In speech processing we generally use the real cepstrum which is obtained by applying an inverse Fourier Transform of the log- spectrum of the signal.
MAXIMUM-LIKELIHOOD-BASED CEPSTRAL INVERSE FILTERING. FOR BLIND SPEECH DEREVERBERATION. Kshitiz Kumar1 and Richard M. Stern12.
to invert MFCCs for use in speech enhancement applications. Results for cepstral inversion is evaluated on the TIMIT speech.
to invert MFCCs for use in speech enhancement applications. Results for cepstral inversion is evaluated on the TIMIT speech.
The complex cepstrum x[n]
The cepstrum and the auto-corre- lation are closely related. The main difference is that the inverse FFT is performed on the logarithm of the power spectrum as
The cepstrum is defined as the inverse DFT of the log magnitude of the. DFT of a signal For a windowed frame of speech the cepstrum is.
be easily obtained by filtering in the pseudo-frequency domain. In summary after taking the inverse z-transform and obtaining the power cepstrum
Let x(t) be a time signal and Fx(?) its Fourier transform; by definition the complex cepstrum Cx(t) is the inverse Fourier transform denoted F-1
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