The spectral envelope obtained by cepstral windowing is defined as
where is a lowpass-window in the cepstral domain. A simple but commonly used lowpass-window is given by
where denotes the lowpass ``cut-off'' sample.
Cepstral coefficients are typically used in speech recognition to characterize spectral envelopes, capturing primarily the formants (spectral resonances) of speech . In audio applications, a warped frequency axis, such as the ERB scale (Appendix E), Bark scale, or Mel frequency scale is typically preferred. Mel Frequency Cepstral Coefficients (MFCC) appear to remain quite standard in speech-recognition front ends, and they are often used to characterize steady-state spectral timbre in Music Information Retrieval (MIR) applications.
Linear Prediction Spectral Envelope
References on Estimation