Estimating the Closeness of Known and Unknown Speech Signal Using MATLAB
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

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Review Papers | Electronics & Communication Engineering | India | Volume 3 Issue 7, July 2014

Estimating the Closeness of Known and Unknown Speech Signal Using MATLAB

Shivayogi G K, Asha K S

In todays world implementation of any expert system with maximum data and networking security becomes a real necessity in academic organizations as well as industrial communities. In this paper, an expert security system is developed using speech recognition technology. A human can easily recognize a familiar voice however; getting a computer to distinguish a particular voice among others is a more difficult task. This paper describes the process behind implementing a speaker recognition algorithm in MATLAB. The algorithm utilizes the Discrete Fourier Transform in order to compare the frequency spectra of two voices. A plot is then generated depicting how the normalized frequency spectra in your voice and compare to the average normal vector of voice data. The algorithm makes a comparison and displays in the command window YOU ARE NOT!!!! if you do not fall within 2 standard deviation of the normal average voice. If you do happen to fall within 2 standard deviation, then the command window displays HELLO!!!

Keywords: Speech Recognition Technology, Discrete Fourier Transform, spectra, secure system

Edition: Volume 3 Issue 7, July 2014

Pages: 1382 - 1385

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How to Cite this Article?

Shivayogi G K, Asha K S, "Estimating the Closeness of Known and Unknown Speech Signal Using MATLAB", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=20141270, Volume 3 Issue 7, July 2014, 1382 - 1385

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