This paper proposes a simple and e cient time domain technique to estimate an all-poll model on a mel-frequency axis (Mel-LPC). This method requires only two-fold computational cost as compared to conventional linear prediction analysis. The recognition performance of mel-cepstral parameters obtained by the Mel LPC analysis is compared with those of conventional LP mel-cepstra and the melfreque...

A technique based on fitting splines to the phase derivative curve is presented for the efficient and reliable computation of the two—dimensional complex cepstrum. The technique is an adaptive numerical integration scheme and makes use of several computational strategies within the Tribolet's phase unwrapping algorithm. An application of the complex cepstrum in testing the stability of two—dime...

| A novel time{domain computation method of the complex cepstrum is proposed. We approximate the complex cepstrum by the solution of a diierence equation system and employ a projection method by Gohberg and Feld-man to solve the system. It is proved that under fairly general assumptions the approximations converge to the complex cepstrum. The projection method, together with the proposed time{d...

Research on damage of gears and gear pairs using vibration signals remains very attractive, because vibration signals from a gear pair are complex in nature and not easy to interpret. Predicting gear pair defects by analyzing changes in vibration signal of gears pairs in operation is a very reliable method. Therefore, a suitable vibration signal processing technique is necessary to extract defe...

Root-cepstral analysis has been proposed previously for speech recognition in car environments [9]. In this paper, we focus on an alternative aspect of Root-cepstrum as it applies to discriminative acoustic modeling and fast speech recognizer decoding. We compare Root-cepstrum to Mel-Frequency cepstrum Coefficients (MFCC) in terms of their noise immunity during modeling and decoding speed. Our ...

In speaker recognition systems, the adaptive component weighted (ACW) cepstrum has been shown to be more robust than the conventional linear predictive (LP) cepstrum. The ACW cepstrum is derived from a pole-zero transfer function whose denominator is the pth-order LP polynomial A(z). The numerator is a (p 1)th-order polynomial that is up to now found as follows. The roots of A(z) are computed, ...

The asymptotic covariance matrix of the empirical cepstrum is analyzed. We show that for Gaussian processes, cepstral coefficients derived from smoothed periodograms are asymptotically uncorrelated and their variances multiplied by the sample size T tend to unity. For an autoregressive process and its autoregressive cepstrum estimate, somewhat weaker results hold.

In this paper, we proposed a new method that can improve the accuracy of cepstrum pitch detection and can reduce the processing time. We control the phase information of cepstrum for making the pitch peak maximum. So we extract the exact pitch period easily. We shorten the processing time by omitting the bit-reversing process from the FFT and IFFT computation.

Abstract An ARMA(n,m) model is uniquely determined by its n first covariances and m first cepstrum coefficients. However, there does not always exist a model matching an estimated set of these parameters. We propose a method determining an asymptotically stable minimum phase model that match the covariances exactly and the cepstrum parameters approximatively. A convex barrier term is used for t...