Abstract
In this paper, we propose a more robust scheme of audio watermarking which is based on cepstrum (or cepstral coefficients) and HOS (higher-order statistics) schemes. This scheme is a zero-watermarking one for the reason to maintain the audio quality. The audio signal is firstly kurtosis-estimated and feature-recognized, and then analyzed via CC and HOS, respectively, to extract the essential parameters and characteristics, which are then used for information embedding and extracting. The achievement of the proposed scheme could outperform the previous innovative one [1].
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References
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Kuo, BL., Lo, CC., Liu, CH., Liao, BY., Pan, JS. (2010). Audio Watermarking with HOS-Based Cepstrum Feature. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2010. Lecture Notes in Computer Science(), vol 6422. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16732-4_34
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DOI: https://doi.org/10.1007/978-3-642-16732-4_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16731-7
Online ISBN: 978-3-642-16732-4
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