Keywords : audio file


Suggested Method for Audio File Steganography

Saja J. Mohammed; Faris E. Mohammed

AL-Rafidain Journal of Computer Sciences and Mathematics, 2013, Volume 10, Issue 1, Pages 285-295
DOI: 10.33899/csmj.2013.163459

The  world is tend now a lot of development in communication  field specially  in internet , therefore it is very important to find security methods for files that is send from one place to another.  One of these security approaches is steganography which  have characteristic of transfer massages within transmission media (files) without  notice from any obtrusive.  This paper provide anew suggested method for hiding text in audio file (wav file), first the text file will be read to extract the massage which is hidden, for more security this massage will be encrypted (or coded ) before hiding it inside sound media (in time domain) . This algorithm was applied on more than one example and good results were obtained without missing the text massage or notice  any noise in the cover file. 
 

Audio File Compression Using Counter Propagation Neural Network

Saja J. Mohammed

AL-Rafidain Journal of Computer Sciences and Mathematics, 2010, Volume 7, Issue 1, Pages 153-168
DOI: 10.33899/csmj.2010.163869

In this paper audio files are compressed using counter propagation neural network (CPNN) which is one of the fastest neural networks in multi media. The utilized counter propagation neural network was trained on uncompressed sound file to obtain the final weights of this CPNN (Kohonen layer, Grossberg layer ).
In compression operation: the sound signal segmented to number of frames equal in size. Then these frames are applied step by step, to the first layer of the neural network(kohonen layer) to obtain some compression results. The decompression operation done by retrieve stored information  in resulted file. This information is applied to second layer of this CPNN (Grosberg layer) which will perform decompression operation and retrieve the original sound file. The proposed algorithm is applied on (.wav) audio files , The results show high performance in addition to short time in compression and decompression operation.
 

Reduction of the Accompanying Noise when Hidding in an Audio File

Radwan Y.S. Al-Jawadi; Adel S. Issa

AL-Rafidain Journal of Computer Sciences and Mathematics, 2008, Volume 5, Issue 1, Pages 61-79
DOI: 10.33899/csmj.2008.163962

The stereography which used to hide certain information using a host file is a science and an art. Such practice is usually done to keep away any thought in the presence of a hidden message in the host. Hiding is often done using sound, image or video files. The problem is that such hiding may cause some detectable changes in the host file .This study focuses on hiding in WAVE type sound file. Sound files are either one-byte sample or two- byte sample .The hiding idea involves the replacement of the original data by another data from a text file. The first four bits from each byte are used in wave file as a hiding domain.
Accordingly, a hiding system was designed for the reduction of the accompanying noise. In this research, it was depended on the human herring for group of people to calculate the reduction in the noise of the host file .It was also shown that hiding in 8-bit sample (1 byte) results in a clearly detectable noise. This jumping 10 bytes in each replacement process led to eliminate the noise .It was also concluded, that when using first and second bit from each byte the noise was completely eliminated by jumping 30 byte. On the other hand, hiding in 16-bit sample (2byte) has led to complete disappearance of the noise when jumping 10 byte at each data replacement process.