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Title |
Random Sample Audio Watermarking Algorithm for Compressed Wave Files |
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Author |
Harsh Verma, Ramanpreet Kaur, Raman kumar |
| Citation |
Vol. 9 No. 11 pp. 283-287 |
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Abstract |
In this research work, various audio watermarking techniques have been studied and investigated. A novel audio watermarking method is proposed in which watermark is added transparently after ADPCM (Adaptive Differential Pulse Code Modulation). In the proposed scheme we have used random sample instead of fixed or low frequency carriers to embed the watermark into the audio bit stream. Proposed technique has been implemented and its audio quality parameters are compared to the other best known audio watermarking technique. Comparison has been done on the basis of Peak Signal to Noise Ratio, Signal to Noise ratio and Bit Error Rate. The new scheme is suitable for retaining first generation archived files of high quality. A tool has been used for measuring the audio quality factors. Further, these quality parameters have been used to generate graphical outputs and tabular values for comparison with the best known audio watermarking technique. As the audio signal quality metrics i.e. higher Peak Signal to Noise Ratio (PSNR) and lower Bit Error Rate (BER) and higher Signal to Noise Ratio (SNR) itself are proving that the proposed technique for audio Watermarking is good one. The comparison with the best known Watermarking technique known as An Adaptive Watermarking Algorithm for MP3 Compressed Audio Signal techniques proves that the newly proposed and implemented algorithm has given much better results for audio watermarking. Higher values of PSNR of audio signal also prove the robustness of the proposed algorithm. |
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Keywords |
Digital audio watermarking, ADPCM, Inaudibility, Robustness Peak Signal to Noise Ratio, Signal to Noise ratio and Bit Error Rate |
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