Robust digital speech watermarking for online speaker recognition

A robust and blind digital speech watermarking technique has been proposed for online speaker recognition systems based on Discrete Wavelet Packet Transform (DWPT) and multiplication to embed the watermark in the amplitudes of the wavelet's subbands. In order to minimize the degradation effect...

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Main Authors: Nematollahi, Mohammad Ali, Rosales, Hamurabi Gamboa, Akhaee, Mohammad Ali, Syed Mohamed, Syed Abdul Rahman Al-Haddad
Format: Article
Language:English
Published: Hindawi Publishing Corporation 2015
Online Access:http://psasir.upm.edu.my/id/eprint/56564/1/56564.pdf
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author Nematollahi, Mohammad Ali
Rosales, Hamurabi Gamboa
Akhaee, Mohammad Ali
Syed Mohamed, Syed Abdul Rahman Al-Haddad
author_facet Nematollahi, Mohammad Ali
Rosales, Hamurabi Gamboa
Akhaee, Mohammad Ali
Syed Mohamed, Syed Abdul Rahman Al-Haddad
author_sort Nematollahi, Mohammad Ali
collection UPM
description A robust and blind digital speech watermarking technique has been proposed for online speaker recognition systems based on Discrete Wavelet Packet Transform (DWPT) and multiplication to embed the watermark in the amplitudes of the wavelet's subbands. In order to minimize the degradation effect of the watermark, these subbands are selected where less speaker-specific information was available (500 Hz-3500 Hz and 6000 Hz-7000 Hz). Experimental results on Texas Instruments Massachusetts Institute of Technology (TIMIT), Massachusetts Institute of Technology (MIT), and Mobile Biometry (MOBIO) show that the degradation for speaker verification and identification is 1.16% and 2.52%, respectively. Furthermore, the proposed watermark technique can provide enough robustness against different signal processing attacks.
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spelling upm.eprints-565642017-08-03T04:04:30Z http://psasir.upm.edu.my/id/eprint/56564/ Robust digital speech watermarking for online speaker recognition Nematollahi, Mohammad Ali Rosales, Hamurabi Gamboa Akhaee, Mohammad Ali Syed Mohamed, Syed Abdul Rahman Al-Haddad A robust and blind digital speech watermarking technique has been proposed for online speaker recognition systems based on Discrete Wavelet Packet Transform (DWPT) and multiplication to embed the watermark in the amplitudes of the wavelet's subbands. In order to minimize the degradation effect of the watermark, these subbands are selected where less speaker-specific information was available (500 Hz-3500 Hz and 6000 Hz-7000 Hz). Experimental results on Texas Instruments Massachusetts Institute of Technology (TIMIT), Massachusetts Institute of Technology (MIT), and Mobile Biometry (MOBIO) show that the degradation for speaker verification and identification is 1.16% and 2.52%, respectively. Furthermore, the proposed watermark technique can provide enough robustness against different signal processing attacks. Hindawi Publishing Corporation 2015 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/56564/1/56564.pdf Nematollahi, Mohammad Ali and Rosales, Hamurabi Gamboa and Akhaee, Mohammad Ali and Syed Mohamed, Syed Abdul Rahman Al-Haddad (2015) Robust digital speech watermarking for online speaker recognition. Mathematical Problems in Engineering, 2015. art. no. 372398. pp. 1-12. ISSN 1024-123X; ESSN: 1563-5147 https://www.hindawi.com/journals/mpe/2015/372398/abs/ 10.1155/2015/372398
spellingShingle Nematollahi, Mohammad Ali
Rosales, Hamurabi Gamboa
Akhaee, Mohammad Ali
Syed Mohamed, Syed Abdul Rahman Al-Haddad
Robust digital speech watermarking for online speaker recognition
title Robust digital speech watermarking for online speaker recognition
title_full Robust digital speech watermarking for online speaker recognition
title_fullStr Robust digital speech watermarking for online speaker recognition
title_full_unstemmed Robust digital speech watermarking for online speaker recognition
title_short Robust digital speech watermarking for online speaker recognition
title_sort robust digital speech watermarking for online speaker recognition
url http://psasir.upm.edu.my/id/eprint/56564/1/56564.pdf
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