By Sogand Ghorbani, Iraj Sadegh Amiri
Audio content material safeguard: assault research on Audio Watermarking describes examine utilizing a standard audio watermarking technique for 4 assorted genres of track, additionally offering the result of many try out assaults to figure out the robustness of the watermarking within the face of these assaults.
The result of this research can be utilized for extra reviews and to set up the necessity to have a specific method of audio watermarking for every specific workforce of songs, every one with varied features. an extra element of this examine exams and analyzes parameters of audio host dossier and watermark on a selected assessment technique (PSNR) for audio watermarking.
- Describes examine utilizing a standard audio watermarking procedure for 4 various genres of music
- Provides the result of many try out attacks
- Presents assessments and analyzes parameters of audio host dossier and watermark on a selected evaluate technique (PSNR) for audio watermarking
Read or Download Audio Content Security. Attack Analysis on Audio Watermarking PDF
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Audio content material safety: assault research on Audio Watermarking describes examine utilizing a standard audio watermarking technique for 4 diversified genres of song, additionally offering the result of many attempt assaults to figure out the robustness of the watermarking within the face of these assaults. the result of this research can be utilized for extra stories and to set up the necessity to have a selected means of audio watermarking for every specific crew of songs, every one with various features.
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Additional info for Audio Content Security. Attack Analysis on Audio Watermarking
6 Proportion of successful extraction for all attacks. 5 SUMMARY This chapter analyzed results of five different types of signal processing attacks on a specific watermarking algorithm. Results included five different sizes of text tags that inserted into variety of songs which belonged to four different groups of music. Through this analysis, the persistent of watermark in each group of songs has been tested to see which type of attack is more challenging for audios and to understand every genre of music is vulnerable to what kind of attack the most.
It is interesting that after upsampling all the song from 48,000 to 88,200 Hz and 1,920,000 Hz and also a very high one 3,840,000 Hz, there was no problem to extract all the embedded watermarks from all the songs, it showed that this king of attack is not harmful for all these genes. 3 Low-pass filtering Filtering is so important both in sound and radio implementations. And all of this is just to get rid of inessential noise or signals that happen to be bombarding the inputs. So let us take a more in-depth look at these.
The results of these experiments are compared with the previous study which has been done a partially similar analysis but not in audio watermarking, in audio steganography. 1 Representation of correlation between size and PSNR. 8 976 Evaluation Analysis 47 disapprove the last work that had been done. Also the study is on stereo mode means that audio output is on two channels and the peak signal-to-noise ratio (PSNR) are calculated for each separately. The results of this stage showed that whenever the sizes of tags are increased the PSNR decreased.