IMPROVING AUDIO WATERMARKING SCHEME USING PSYCHOACOUSTIC WATERMARK FILTERING

A novel algorithm for embedding a spread- spectrum-based watermark into uncompressed, raw audio sequences is presented. The scheme efficiently takes advantage of masking phenomena in HAS in order to embed watermark data below the masking threshold of audio signal. Detection of the watermark is done by blind detection, without using the original audio. None of the transformations to and from frequency domain are performed either in embedding or extraction part of the proposed scheme, resulting in the calculation simplicity of the embedding and detection process. In experimental tests, the scheme proved to be robust against common attacks against audio watermarking algorithms. Subjective quality evaluation of the algorithm showed that embedded watermark introduces low, inaudible distortion of host audio signal.