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Robust digital speech watermarking for online speaker recognition


Citation

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

Abstract

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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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1155/2015/372398
Publisher: Hindawi Publishing Corporation
Keywords: Online speaker recognition; Speech watermarking; Watermarking; Signal processing
Depositing User: Nabilah Mustapa
Date Deposited: 03 Aug 2017 04:04
Last Modified: 03 Aug 2017 04:04
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1155/2015/372398
URI: http://psasir.upm.edu.my/id/eprint/56564
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