Audio watermarking using time frequency compression expansion
A novel non-blind digital audio watermarking scheme using time-frequency based operations is presented. The digital audio samples are first segmented into frames and the frames are transformed into the frequency domain. Frequency components are then added or removed. The amplitude of the componen...
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sg-ntu-dr.10356-908352020-03-07T13:24:46Z Audio watermarking using time frequency compression expansion Foo, Say Wei Ho, Shuet Mun Ng, Ling Mei School of Electrical and Electronic Engineering IEEE International Symposium on Circuits and Systems (2004 : Vancouver, Canada) DRNTU::Engineering::Electrical and electronic engineering::Electronic systems A novel non-blind digital audio watermarking scheme using time-frequency based operations is presented. The digital audio samples are first segmented into frames and the frames are transformed into the frequency domain. Frequency components are then added or removed. The amplitude of the components added or removed are determined under the guidance of Psychoacoustic Model I. Inverse transform is then performed to restore it back to a time domain signal which is a lengthened (expanded) or shortened (compressed) version of the original. The expanded or compressed frames are then used to code the watermark to be embedded. Informal listening reveals that there is no perceptible distortion of the audio signal for suitably compressed or expanded segments. Recovery of watermark is perfect for signals not subjected to attacks. Experimental results also show a high degree of successful recovery of the signature that allows conclusive authentication of the owner even after filtering, cropping, MPEG compression, resampling and the addition of noise. Published version 2009-06-23T08:39:24Z 2019-12-06T17:54:54Z 2009-06-23T08:39:24Z 2019-12-06T17:54:54Z 2004 2004 Conference Paper Foo, S. W., Ho, S. M., & Ng, L. M. (2004). Audio watermarking using time frequency compression expansion. International Symposium on Circuits and Systems (pp. 201-204) 2004:Vancouver. https://hdl.handle.net/10356/90835 http://hdl.handle.net/10220/4667 10.1109/TSP.2007.893965 en ©2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. http://www.ieee.org/portal/site 4 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic systems Foo, Say Wei Ho, Shuet Mun Ng, Ling Mei Audio watermarking using time frequency compression expansion |
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A novel non-blind digital audio watermarking scheme using time-frequency based operations is presented. The digital audio samples are first segmented into frames and the frames are transformed into the frequency domain.
Frequency components are then added or removed. The amplitude of the components added or removed are determined under the guidance of Psychoacoustic Model I. Inverse transform is then performed to restore it back to a time domain signal which is a lengthened (expanded) or shortened (compressed) version of the original. The
expanded or compressed frames are then used to code the watermark to be embedded. Informal listening reveals that there is no perceptible distortion of the audio signal for suitably compressed or expanded segments. Recovery of watermark is perfect for signals not subjected to attacks.
Experimental results also show a high degree of successful recovery of the signature that allows conclusive authentication of the owner even after filtering, cropping,
MPEG compression, resampling and the addition of noise. |
author2 |
School of Electrical and Electronic Engineering |
author_facet |
School of Electrical and Electronic Engineering Foo, Say Wei Ho, Shuet Mun Ng, Ling Mei |
format |
Conference or Workshop Item |
author |
Foo, Say Wei Ho, Shuet Mun Ng, Ling Mei |
author_sort |
Foo, Say Wei |
title |
Audio watermarking using time frequency compression expansion |
title_short |
Audio watermarking using time frequency compression expansion |
title_full |
Audio watermarking using time frequency compression expansion |
title_fullStr |
Audio watermarking using time frequency compression expansion |
title_full_unstemmed |
Audio watermarking using time frequency compression expansion |
title_sort |
audio watermarking using time frequency compression expansion |
publishDate |
2009 |
url |
https://hdl.handle.net/10356/90835 http://hdl.handle.net/10220/4667 |
_version_ |
1681039598645411840 |