By Sogand Ghorbani, Iraj Sadegh Amiri
Audio content material protection: assault research on Audio Watermarking describes learn utilizing a typical audio watermarking technique for 4 various 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 learn can be utilized for additional reports and to set up the necessity to have a selected method of audio watermarking for every specific crew of songs, every one with varied features. an extra element of this learn exams and analyzes parameters of audio host dossier and watermark on a particular evaluate approach (PSNR) for audio watermarking.
- Describes learn utilizing a standard audio watermarking technique for 4 diverse genres of music
- Provides the result of many try out attacks
- Presents exams and analyzes parameters of audio host dossier and watermark on a particular review approach (PSNR) for audio watermarking
Read or Download Audio Content Security. Attack Analysis on Audio Watermarking PDF
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Extra resources for Audio Content Security. Attack Analysis on Audio Watermarking
00004-0 © 2016 Elsevier Inc. All rights reserved. 28 Audio Content Security which are subtle instrumentals mostly used as background music but is also meant to be listened to. It focuses more on sound than melodic form. Throughout the analysis, several problems were encountered during embedding and recognition process and it is documented as part of the results and comparisons. After conducting watermarking process, five different types of attacks (MP3, resampling (down sampling and upsampling), low-pass filtering and high-pass filtering, and echo) is done to the watermarked audios and through extraction part the impact of them on the files is revealed whether the watermark can be extracted successfully or it cannot.
The results showed that the genres are so important on the resistance and each one is so different from the other and has its own vulnerabilities. In addition, the most harmful attack is echo and the least is upsampling. 1 INTRODUCTION In this section the discussion about audio file analysis and evaluation is discussed, besides the most important types of comparison for two audios (host audio and the watermarked audio) represented. Also two different comparisons are done to precise what kind of attribute changes of audio has the most influential impact on the power ratio of the result sound of subtract the watermarked audio from host, to estimate SNR of it.
5 Proportion of successful extraction after filtering attack. filter is used with small speakers to remove bass or low frequencies. In this step first a high filter with 6 db and 1141 Hz provided for all songs but as there was not any problem to extract this time experiments a higher power 12 db and 1221 Hz of frequencies. 14 shows the result of this filtering on the watermarked songs. It is significant that except one failure in 25-byte size tag from Rock group all the other songs successfully pass the extraction process.
Audio Content Security. Attack Analysis on Audio Watermarking by Sogand Ghorbani, Iraj Sadegh Amiri