In this paper we describe the results of a preliminary investigation of interand intra-speaker variability in the vowel cepstra extracted from a forensically realistic database of non-contemporaneous telephone recordings of 297 adult, male speakers of Japanese. The methodology adopted to conduct this investigation is based on one-way ANOVA analysis, with the novelty of replacing the standard Eu...

Along with the spoken message, speech contains information about the identity of the speaker. Thus, the goal of speaker identi cation is to develop features which are unique to each speaker. This paper explores a new feature for speech and shows how it can be used for robust speaker identi cation. The results will be compared to the cepstrum feature due to its widespread use and success in spea...

A fast, accurate and robust approach is proposed for the computation of the roots of complex polynomials. The method is derived from the DFT-based differential cepstrum estimation for moving average signals. This minimudmaximum-phase polynomial factorisation is easily extended to a factorisation along an arbitrary circle. In an iterative fashion, we estimate the largest root modulus from the di...

A new cepstrum-based channel compensation method is proposed for speaker verification over the telephone network. The method consists of intra-frame and interframe cepstral processing. For the former, a poleremoved cepstrum is derived, where the LP poles with frequency higher than a certain threshold are removed. For the latter, we introduce a novel way of cepstral mean subtraction called diffe...

It is well known that hidden Markov models (HMMs) can only exploit the time-dependence in the speech process in a limited way. Parametric trajectory models have been proposed to exploit this time-dependency. However, parametric trajectory modeling methods are unable to take advantage of efficient HMM training and recognition methods. This paper describes a new speech recognition technique that ...

This paper presents a new method for speech enhancement. It is well known that Wiener filtering is effective in reducing additive noises and the proposed method is based on it. This paper focuses on the design of Wiener filter, where we place emphasis on the recovery of original formant characteristics and the smooth transition of speech spectrum. Transformation method of LPC cepstrum vector ex...

This study investigates the possibility of using complex cepstrum for glottal flow estimation. Via a systematic study of the windowing effects on the deconvolution quality, we show that the complex cepstrum causal-anticausal decomposition can be effectively used for glottal flow estimation when specific windowing criteria are met. It is also shown that this complex cepstral decomposition gives ...

Recently, vocal tract length normalization (VTLN) techniques have been developed for speaker normalization in speech recognition. This paper proposes a new VTLN method, in which the vocal tract length is normalized in the cepstrum space by means of linear mapping whose parameter is derived using maximumlikelihood estimation. The computational costs of this method are much lower than that of suc...

This paper proposes the use of the Hartley Phase Cepstrum as a tool for signal analysis. The phase of a signal conveys critical information, which is exploited in a variety of applications. The role of phase is particularly important for the case of speech or audio signals. Accurate phase information extraction is a prerequisite for speech applications such as coding, synchronization, synthesis...

The aim of this paper is to find a multitaper-based spectrum estimator that is mean square error optimal for cepstrum coefficient estimation. The multitaper spectrum estimator consists of windowed periodograms which are weighted together, where the weights are optimized using the Taylor expansion of the log-spectrum variance and a novel approximation for the log-spectrum bias. A thorough discus...