Description: Owing to the broad application value of audio
watermarking in remote transmission and mobile
extraction, it is very important to study watermarking
approaches against A/D and D/A conversion. Based
on wavelet decomposition and cepstrum technology,
an audio watermarking algorithm is proposed where
the low-frequency wavelet coefficients are chosen for
cepstrum transforming. Then, the obtained cepstrum
data shows stable for watermark hiding by the
methods of edging data cutting and statistical mean
modification. The synchronization is not required in
the algorithm. Experimental results show that the
proposed algorithm can resist on the attack of A/D
and D/A successfully with features of large capacity
and zero bit error. It will be helpful for the mobile
audio in secure broadcast and management in the
File list (Check if you may need any files):
AudioMorphingPaper_2.pdf
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