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Design of a blind quantization‐based audio watermarking scheme using singular value decomposition
Author(s) -
Bhat K Vivekananda,
Das Ashok Kumar,
Lee JongHyouk
Publication year - 2020
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.5253
Subject(s) - digital watermarking , watermark , audio signal , singular value decomposition , computer science , quantization (signal processing) , speech recognition , audio signal processing , embedding , signal processing , signal (programming language) , block (permutation group theory) , speech coding , algorithm , artificial intelligence , mathematics , image (mathematics) , digital signal processing , computer hardware , geometry , programming language
Summary Watermarking is a mechanism in which owner of the audio file hides the watermark information into a audio for various applications. The identity of the owner of the audio file is hidden in the audio, which is known as watermark. In this article, a quantization‐based audio watermarking using singular value decomposition (SVD) is proposed. The original audio signal is converted into non overlapping two dimensional matrix blocks. The SVD is applied to each block. The watermark is embedded into audio signal by quantization of largest singular value of the block. The watermark is extracted blindly without using original audio signal. Experimental results show the watermark's high imperceptibility in the audio signal and good performance against Stirmark as well as traditional signal processing attacks. Compared with other audio watermarking methods, our method has higher embedding capacity and robust against various traditional signal processing attacks.