cepstrum


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cepstrum

[′sep·trəm]
(acoustics)
The Fourier transform of the logarithm of a speech power spectrum; used to separate vocal tract information from pitch excitation in voiced speech.

cepstrum

(mathematics)
(Coined in a 1963 paper by Bogert, Healey, and Tukey) The Fourier transform of the log-magnitude spectrum:

fFt(ln( | fFt(window . signal) | ))

This function is used in speech recognition and possibly elsewhere. Note that the outer transform is NOT an inverse Fourier transform (as reported in many respectable DSP texts).

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References in periodicals archive ?
The method is based on properties of the cepstrum domain, described in the chapters to come.
The performance of the latent image is evaluated by gradient cepstrum analysis.
Based on the characteristics of the Android system, this paper selected the MEL cepstrum coefficient as the feature parameters to speech recognition, and introduced the dynamic time neat algorithm as the matching algorithm of the speech recognition pattern to make speech recognition more suitable for mobile Internet devices.
During the coding procedure 39 coefficients for each signal frame were computed consisting of 12 Mel-frequency cepstrum coefficients (MFCC) and the energy plus the delta coefficients and the acceleration coefficients [5].
MFCC is an acronym for Mel Frequency Cepstrum Coefficient (MFCC), which is based on human auditory properties and is nonlinearly related to Hz frequency.
[13] extracted once again the features of spectrogram by using convolutional deep belief networks, and all of the results derived from use of extracted features to multiple voice recognition tasks are superior to the ones of the system which recognizes by taking Mel frequency cepstrum coefficient directly as a feature.
[25] investigated melfrequency cepstrum coefficients (MFCC) and found that the recognition performance was statistically significant for depression classification.
We compare linear prediction cepstrum coefficient (LPCC) with Mel frequency cepstrum coefficient (MFCC) and select MFCC as a feature parameter because it requires less calculation and more convenient to implement.
Zhu, "Feature extraction of underwater target signal using Mel frequency cepstrum coefficients based on acoustic vector sensor," Journal of Sensors, vol.
Patnaik, "State Transition Based Embedding in Cepstrum Domain for Audio Copyright Protection," IETE Journal of Research, vol.
Los metodos mas explorados son los espectrales, en los cuales se realizan transformaciones basadas en la transformada de Fourier para mejorar la deteccion de la frecuencia fundamental, tales como las funciones de retardo de grupo, la transformada Cepstrum, la transformada Chirplet polinomica y la transformada Hilbert-Huang.
Second, Cepstral Analysis, which includes Power Cepstrum ([8] Ho, et al 1999 and [9] Randall, et al 1987), Minimum Variance Cepstrum ([10] Choi and Kim 2007) etc., is used for the detection of fault periods in the quefrency domain.