The cepstral analysis is the process of computing the [[cepstrum]] of a signal, the result of computing the inverse [[discrete Fourier transform (DFT)]] of the logarithm of the [[power spectrum]] of the signal. The main advantage of the cepstral analysis is that it separates the spectral envelope (which is related to the vocal tract characteristics) from the pitch information (which is related to the fundamental frequency of the voice). The cepstral analysis is robust to additive noise and signal distortion, making it useful for analyzing signals in noisy environments and can be used for analyzing a wide range of signals beyond speech, including music, biomedical signals, and seismic data.