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gender recognition using speech processing techniques in ... - IJAET

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International Journal of Advances <strong>in</strong> Eng<strong>in</strong>eer<strong>in</strong>g & Technology, May 2011.©<strong>IJAET</strong> ISSN: 2231-1963Figure 1. Flowchart of Algorithm used for Implementation <strong>in</strong> LabView.4.2. Us<strong>in</strong>g LabVIEW to Detect Formants and PitchSeveral methods can be used to detect formant tracks and pitch contour. The most popular methodhowever is the L<strong>in</strong>ear Prediction Cod<strong>in</strong>g (LPC) method. This method applies an all-pole model tosimulate the vocal tract.Figure 2. Flow chart of formant detection with the LPC methodApply<strong>in</strong>g the w<strong>in</strong>dow w(n) breaks the source signal s(n) <strong>in</strong>to signal blocks x(n). Each signal blockx(n) estimates the coefficients of an all-pole vocal tract model by <strong>us<strong>in</strong>g</strong> the LPC method. Aftercalculat<strong>in</strong>g the discrete Fourier transform (DFT) on the coefficients A(z), the peak detection of 1/A(k)produces the formants.Figure 3.Flow chart of pitch detection with the LPC methodThis method uses <strong>in</strong>verse filter<strong>in</strong>g to separate the excitation signal from the vocal tract and uses thereal cepstrum signal to detect the pitch. The source signal s(n) first goes through a low pass filter(LPF), and then breaks <strong>in</strong>to signal blocks x(n) by apply<strong>in</strong>g a w<strong>in</strong>dow w(n). Each signal block x(n)estimates the coefficients of an all-pole vocal tract model by <strong>us<strong>in</strong>g</strong> the LPC method. These coefficients<strong>in</strong>versely filter x(n). The result<strong>in</strong>g residual signal e(n) passes through a system which calculates thereal cepstrum. F<strong>in</strong>ally, the peaks of the real cepstrum calculate the pitch.56 Vol. 1,Issue 2,pp.51-63

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