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A blind audio watermarking based on singular value decomposition and quantization

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Abstract

In this work, we have proposed a robust audio watermarking technique in which a binary image is embedded into a host audio signal for copyright protection. In the embedding process, blocks of host audio signals are transformed by singular value decomposition method. Then, a watermark bit is embedded in each block by modifying the highest singular value of that block using a user defined quantization parameter. In the extraction process, the watermark is extracted from watermarked audio signal without using the host audio signal. The proposed technique has a high data payload having very good imperceptibility. The experimental result shows that the proposed method is robust under different audio attacks. The performance of the present method is also compared with other existing methods and present method has similar performance (sometimes better) as the existing methods. The novelty of the proposed work is the use of a new quantization method for the quantization of highest singular value. In this method, we scrambled the watermark image before embedding it and this increases the security level of the proposed scheme.

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Data availability

This study is based on the data provided by the corresponding author, A. Ghosal, of the Ph.D. Thesis “Hierarchical Approach for Content Based Audio Classification” submitted at Jadavpur University, India, in 2014.

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Authors and Affiliations

  1. Department of Computer Science & Engineering, College of Engineering and Management, Kolaghat, India

    Chinmay Maiti

  2. Department of Information Technology, Jadavpur University, Kolkata, India

    Bibhas Chandra Dhara

Authors
  1. Chinmay Maiti
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  2. Bibhas Chandra Dhara
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Correspondence to Chinmay Maiti.

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Maiti, C., Dhara, B.C. A blind audio watermarking based on singular value decomposition and quantization. Int J Speech Technol 25, 759–771 (2022). https://doi.org/10.1007/s10772-022-09989-2

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  • DOI: https://doi.org/10.1007/s10772-022-09989-2

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