Steganography is an art and science of information hiding. Text, audio and image files are usually used as cover data. Then, a secret message is embedded into these cover data that no one knows about it except sender and receiver. Mostly used methods for audio steganography are based on Least Significant Bit (LSB) method and its derivatives in the literature. Steganalysis is a methodology of detecting messages hidden using steganography. In this paper, a visual steganalysis method has been proposed. Secret text messages can be detected by using frequency domain characteristics of stego audio data which contain text messages. Experimental results show that if stego object contains text messages and it is encoded by LSB or its varieties, some remarkable changes can be observed in frequency domain characteristics and its spectrogram. Thanks to exploring these frequency domain characteristics of stego objects, steganalysis (stego text detection) on audio data can be visually realized.
There are many methods proposed for the detection of impulsive sounds in literature. Most of them are complex and require adaptation to ambient noise. In this paper we propose a very simple and efficient method to de tect impulsive sounds. Although we use energy like most of the others to determine impulsive sounds, the way we calculate the energy is quite different. Also our calculation is immune to ambient noise and does not require any limit or adaptation. We could detect impulsive sounds embedded in various kinds of noises by using this formula.As our ultimate aim is to detect gunshots, next phase of impulsive sound detection is gunshot recognition phase. Detected impulsive sounds are fed into recognition phase in which we can decide on gunshots with high success rate.
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