Robust Digital Speech Watermarking For Online Speaker Recognition

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.

International Journal of Electronics and Telecommunications

“…To measure the imperceptibility of the proposed work metric SNR is calculated based on the Equation (10) shown below.…”

“…In this paper, watermark is embedded within an angle of the wavelet's subbands. Same authors in [10], proposed a robust speech watermarking technique based on DWPT. Here watermark embeds in the amplitudes of the wavelet's sub-band.…”

Optimization of a Blind Speech Watermarking Technique against Amplitude Scaling

“…Generally, speech watermarking should preserve the identity of the speaker, which is important for certain security applications [12,13]. To preserve speaker-specific information, some investigations have been conducted to embed the watermark into special frequency subbands that have less speaker-specific information [5,14,15]. Further discussion can be found in [16].…”