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 ?
Loway, Grandstream, Cepstral, TeleDynamics, Easy on Hold, LumenVox, Algo, Global Convergence, Obhihai, Matrix, Imecom and SNOM.
Mel Frequency Cepstral Coefficients (MFCCs) are a feature widely used in automatic speech and speaker recognition.
We used 24 triangular filters and 12 cepstral coefficients, excluding the 13th coefficient.
Nevertheless, the adaptation techniques in feature space, such as cepstral mean and variance normalization, vocal tract length normalization (Jakovljevic et.
Many disparate methods of EMG feature extraction have been investigated, including time-domain (TD) [18-21], autoregressive (AR), and cepstral features [13,22-24].
English speech recognition and synthesis (TTS) engines; it supports more than 30 additional language engines from vendors including Cepstral, IBM, Loquendo, Lumenvox, Microsoft, Nuance and Telisma.
Today mathematical methods like Fast Fourier or Wavelet transformations (or together with cepstral analysis) are used.
We characterize the audio signal by 13 Mel-Frequency Cepstral Coefficients (MFCC) together with first and second or der derivatives.
The basic idea introduced in this article is to enhance speech quality as the first stage for Mel-cepstra based recognition systems, since it is well-known that cepstral coefficients provided better performance in clean environment, hi this speech enhancement stage, the noise robustness is improved by the perceptual wavelet packet (PWP) based denoising algorithm with both type of thresholding procedure, soft and modified soft thresholding procedure.
It provides a common application interface for Cepstral, IBM, Microsoft and Nuance speech technologies, Chant said.
Higher Order Cepstral Moment Normalization for Improved Robust Speech Recognition
Additional sponsors include OrecX, Jenne, Loway, Grandstream, Cepstral, TeleDynamics, Easy on Hold and LumenVox.