Because of the flexibility of Internet technology, concerns regarding the security of digital data have arisen. The art of masking crucial data in digital audio is known as digital audio watermarking. This study discusses a new methodology for improving the resilience of the Digital Audio Watermarking technique, which is based on the Discrete Wavelet Transform (DWT) and singular value decomposition (SVD). Objectives: Using subjective and objective measures, create an audio watermarking method in the transform domain and improve the performance of the proposed technique against common signal processing attacks such as filtering, introducing noise, resampling, re-quantization, and volume scaling. Findings: Multiple watermarks (Image -64 X 64 pixels and text) are encoded in the estimated coefficients of the Discrete Wavelet Transform of an audio signal in this approach. For decomposition, the Haar wavelet is utilised, and SVD is used to obtain the Eigen values of the estimated coefficients of the audio signal. Experiments show that watermarked audio has the same perceptual quality as unwatermarked audio. Objective measurements such as Signal to Noise ratio, Peak signal to Noise ratio, Bit error rate, Normalized Cross correlation, and others are used to assess the proposed work's performance. Furthermore, simulation findings on audio signals show that the proposed scheme's capacity is significantly higher than that of existing watermarking approaches. Furthermore, the suggested approach is tested against various attacks using diverse audio signals such as classical, instrumental, flute, pop, and rock.
Author (S) Details
Mangal Patil
Department of Electronics and Communication Engineering Bharati Vidyapeeth Deemed to be University College of Engineering BVDUCOE, Dhanakwadi, Pune, Maharashtra, India.
J. S. Chitode
Department of Electronics and Communication Engineering Bharati Vidyapeeth Deemed to be University College of Engineering BVDUCOE, Dhanakwadi, Pune, Maharashtra, India..
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