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The recognition of digital audio data manipulation is a challenge addressed by various fragile and content-fragile watermarking algorithms. But so far none of the approaches provides satisfying results with respect to manipulation detection. Especially distinguishing malicious attacks from allowed post production operations is still an open issue. In this paper we present an improvement of our content-based...
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