International Journal of Education and Management Engineering (IJEME)
IJEME Vol. 2, No. 1, 8 Jan. 2012
Cover page and Table of Contents: PDF (size: 75KB)
An Adaptive Audio Watermarking Scheme Method Based on Kernel Fuzzy C-means Clustering
Full Text (PDF, 75KB), PP.73-80
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Author(s)
Honghong Chen
1,*
Zulin Zhang
2
Index Terms
Audio signal, audio watermarking, adaptive watermarking, kernel fuzzy c-means clustering algorithm
Abstract
In this paper, we propose an adaptive audio watermarking scheme according to local audio features. Firstly, the original audio signal is partitioned into audio frames and these audio frames are transformed into DWT domain respectively. Next, the local features of each audio frame are extracted respectively, and these features are used to train kernel fuzzy c-means (KFCM) clustering algorithm. According to well-trained KFCM, the audio frames to embed the watermark are selected and their embedding strengths are determined adaptively. The experimental results show the proposed method is robust to common signal processing operations such as lossy compression (MP3), filtering, re-sampling, re-quantizing, etc.
Cite This Paper
Honghong Chen,Zulin Zhang,"An Adaptive Audio Watermarking Scheme Method Based on Kernel Fuzzy C-means Clustering", IJEME, vol.2, no.1, pp.73-80, 2012. DOI: 10.5815/ijeme.2012.01.12
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