Robust Voiceprint Based Audio Watermarking Using Wavelet Transform

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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