Applications of surface correlation to the estimation of the harmonic fundamental of speech

Authors:
Douglas J. Nelson
Affiliations:
U.S. Department of Defense, Ft. Meade, MD
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2002

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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.