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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my.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 |
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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. |
format |
Article |
author |
Nematollahi, Mohammad Ali Akhaee, Mohammad Ali Syed Mohamed, Syed Abdul Rahman Al-Haddad Rosales, Hamurabi Gamboa |
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 |
author_facet |
Nematollahi, Mohammad Ali Akhaee, Mohammad Ali Syed Mohamed, Syed Abdul Rahman Al-Haddad Rosales, Hamurabi Gamboa |
author_sort |
Nematollahi, Mohammad Ali |
title |
Semi-fragile digital speech watermarking for online speaker recognition |
title_short |
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_sort |
semi-fragile digital speech watermarking for online speaker recognition |
publisher |
Springer |
publishDate |
2015 |
url |
http://psasir.upm.edu.my/id/eprint/56565/1/56565.pdf http://psasir.upm.edu.my/id/eprint/56565/ https://rd.springer.com/article/10.1186/s13636-015-0074-5 |
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