Steganography is the science that deals with conveying secret information by embedding into the cover object invisibly. In steganography, only the authorized party is aware of the existence of the hidden message to achieve secret communication. The image file is mostly used cover medium amongst various digital files such as image, text, audio and video. The proposed idea of this research work is to develop the robust image steganography. It is implemented using Least Significant Bit and Discrete Wavelet Transform techniques for digital image signal to improve the robustness & evaluate the performance of these algorithms. The parameters such as mean square error (MSE), bit error rate (BER), peak signal to noise ratio (PSNR) and processing time are considered here to evaluate the performance of the proposed work. In the proposed system, PSNR and MSE value ranges from 42 to 46 dB and 1.5 to 3.5 for LSB method respectively. For DWT method these results are further improved as it gives higher PSNR values between 49 to 57 dB and lower MSE values 0.2 to 0.7.
The primary objective of this paper is to provide an overview of existing Concatenative Text-To-Speech synthesis techniques. Concatenative speech synthesis can be broadly categorized into three categories, Diphone Based, Corpus based and Hybrid. Diphone based speech synthesis relies on different signal processing techniques such as PSOLA, FD-PSOLA etc. These signal processing techniques introduce unwanted artifacts in the synthesized speech. The most popularly used method is the Unit selection synthesis which is a corpus based synthesis method. This method produces the most natural sounding synthetic speech.
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