%0 Journal Article
%T Applications of Surface Correlation to the Estimation of the Harmonic Fundamental of Speech
%A Douglas J. Nelson
%J EURASIP Journal on Advances in Signal Processing
%D 2002
%I Springer
%R 10.1155/s1687617202000471
%X 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.
%K cross-spectrum
%K phase spectrum
%K STFT
%K Fourier transform
%K speech
%K formant recovery
%K equalization.
%U http://dx.doi.org/10.1155/S1110865702000471