This paper presents the application of the promising public key watermarking method1 to the audio domain. Its de- tection process does not need the original content nor the secret key used in the embedding process. It is the trans- lation, in the watermarking domain, of a public key pair cryptosystem [1]. We start to build the detector with some basic assumptions. This leads to a hypothesis test based on probability likelihood. But real audio signals do not satisfy the assumption of a Gaussian probability density function. Moreover, the use of an advanced human perception model to hide the watermark makes the detection issue a tough problem. Our works result in a new detection process o er- ing a good test's power for a low probability of false alarm.