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Robust Voiceprint Based Audio Watermarking Using Wavelet Transform

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Nanoelectronics, Circuits and Communication Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 511))

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Abstract

The audio system of the humans is more complicated and not easy to analyze or understand than the visual systems of the humans. Due to this, various effective watermarking algorithms have been implemented and introduced for digital text and digital images. Only fewer algorithms have been introduced or selected for the audio watermarking. This paper proposes a novel robust approach for the audio watermarking using voiceprint of a speech signal with wavelet transform. Haar and different orders of Daubechies wavelets have been used for the abovementioned task. The performance of voiceprint-based audio watermarking using wavelet transform has been compared based on percentage compression, retained signal energy, and signal-to-noise ratio (SNR). Higher order Daubechies wavelets have shown better performance for audio watermarking in terms of various performance parameters as mentioned.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Birla Institute of Technology Mesra, Ranchi, 835215, India

    Sumit Srivastava & G. Sahoo

  2. Department of Electronics and Communication Engineering, Birla Institute of Technology Mesra, Ranchi, 835215, India

    Mahesh Chandra

Authors
  1. Sumit Srivastava
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  2. Mahesh Chandra
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  3. G. Sahoo
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Corresponding author

Correspondence to Sumit Srivastava .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India

    Vijay Nath

  2. Department of Computer Science and Engineering, University of Kalyani, Kalyani, India

    Jyotsna Kumar Mandal

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© 2019 Springer Nature Singapore Pte Ltd.

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Srivastava, S., Chandra, M., Sahoo, G. (2019). Robust Voiceprint Based Audio Watermarking Using Wavelet Transform. In: Nath, V., Mandal, J. (eds) Nanoelectronics, Circuits and Communication Systems . Lecture Notes in Electrical Engineering, vol 511. Springer, Singapore. https://doi.org/10.1007/978-981-13-0776-8_42

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  • DOI: https://doi.org/10.1007/978-981-13-0776-8_42

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0775-1

  • Online ISBN: 978-981-13-0776-8

  • eBook Packages: EngineeringEngineering (R0)

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