Abstract—In this paper titled: “Automatic Voice Signal Detection (AVSD)”, is a technique which identify constitutional and unconstitutional voice signal automatically. AVSD is performed on the basis of frequency content of voice signal for several samples of the same sound. An underline purpose of this paper is to investigate automatically fake voice signal in the security system. Frequency content is mapped to the frequency domain by computing its DFT using the FFT algorithm. The voice signal detection algorithm is formulated by continually computing the difference of the absolute average of two adjacent voice windows, and comparing it to a predefined threshold.
Index Terms—Algorithm, Frequency Content, Threshold, FFT, Window
Shiv Kumar is an Asst. Professor, Department of Information Technology at Technocrat Institute of Technology-Bhopal (M.P.)-462021, India (Mobile No.: +91-9669981618, E-mail: shivksahu@rediffmail.com, website: www.shivksahu.webs.com).
Prof. Aditya Shastri is Vice Chancellor of Banasthali University, Tonk (Rajasthan)-304022, India (Phone: +91-1438-228373, 228787, E-mail: adityashastri@yahoo.com).
Prof. R.K. Singh is Vice Chancellor of ITM University, Gurgaon (Haryana), India (Phone: +91-124-2365811, 2365812, E-mail: vcrks@rediffmail.com).
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Cite: Shiv Kumar, Aditya Shastri, and R.K. Singh, "An Approach for Automatic Voice Signal Detection (AVSD) Using Matlab,"
International Journal of Computer Theory and Engineering vol. 3, no. 2, pp. 240-247, 2011.
