Title :
Audio watermarking using m-sequences and temporal masking
Author :
Cvejic, Nedeljko ; Keskinarkaus, Anja ; Seppanen, Tapio
Author_Institution :
MediaTeam, Oulu Univ., Finland
Abstract :
A novel algorithm for embedding a spread-spectrum based watermark into uncompressed, raw audio sequences is presented. The scheme takes advantage of temporal masking phenomenon in the human auditory system (HAS) in order to embed watermark data below the masking threshold of the audio signal. Detection of the watermark is done by blind detection, without using the original audio. As watermarking embedding and extraction are performed in the temporal domain, transformations to and from the frequency domain are not performed, neither on the embedding nor extraction part of the proposed scheme, resulting in the calculation simplicity of the embedding and detection process. The algorithm proved to be robust against mp3 compression (resulting in a BER of about 1.7%) and other common signal processing attacks, while the embedded watermark introduces no audible distortion of the host audio signal
Keywords :
audio coding; copy protection; data compression; hearing; m-sequences; security of data; spread spectrum communication; BER; HAS; algorithm; audio signal masking threshold; audio watermarking; blind watermark detection; digital audio sequences; frequency domain transformations; human auditory system; m-sequences; mean-removed cross-correlation; mp3 compression; signal processing attacks; spread-spectrum watermarking; temporal domain; temporal masking; uncompressed audio sequences; watermark data; watermarking embedding; watermarking extraction; Auditory system; Bit error rate; Data mining; Frequency domain analysis; Humans; Masking threshold; Robustness; Signal processing algorithms; Spread spectrum communication; Watermarking;
Conference_Titel :
Applications of Signal Processing to Audio and Acoustics, 2001 IEEE Workshop on the
Conference_Location :
New Platz, NY
Print_ISBN :
0-7803-7126-7
DOI :
10.1109/ASPAA.2001.969584