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’...

Full description

Saved in:
Bibliographic Details
Published in:EURASIP journal on audio, speech, and music processing speech, and music processing, 2015-10, Vol.2015 (1), p.1, Article 31
Main Authors: Nematollahi, Mohammad Ali, Akhaee, Mohammad Ali, Al-Haddad, S. A. R., Gamboa-Rosales, Hamurabi
Format: Article
Language:English
Subjects:
Acoustics
Engineering
Engineering Acoustics
Mathematics in Music
Signal,Image and Speech Processing
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1687-4722
1687-4714
1687-4722
DOI:10.1186/s13636-015-0074-5