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Anitha, R.
- Digital Rights Management for Audio Using Robust Zero-Watermark Algorithm
Abstract Views :145 |
PDF Views:3
Authors
Affiliations
1 Department of Computer Science and Applications, SNMV College of Arts Science, IN
1 Department of Computer Science and Applications, SNMV College of Arts Science, IN
Source
Biometrics and Bioinformatics, Vol 3, No 9 (2011), Pagination: 418-423Abstract
Digital watermarking is a fast growing technique of protecting digital multimedia data (audio, image and video) against illegal attack. The watermark is intended to be permanently embedded into the digital data so that authorized users can easily access it. At the same time, the watermark should not degrade the quality of the digital data. In this paper, a new audio watermarking scheme is presented using Singular Value Decomposition (SVD), Discrete Wavelet Transform (DWT) and Dither-modulation quantization (DM). The benefits of using quantization and singular values (SVs) in watermarking technique is the DM method is uncomplicated, has very low complexity, and attains good rate-distortion-robustness trade-offs. Dither-modulation is one of the most excellent processes for carrying out blind watermarking, because of its simplicity and excellent rate-distortion-robustness tradeoffs. In this work, a new audio watermarking algorithm based on SVD, DWT and dither-modulation quantization is proposed. The watermark is inserted with the help of dither-modulation quantization of the singular values of the blocks of the host audio signal. The watermark can be obtained without the knowledge of the original audio signal. Experiments were carried out to test the imperceptibility using Mean Opinion Score (MOS) grade and the PSNR Evaluation is done. The PSNR value proves that the proposed technique has very high PSNR value and it has very low PSNR noise value.Keywords
Singular Value Decomposition (SVD), Discrete Wavelet Transform (DWT), Dither-Modulation Quantization (DM).
- Implementing Security in Virtual Personal Assistant by Using Voice Biometrics Technology
Abstract Views :160 |
PDF Views:0
Authors
Source
Biometrics and Bioinformatics, Vol 10, No 7 (2018), Pagination: 129-131Abstract
In Today’s world Artificial intelligence for human robot interaction plays a wide role. This paper, concentrated on the security of data from the VPA [Virtual Personal Assistant] software application. Virtual personal Assistant was programmed with Artificial intelligence, voice recognition and machine learning technology. The VPA are used to understand the natural language and complete the task of the user. A personal information includes, this system should be secured and protected. As a result, a user data information has been secured in the two-way conversation of the user and the Virtual Personal Assistant.