Implementation of Audio Watermarking algorithm based on embedding strategy in high frequency sub-band with binary sequence using DWT-FFT
- P.G. student (Electronics Engg.) from Bharati Vidyapeeth Deemed University College of Engineering, Pune.
- Assistant Professor (Electronics Engg.), Bharati Vidyapeeth Deemed University College of Engineering, Pune.
- Professor, Bharati Vidyapeeth Deemed University College of Engineering, Pune.
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This paper deals with the new method based on Discrete Wavelet Transforms (DWT) and Fast Fourier Transform (FFT) to secure audio communication. The separation of HF band and LF band of original audio signal is obtained using DWT. Additionally FFT is applied to HF subband and the digital watermark is embedded into magnitude spectrum of FFT. The experimental evaluation of the proposed algorithm is done using Signal to Noise Ratio (SNR), Bit Error Rate (BER) and Normalized Correlation (NC) which involves robustness and imperceptibility. This method offers promising result against different attacks such as volume scaling, resampling, requantization, low pass filtering, echo addition, additive white gaussian noise (AWGN), etc.
[Shelke Sheetal V., Mangal Patil and J.S.Chitode (2016); Implementation of Audio Watermarking algorithm based on embedding strategy in high frequency sub-band with binary sequence using DWT-FFT Int. J. of Adv. Res. 4 (Sep). 1377-1383] (ISSN 2320-5407). www.journalijar.com
