Stereausis is a biologically motivated model proposed by Shamma which encodes both binaural and spectral information in a unified framework to simulate the processing of human binaural auditory system. In this paper, a new type of cepstrum coefficient is proposed based on this model. Two-channel acoustic signals are first processed by the stereausis binaural model to synthesize the spectral inf...

We propose a convolution model for the blocking artifacts in compressed images and videos, and a cepstral filtering algorithm for reducing the artifacts. Since each of the horizontal or vertical line of the compressed image has abrupt changes at almost every 8th samples, it can be modeled as a convolution of the original sequence with an excitation signal of periodicity 8. Comparison of the cep...

This study deals with the relation between the spectral representation and the perceptual identification of the Spanish fricatives and affricates. Several spectral representations have been analyzed: FFT-derived linear cepstrum, mel cepstrum coefficients, LPC cepstral coefficients and the first four statistical moments. Quadratic discriminant analysis including the leaveone-out method have been...

This paper proposes a new pitch detection algorithm of speech signals in noisy environment. The performance of the cepstrum method is effected due to the formant effect and the presence of spurious peaks introduced in noisy condition. In our proposed method, we firstly employ windowless autocorrelation function instead of its speech signal for obtaining the cepstrum. The windowless autocorrelat...

Feature compensation for noise robust speech recognition becomes more effective if normalization of time-derivative parameters is taken into account. This paper describes an implementation of Delta-Cepstrum Normalization (DCN) that runs with only minimum response time. The proposed algorithm, referred to as Recursive DCN, provides word error rate improvements comparable to conventional DCN. Sin...

Cepstral coefficients are widely used in speech recognition. In this paper, we claim that they are not the best way of representing the spectral envelope, at least for some usual speech recognition systems. In fact, cepstrum has several disadvantages: poor physical meaning, need of transformation, and low capacity of adaptation to some recognition systems. In this paper, we propose a new repres...

This paper proposed a system-on-chip (SOC) architecture for speech recognition which is speaker dependent. The feature extraction bases on LPC (linear predictive coefficient)-cepstrum coefficients, and template matching employs Hidden Markov Models (HMM). It does not aim to offer a sophisticated solution but rather a high speed solution. This SOC architecture includes an ASIC of LPC-cepstrum an...

In the area of the speech synthesis techniques, the waveform coding methods maintain the intelligibility and naturalness of synthetic speech. In order to apply the waveform coding or hybrid coding techniques to synthesis by rule, we must be able to alter the pitches of synthetic speech. In this paper, WC propose a new pitch alteration method that minimizes the spectrum distortion by using the b...

A new cepstral function, the cepstrum of the one-sided autocorrelation sequence, is presented and applied to pitch determination of speech signals. It shows a performance in terms of pitch period errors significantly better than those of the usual cepstrum and autocorrelation with center clipping algorithms for both clean and noisy speech, due to its remarkable accuracy at non-stationary segmen...