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Applications of Surface Correlation to the Estimation of the Harmonic Fundamental of Speech

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Abstract

We present a method for estimating the fundamental frequency of harmonic signals, and apply this method to human speech. The method is based on cross-spectral methods, which provide accurate resolution of multicomponent FM signals in both time and frequency. The fundamental is re-introduced to the spectrum by a frequency-lag autocorrelation of the spectrum, even if the fundamental is completely missing in the original spectrum. By combining the different perspectives of the Fourier spectral representation and the time-lag autocorrelation function we suppress all components of harmonic signals except for the fundamental.

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Correspondence to Douglas J. Nelson.

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Nelson, D.J. Applications of Surface Correlation to the Estimation of the Harmonic Fundamental of Speech. EURASIP J. Adv. Signal Process. 2002, 897271 (2002) doi:10.1155/S1110865702000471

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Keywords

  • cross-spectrum
  • phase spectrum
  • STFT
  • Fourier transform
  • speech
  • formant recovery
  • equalization