Watermarking of audio signals using independent component analysis

Boremi Toch, David Lowe, David Saad

Research output: Chapter in Book/Published conference outputChapter


A novel approach to watermarking of audio signals using Independent Component Analysis (ICA) is proposed. It exploits the statistical independence of components obtained by practical ICA algorithms to provide a robust watermarking scheme with high information rate and low distortion. Numerical simulations have been performed on audio signals, showing good robustness of the watermark against common attacks with unnoticeable distortion, even for high information rates. An important aspect of the method is its domain independence: it can be used to hide information in other types of data, with minor technical adaptations.
Original languageEnglish
Title of host publicationProceedings of Third International Conference on Web Delivering of Music, 2003
Number of pages4
ISBN (Print)0769519350
Publication statusPublished - 17 Sept 2003
EventThird International Conference on WEB Delivering of Music -
Duration: 17 Sept 200317 Sept 2003


ConferenceThird International Conference on WEB Delivering of Music

Bibliographical note

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  • Independent Component Analysis (ICA)
  • watermarking
  • Numerical simulations


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