SPEECH STEGANALYSIS USING CHAOTIC−TYPE FEATURES (ThuAmPO2)
نویسندگان
چکیده
In this paper, we investigate chaotic−type features for universal speech steganalysis. These features are used in the design of linear regression classifier. The steganalyzer is tested on watermarking and steganographic methods. Experimental results show the potential of chaotic−type features for their discriminatory power to be used in steganalysis. We believe that the integration of chaotic−type features with linear ones may capture both linear and non−linear aspects of speech signals leading to robust and efficient hybrid steganalyzers.
منابع مشابه
بهبود عملکرد سیستم بازشناسی گفتار پیوسته بوسیله ویژگی‌های استخراج شده از مانیفولدهای گفتاری در فضای بازسازی شده فاز
The design for new feature extraction methods out of the speech signal and combination of their obtained information is one of the most effective approaches to improve the performance of automatic speech recognition (ASR) system. Recent researches have been shown that the speech signal contains nonlinear and chaotic properties, but the effects of these properties are not used in the continuous ...
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