Homomorphic analysis is a well-known method for the separation of non-linearly combined signals. More particularly, the use of complex cepstrum for source-tract deconvolution has been discussed in various articles. However there exists no study which proposes a glottal flow estimation methodology based on cepstrum and reports effective results. In this paper, we show that complex cepstrum can b...

In this article, an image feature extraction method based on two-dimensional (2D) Mellin cepstrum is introduced. The concept of one-dimensional (1D) mel-cepstrum that is widely used in speech recognition is extended to two-dimensions using both the ordinary 2D Fourier transform and the Mellin transform. The resultant feature matrices are applied to two different classifiers such as common matri...

Several studies have shown that the amplitude of the first rahmonic peak (R1) in the cepstrum is an indicator of hoarse voice quality. The cepstrum is obtained by taking the inverse Fourier Transform of the log-magnitude spectrum. In the present study, a number of spectral analysis processing steps are implemented, including period-synchronous and periodasynchronous analysis, as well as harmoni...

This paper presents a simple and e cient time domain technique to estimate an all-pole model on the melfrequency scale (Mel-LPC), and compares the recognition performance of Mel-LPC cepstrum with those of both the standard LPC mel-cepstrum and the MFCC through the Japanese dictation system (Julius) with 20,000 word vocabulary. First, the optimal value of frequency warping factor is examined in ...

In this paper, we propose a method to remove the residual speech effects of the channel cepstrum for speaker recognition in the Cepstral Mean Subtraction framework. The proposed Formant-Broadened CMS(FBCMS) is based on the facts that the formants can be found easily in log spectrum which is transformed from the cepstrum and the formants correspond to the dominant poles of all-pole model which i...

This paper focuses on the spectral representation of the sub-band cepstrum in relation to that of the full-band cepstrum. Through theoretical analysis it is shown that the net spectral information content of the cepstral coefficients with the same index in different sub-bands is only comparable to that of a full-band cepstral parameter whose quefrency is given by the product of that specific in...

In this work, we describe a speaker identification system that uses multiple supplementary information sources for computing a combined match score for the unknown speaker. Each speaker profile in the database consists of multiple feature vector sets that can vary in their scale, dimensionality, and the number of vectors. The evidence from a given feature set is weighted by its reliability that...

An improved cepstrum-based voicing detection and pitch determination algorithm is presented. Voicing decisions are made using a multifeature voiced/unvoiced classification algorithm based on statistical analysis of cepstral peak, zero-crossing rate, and energy of short-time segments of the speech signal. Pitch frequency information is extracted by a modified cepstrum-based method and then caref...

We introduce "the modulation cepstrum," a novel representation of an acoustic signal used to distinguish speech signal and environmental noises. The modulation cepstrum was computed by taking the inverse Fourier transform of the logarithmic modulation spectrum, a spectral representation of the temporal dynamics of a sub-band. We calculated the center of gravity of accumulated the modulation cep...