Authentication of Audio Signals in Frequency Domain (AASF)

In this paper, an approach has been made to authenticate an audio song in a collection of a similar one. Generating a unique signature with the help of another short length audio signal that will not be directly embedded into the original song but its encoded lower magnitude values will embed into the original song as a prime identity. Encoding hidden audio into lower magnitude values followed by embedding lower magnitude values into specified locations of magnitude values of original song in a predefined way that is not affected by its audible quality carries a secret authenticating message for quickly identifying it from similar signals. A comparative study has been made with similar existing techniques and experimental results are supported with mathematical formula based on Microsoft WAVE (“.wav”) stereo sound file.