The Analysis of the Efficiency of Polya Rational Parametric Interpolation Kernel in Estimating the Fundamental Frequency of the Speech Signal

Authors

  • Nataša Savić College of Applied Technical Sciences Niš, Serbia
  • Zoran Milivojević College of Applied Technical Sciences Niš, Serbia
  • Vidoje Moračanin Faculty of Mathematics and Computer Science Belgrade, Serbia

Keywords:

Fundamental frequency, Interpolation, Interpolation kernel, Polya function

Abstract

The paper describes Polya frequency functions, and the construction of Polya rational parametric interpolation kernel. The paper also provides the results of the estimation of fundamental frequency of speech signal obtained by applying the convolution interpolation algorithm with an implemented Polya rational parametric kernel. The analysis of the estimation of fundamental frequency was performed on a speech signal superimposed by AWGN when SNR=0-50 dB. In the processing of a signal in time domain some common window functions were applied. Then, MSE was used as a measurement of the quality of estimation to determine the optimum values
of Polya interpolation kernel parameter. A comparative analysis was performed with the results of the estimate of the fundamental frequency by using the Keys oneparameter, quadratic and Polya quasi-rational kernel.

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Published

22.03.2023

Issue

Vol. 21 No. 1 (2015)

Section

Articles

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