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In this paper a novel data hiding scheme for MPEG compressed audio is proposed. It exploits wet paper codes as the communication channel and hides data directly in the MPEG audio bit stream by modifying the MPEG audio quantization process. It is applicable to all three layers of MPEG audio. Experimental results show that the proposed method is sustainable against transcoding and re-encoding without degrading the audio quality or increasing the file size.

In this paper, we describe a novel statistical audio watermarking scheme. Under the control of the masking thresholds, watermark is embedded adaptively and transparently in the perceptual significant portions in wavelet packet domain by a statistical method. Watermark detection can be done without access to the original signal. Experimental results show the proposed scheme can survive common signal manipulations and malicious attacks.

A novel uatennarkaq scheme for audio authentication is proposal ui this piper. The scheme ccimbines the psychoacoustic model with wavelet pckets to adiptively select the test basis tor wavelet picket decoiuiposition such that the subbands art closest to Critical Bands, given the tc:iiqmal rrwilution and conqxitational limit. 'Ilie proposed method can adaptively control the watenuarking strength hi the wavelet packet domain accordiug to psychoacoustic model, which eiusiues both traiisyareiicy and sensitivity of the watennarking scliaur. The amount of watemuark iiwrted iii different wavelet packet coefficient 1 s based on current subband threshold generated by psychoacoustic model. Generally , bi our :jchaIie, uiie coel'ficient carries multi-bit watemiark message: which comesponds to different taqers. 'The new scheme can authenticate the integrity of audio signals and simultaneonsly can locate the trtmpered region in teinporaUfrqnency domain and decide .flit: tampered extent, as well. Esperiruentai results SI~OH. that IIIC proposed scheme has the desired proptmty and good perfonmiice for audio authentication.