NOISE ROBUST FORMANT FREQUENCY ESTIMATION BASED ON COMPLEX AUTOCORRELATION FUNCTION

  • Diankha, Ousmane (Department of Information and Computer Sciences Saitama University) ;
  • Shimamura, Tetsuya (Department of Information and Computer Sciences Saitama University)
  • 발행 : 2002.07.01

초록

This paper proposes an improved method for formant frequencies estimation based on the complex autocorrelation function of the speech signal. Instead of using the incoming signal as an input fur the LPC analysis, the analytic signal of the autocorrelation function of the speech signal is computed and itself used as an input for the LPC analysis. Due to the properties of the analytic signal, which occupies half of the bandwidth of the original signal, the required model order for the LPC analysis is halved. The accuracy of the proposed method in noisy environments is examined on five natural vowels. The effectiveness of the proposed method is shown by the estimated spectral shapes and the estimation errors of the formant frequencies.

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