A Mean Quantization Watermarking Scheme for Audio Signals Using Singular-Value Decomposition

Bhat, Vivekananda K and Das, Ashok Kumar and Lee, Jong-Hyounk (2019) A Mean Quantization Watermarking Scheme for Audio Signals Using Singular-Value Decomposition. IEEE Access, 7. pp. 157480-157488. ISSN 2169-3536

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Recently, research in audio watermarking technology makes it a promising tool for copyright protection of digital audio files in networked environments. In this paper, we propose a new mean quantization based water marking mechanism for audio based on the technique due to Singular Value Decomposition (SVD).In this method, the host signal is divided into a number of two-dimensional matrix frames. The SVD is the n employed to every frame, and also the Euclidean norm of the Singular Values(SVs)are calculated for every frame. The water mark is the n hidden in to an audio signal by quantization of the norm of the SVs. The water mark Is xtracted blindly using the inverse process. Both the subjective and objective tests demonstrate good imperceptibility of the watermark in the audio file. Furthermore, the experimental results show good robustness of the proposed scheme against various common audio attacks and Stir mark benchmark attacks. Thefalse-negativeerrorofthemethodisveryneartozeroagainstStirmarkandaudioattacks.

Item Type: Article
Uncontrolled Keywords: Mean quantization, singular value decomposition, audio watermarking, security
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 12 Feb 2020 10:54
Last Modified: 12 Feb 2020 10:54
URI: http://eprints.manipal.edu/id/eprint/154916

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