Cepstrum Separates Spectral Envelope and Fundamental Frequency Spectrum

When multiple signals are superimposed, cepstrum analysis can detect their fundamental frequencies. While primarily used in homomorphic filtering for signal deconvolution, cepstrum analysis - particularly for voice signals - effectively separates spectral envelopes from fundamental frequency spectra. Implementations typically involve Fourier transforms, logarithmic operations, and inverse transforms to extract vocal tract characteristics and excitation components.

Extracting Speech Signal Fundamental Frequency Using Autocorrelation Method

Implementation of fundamental frequency extraction using autocorrelation method with center-clipping technique for signal preprocessing, providing a reference implementation approach.