This dissertation describes the design, implementation, and
evaluation of an audio watermarking algorithm on the basis of a
statistical mathematical model. The design of the basic audio
watermarking method, relying on hypothesis testing, is motivated by
a discussion of possible application scenarios determining
algorithmic parameters. To permit an exhaustive evaluation of the
method in terms of quality of the watermarked audio tracks, both
subjective listening tests and objective measurement standards have
been applied to the watermarked tracks in order to verify the
obtained quality. A general approach for a risk analysis of
watermarking applications is presented, analyzing possible attacks
and countermeasures during the deployment of watermarking methods.
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