Time series analysis is becoming an increasingly reliable tool for the study of complicated
dynamics in measurements across many fields of science and engineering. This paper …

The aim of this chapter is to answer the essence of SEMG and to explore the potential use of
nonlinear analysis as a tool in the clinical and biomechanical applications. The technical …

Phonetic segmentation plays a key role in developing various speech applications. In this
work, we propose to use various features for automatic phonetic segmentation task for …

Emotions (like fear, anger, sadness, happiness etc.) are the fundamental features of human
behavior and governs his/her mental health. The subtlety of emotional fluctuations can be …

Speech and music signals are multifractal phenomena. The time displacement profile of
speech and music signal show strikingly different scaling behaviour. However, a full …

Voice is a characteristic of the human body which is unique to an individual. Voice can be
used for remote access applications, in order to verify the individual's identity. However …

In this paper two types of redundancy analysis, one based on linear redundancy and the
other based on nonlinear entropy-based redundancy, are applied to the OTAGO speech …

In this work we use a set of multifractal features, namely Variable Variance Gaussian
Parameter (WGP), extracted from a cascade model of speech signals to improve the …

In this paper we apply a nonlinear Hammerstein model for speech analysis and coding
using frame-based parameter solving. This paper presents a method for calculating the …

Speech analysis for identification and recognition purposes is a demanding task, especially
to find recognition parameters for some consonants. In this paper, we show the initial …