Speech signal compression and encryption based on sudoku, fuzzy C-means and threefish cipher

Abstract

<span lang="EN-US">Compression and encryption of speech signals are essential multimedia technologies. In the field of speech, these technologies are needed to meet the security and confidentiality of information requirements for transferring huge speech signals via a network, and for decreasing storage space for rapid retrieval. In this paper, we propose an algorithm that includes hybrid transformation in order to analyses the speech signal frequencies. The speech signal is then compressed, after removing low and less intense frequencies, to produce a well compressed speech signal and ensure the quality of the speech. The resulting compressed speech is then used as an input in a scrambling algorithm that was proposed on two levels. One of these is an external scramble that works on mixing up the segments of speech that were divided using Fuzzy C-Means and changing their locations. The internal scramble scatters the values of each block internally based on the pattern of a Sudoku puzzle and quadratic map so that the resulting speech is an input to a proposed encryption algorithm using the threefish algorithm. The proposed algorithm proved to be highly efficient in the compression and encryption of the speech signal based on approved statistical measures.</span>

Provably secure and efficient audio compression based on compressive sensing

“…The model of this paper has better correlation coefficients and MSE values than [13], which means that this system has a better signal recovery ability. The compression ratio in the proposed system also reached 30% of the original file, which is less than the compression ratio of [36] and close to the MSE values. 4.…”

“…The reconstruction operation requires only simple operations of multiplication and division. Consequently, our system significantly reduces the computational complexity because the complexity time of the proposed algorithm is O(n) which is better than in [35], [36] that are 𝑂(10 (2𝑚) 2 ) and 𝑂(10 𝑚𝑛 ) respectively.…”

Effective Audio Compression using Enhanced Encoding Method

“…The following are some notable works in the area of audio compression: In [13], the ISSN: 2710-2165 http://doi.org/10.58564/IJSER.3.1.2024.152 https://ijser.aliraqia.edu.iq authors proposed a method to encrypt and compress audio signal by breaking audio into frames of 1024 sample and apply DCT on each frame then multiplied by mathematical matrix generated by chaotic scheme where final results shows it satisfy the compression criteria. Researchers In [14] proposed an algorithm that used a hybrid transformation to analyze the speech data frequencies the applied filter to remove the noise from the speech to scramble the results by mixing the speech segments using fuzzy and c-means then changing their location the final steps scramble and scatter the values of blocks using sudoku puzzle and quadratic map finally it shows highly efficient compression algorithm based on approved statistical measures. While authors in [8]proposed a new method using sensing based system that compress audio signal by divide the data into segments (small sample matrix) multiplied by non square sensing matrix.…”