is through first scrambling the text using Chaotic Map, then encoding the scraped text using the Zaslavsky map, and finally hiding the text by breaking the speech signal into blocks and using only half of each block with the LSB, K-means algorithms. The measures (SNR, PSNR, Correlation, SSIM, and MSE) are used on various speech files (“.WAV”), and various secret texts. We observed that the suggested technique offers high security (SNR, PSNR, Correlation, and SSIM) of an encrypted text with low error (MSE). This indicates that the noise level in the speech signal is very low and the speech purity is high, so the suggested method is effective for embedding encrypted text into speech files.


2005 ◽  
Vol 25 (1_suppl) ◽  
pp. S543-S543
Author(s):  
Satoshi Kimura ◽  
Keigo Matsumoto ◽  
Yoshio Imahori ◽  
Katsuyoshi Mineura ◽  
Toshiyuki Itoh

2009 ◽  
Vol 56 (S 01) ◽  
Author(s):  
J Bickenbach ◽  
R Rossaint ◽  
R Autschbach ◽  
R Dembinski

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