Audio watermark detection improvement by using noise modelling

Authors:
Nedeljko Cvejic;Tapio Seppänen;David Bull
Affiliations:
Dept. of Electrical and Electronic Engineering, University of Bristol, United Kingdom;MediaTeam, Information Processing Lab., University of Oulu, Oulu, Finland;Dept. of Electrical and Electronic Engineering, University of Bristol, United Kingdom
Venue:
MIV'05 Proceedings of the 5th WSEAS international conference on Multimedia, internet & video technologies
Year:
2005

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Abstract

In this paper we present an improved error correction approach for digital audio watermarking. It uses a turbo coding algorithm that takes into account temporal variations of the host audio's statistical properties, using a turbo decoder that estimates the unknown host audio distribution in the watermarked audio. Experimental results showed nearly one order of magnitude of the BER decrease during watermark extraction, compared to the basic turbo decoding that does not use noise estimation.