Abstract
In this paper, we propose a new digital audio watermarking technique with the wavelet transform. The watermark is embedded by eliminating unnecessary information of audio signal based on human auditory system (HAS). This algorithm is an audio watermarking method, which does not require any original audio information in watermark extraction process. In this paper, the masking effect is used for audio watermarking, that is, post-temporal masking effect. We construct the window with the synchronization signal and we extract the best frame in the window by using the zero-crossing rate (ZCR) and the energy of the audio signal. The watermark may be extracted by using the correlation of the watermark signal and the portion of the frame. Experimental results show good robustness against MPEG1-layer3 compression and other common signal processing manipulations. All the attacks are made after the D/A/D conversion.
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Hwang, W.Y., Kang, H.I., Han, S.S., Kim, K.I., Kang, H.S. (2004). Robust Audio Watermarking Using Both DWT and Masking Effect. In: Kalker, T., Cox, I., Ro, Y.M. (eds) Digital Watermarking. IWDW 2003. Lecture Notes in Computer Science, vol 2939. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24624-4_29
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DOI: https://doi.org/10.1007/978-3-540-24624-4_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21061-0
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