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.