Semi-fragile digital speech watermarking for online speaker recognition

In this paper, a semi-fragile and blind digital speech watermarking technique for online speaker recognition systems based on the discrete wavelet packet transform (DWPT) and quantization index modulation (QIM) has been proposed that enables embedding of the watermark within an angle of the wavelet’...

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Main Authors: Nematollahi, Mohammad Ali, Akhaee, Mohammad Ali, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Rosales, Hamurabi Gamboa
Format: Article
Language:English
Published: Springer 2015
Online Access:http://psasir.upm.edu.my/id/eprint/56565/1/56565.pdf
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author Nematollahi, Mohammad Ali
Akhaee, Mohammad Ali
Syed Mohamed, Syed Abdul Rahman Al-Haddad
Rosales, Hamurabi Gamboa
author_facet Nematollahi, Mohammad Ali
Akhaee, Mohammad Ali
Syed Mohamed, Syed Abdul Rahman Al-Haddad
Rosales, Hamurabi Gamboa
author_sort Nematollahi, Mohammad Ali
collection UPM
description In this paper, a semi-fragile and blind digital speech watermarking technique for online speaker recognition systems based on the discrete wavelet packet transform (DWPT) and quantization index modulation (QIM) has been proposed that enables embedding of the watermark within an angle of the wavelet’s sub-bands. To minimize the degradation effects of the watermark, these sub-bands were selected from frequency ranges where little speaker-specific information was available (500–3500 Hz and 6000–7000 Hz). Experimental results on the TIMIT, MIT, and MOBIO speech databases show that the degradation results for speaker verification and identification are 0.39 and 0.97 %, respectively, which are negligible. In addition, the proposed watermark technique can provide the appropriate fragility required for different signal processing operations.
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spelling upm.eprints-565652017-08-03T04:04:32Z http://psasir.upm.edu.my/id/eprint/56565/ Semi-fragile digital speech watermarking for online speaker recognition Nematollahi, Mohammad Ali Akhaee, Mohammad Ali Syed Mohamed, Syed Abdul Rahman Al-Haddad Rosales, Hamurabi Gamboa In this paper, a semi-fragile and blind digital speech watermarking technique for online speaker recognition systems based on the discrete wavelet packet transform (DWPT) and quantization index modulation (QIM) has been proposed that enables embedding of the watermark within an angle of the wavelet’s sub-bands. To minimize the degradation effects of the watermark, these sub-bands were selected from frequency ranges where little speaker-specific information was available (500–3500 Hz and 6000–7000 Hz). Experimental results on the TIMIT, MIT, and MOBIO speech databases show that the degradation results for speaker verification and identification are 0.39 and 0.97 %, respectively, which are negligible. In addition, the proposed watermark technique can provide the appropriate fragility required for different signal processing operations. Springer 2015 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/56565/1/56565.pdf Nematollahi, Mohammad Ali and Akhaee, Mohammad Ali and Syed Mohamed, Syed Abdul Rahman Al-Haddad and Rosales, Hamurabi Gamboa (2015) Semi-fragile digital speech watermarking for online speaker recognition. EURASIP Journal on Audio, Speech, and Music Processing, 2015 (1). art. no. 31. pp. 1-15. ISSN 1687-4722 https://rd.springer.com/article/10.1186/s13636-015-0074-5 10.1186/s13636-015-0074-5
spellingShingle Nematollahi, Mohammad Ali
Akhaee, Mohammad Ali
Syed Mohamed, Syed Abdul Rahman Al-Haddad
Rosales, Hamurabi Gamboa
Semi-fragile digital speech watermarking for online speaker recognition
title Semi-fragile digital speech watermarking for online speaker recognition
title_full Semi-fragile digital speech watermarking for online speaker recognition
title_fullStr Semi-fragile digital speech watermarking for online speaker recognition
title_full_unstemmed Semi-fragile digital speech watermarking for online speaker recognition
title_short Semi-fragile digital speech watermarking for online speaker recognition
title_sort semi fragile digital speech watermarking for online speaker recognition
url http://psasir.upm.edu.my/id/eprint/56565/1/56565.pdf
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