Time-Scale Invariant Audio Data Embedding

被引：0
|
作者：
Mohamed F. Mansour
Ahmed H. Tewfik
机构：
[1] University of Minnesota,Department of Electrical and Computer Engineering
来源：
EURASIP Journal on Advances in Signal Processing | / 2003卷
关键词：
data embedding; broadcast monitoring; time-scale invariant; spline interpolation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
We propose a novel algorithm for high-quality data embedding in audio. The algorithm is based on changing the relative length of the middle segment between two successive maximum and minimum peaks to embed data. Spline interpolation is used to change the lengths. To ensure smooth monotonic behavior between peaks, a hybrid orthogonal and nonorthogonal wavelet decomposition is used prior to data embedding. The possible data embedding rates are between 20 and 30 bps. However, for practical purposes, we use repetition codes, and the effective embedding data rate is around 5 bps. The algorithm is invariant after time-scale modification, time shift, and time cropping. It gives high-quality output and is robust to mp3 compression.
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