This paper describes a novel framework in processing speech signals using multifractality
concepts, and shows that multifractality could be a new fundamental tool for speech …

Frame duration is an essential parameter to ensure correct application of multifractal signal
processing. This paper aims to identify the multifractal nature of speech signals through …

This paper describes a fast multiscale time-domain technique for the analysis of natural
speech waveforms in the presence of noise. The technique is based on the variance fractal …

Nowadays, fractal analysis has been successfully applied to digital speech processing,
particularly for word and phoneme segmentation, which represents one of the fundamental …

One could consider speech to be the major, and most desirable, medium of communication,
not only among human beings, but also between certain animate beings. There are several …

We introduce a new multifractal formalism based on wavelet leaders and study its
properties. Comparing it against previously formulated wavelet coefficient based multifractal …

The nonlinear dynamics of air flow during speech production may often result in some small
or large degree of turbulence. The author quantifies the geometry of speech turbulence, as …

New methods of speech segmentation and enhancement based on fractal dimension Page 1
Proceedings of ICSP2000 . New Methods of Speech Segmentation and Enhancement based on …

The dimension of fricative speech sounds is determined using Hurst's rescaled range
analysis. Fricatives are found to be fractal with constant dimension at least for the lag range …

This paper presents a new approach in processing nonstationary signals-such as speech
signals and images-through singularity characterization. In this approach, we associate a …