Digital audio and speech watermarking based on the multiple discrete wavelets transform and singular value decomposition
The ever-increasing illegal manipulation of genuine audio products has been a dilemma for the music industry. This situation calls for immediate, yet effective, solutions to avoid further financial losses and intellectual property violations. Audio and speech watermarking has been proposed as a poss...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2012
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| Online Access: | http://psasir.upm.edu.my/id/eprint/41168/ http://psasir.upm.edu.my/id/eprint/41168/1/Digital%20audio%20and%20speech%20watermarking%20based%20on%20the%20multiple%20discrete%20wavelets%20transform%20and%20singular%20value%20decomposition.pdf |
| _version_ | 1848849623054024704 |
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| author | Nematollahi, Mohammad Ali Syed Mohamed, Syed Abdul Rahman Al-Haddad C. Doraisamy, Shyamala Saripan, M. Iqbal |
| author_facet | Nematollahi, Mohammad Ali Syed Mohamed, Syed Abdul Rahman Al-Haddad C. Doraisamy, Shyamala Saripan, M. Iqbal |
| author_sort | Nematollahi, Mohammad Ali |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | The ever-increasing illegal manipulation of genuine audio products has been a dilemma for the music industry. This situation calls for immediate, yet effective, solutions to avoid further financial losses and intellectual property violations. Audio and speech watermarking has been proposed as a possible solution, since this technology embeds copyright information into audio files as a proof of their ownership. In this paper, we propose an effective, robust, and an inaudible audio and speech watermarking algorithm. The effectiveness of the algorithm has been brought by virtue of applying a cascade of two powerful mathematical transforms; the discrete wavelets transform (DWT) and the singular value decomposition (SVD). Experimental results will be presented in this paper to demonstrate the effectiveness of the proposed algorithm. |
| first_indexed | 2025-11-15T09:53:20Z |
| format | Conference or Workshop Item |
| id | upm-41168 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T09:53:20Z |
| publishDate | 2012 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-411682017-07-19T02:08:02Z http://psasir.upm.edu.my/id/eprint/41168/ Digital audio and speech watermarking based on the multiple discrete wavelets transform and singular value decomposition Nematollahi, Mohammad Ali Syed Mohamed, Syed Abdul Rahman Al-Haddad C. Doraisamy, Shyamala Saripan, M. Iqbal The ever-increasing illegal manipulation of genuine audio products has been a dilemma for the music industry. This situation calls for immediate, yet effective, solutions to avoid further financial losses and intellectual property violations. Audio and speech watermarking has been proposed as a possible solution, since this technology embeds copyright information into audio files as a proof of their ownership. In this paper, we propose an effective, robust, and an inaudible audio and speech watermarking algorithm. The effectiveness of the algorithm has been brought by virtue of applying a cascade of two powerful mathematical transforms; the discrete wavelets transform (DWT) and the singular value decomposition (SVD). Experimental results will be presented in this paper to demonstrate the effectiveness of the proposed algorithm. IEEE 2012 Conference or Workshop Item NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/41168/1/Digital%20audio%20and%20speech%20watermarking%20based%20on%20the%20multiple%20discrete%20wavelets%20transform%20and%20singular%20value%20decomposition.pdf Nematollahi, Mohammad Ali and Syed Mohamed, Syed Abdul Rahman Al-Haddad and C. Doraisamy, Shyamala and Saripan, M. Iqbal (2012) Digital audio and speech watermarking based on the multiple discrete wavelets transform and singular value decomposition. In: 2012 Sixth Asia Modelling Symposium, 29-31 May 2012, Bali, Indonesia. (pp. 109-114). 10.1109/AMS.2012.54 |
| spellingShingle | Nematollahi, Mohammad Ali Syed Mohamed, Syed Abdul Rahman Al-Haddad C. Doraisamy, Shyamala Saripan, M. Iqbal Digital audio and speech watermarking based on the multiple discrete wavelets transform and singular value decomposition |
| title | Digital audio and speech watermarking based on the multiple discrete wavelets transform and singular value decomposition |
| title_full | Digital audio and speech watermarking based on the multiple discrete wavelets transform and singular value decomposition |
| title_fullStr | Digital audio and speech watermarking based on the multiple discrete wavelets transform and singular value decomposition |
| title_full_unstemmed | Digital audio and speech watermarking based on the multiple discrete wavelets transform and singular value decomposition |
| title_short | Digital audio and speech watermarking based on the multiple discrete wavelets transform and singular value decomposition |
| title_sort | digital audio and speech watermarking based on the multiple discrete wavelets transform and singular value decomposition |
| url | http://psasir.upm.edu.my/id/eprint/41168/ http://psasir.upm.edu.my/id/eprint/41168/ http://psasir.upm.edu.my/id/eprint/41168/1/Digital%20audio%20and%20speech%20watermarking%20based%20on%20the%20multiple%20discrete%20wavelets%20transform%20and%20singular%20value%20decomposition.pdf |