The weakness of Human Auditory System (HAS) led the audio steganography process to be used in hiding data in the digital sound. Audio steganography is implemented here by using Least Significant Bit (LSB) algorithm to hide message into multiple audio files. This is achieved by 1 st , 2 nd , 3 rd , and 4 th bits hiding ratios. In comparison to other used bits, hiding results show that the use of 1 st bit in LSB method for embedding data is much better than those used bits as expected. In addition to that and according to the results, file's size affects strongly upon the effectiveness of the embedding process while hiding starting position doesn't affect upon the variation of the adopted statistical estimators regardless to which bit is used. Among the statistical estimators that have been adopted here, the Mean Absolute Error (MAE) seems to be the best one in testing hiding process.
In the current study a steganography approach utilized to hide various data file format in wave files cover. Lest significant bit insertion (LSB) used to embedding a regular computer files (such as graphic, execution file (exe), sound, text, hyper text markup language (HTML) …etc) in a wave file with 2-bits hiding rates. The test results achieved good performance to hide any data file in wave file.
Due to brain's internal wiring, a beating effect will be created in it as soon as two sine waves with slightly different frequencies be applied to each ear. Brain's response to such beat remains controversial; therefore and in addition to author's desire toward investigate the role of beat and carrier frequencies upon the brain, this research introduces a new way for quantifying such phenomenon by using an objective methods of quality assessment. In such method, the criteria of error visibility (differences) between tones had been tested. Delta and Theta waves had been used here to investigate their beat and carrier frequencies inside the brain. Results show a similarity behavior for both Delta and Theta waves. Delta wave appeared to be better effect than Theta due to its highest structural dissimilarity metric (DSSIM) which indicates a greater similarity between tones than Theta wave.
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