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 ?
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.
ECG feature extraction and classification using cepstrum and neural networks,' Journal of Medical Biol.
People who talk fast can have their voices modulated by Cepstrum Normalization to prevent performance reductions in voice recognition technology [10].
We will point that cepstrum analysis is at least as powerful as other methods.
02; en el calculo del cepstrum fue utilizado el software Lingwaves con una simple analysis window de 1024.
Estudos tem mostrado que a fonacao em tubos melhora a atividade dos musculos intrinsecos da laringe [3]; ocasiona mudancas no trato vocal [4,12] resulta em autopercepcoes vocais positivas [1,10,13,14]; aumenta a quantidade de harmonicos; diminui o padrao laringeo hiperfuncional, visualizado a partir de nasolaringofibroscopia [8]; e melhora os parametros Cepstrum e Jitter (medidas de perturbacao de frequencia) e proporcao harmonico-ruido (PHR) [14].
Other studies using, for instance, Glottal Flow Cepstrum Coefficients [13] and vocal source model [14] were experimentally tested in the case of speaker recognition.
Due to the fact that the cepstrum represents the inverse transform of the frequency domain, the "frecuency" is a variable on a pseudotemporal domain.
It first extracted the mel frequency cepstrum coefficients with a feature dimension reduction and then used the support vector data description as an early anomaly detector.
Cepstrum analysis, typically used for detection and analysis of bearing vibrations and gear faults in gearboxes.
En este sentido los coeficientes LPC (del ingles, "Linear Prediction Coding") y Cepstrum, con sus asociados respectivos, son las caracteristicas mas usadas en el reconocimiento, siendo los ultimos los mas estables entre las pronunciaciones repetidas de una misma persona [8].