The human voice production system is an intricate biological device capable of modulating
pitch and loudness. Inherent internal and/or external factors often damage the vocal folds …

This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and
Applications in Science, Engineering, Medicine and Finance has been fully updated and …

Objectives With smartphones and wearable devices becoming ubiquitous, they offer an
opportunity for large-scale voice sampling. This systematic review explores the application …

In this work, a voice-based analysis is conducted with the contribution of providing
physicians with a decision tool along with framing information to help them see functional …

The Mel Frequency Cepstral Coefficients (MFCCs) are widely used in order to extract
essential information from a voice signal and became a popular feature extractor used in …

Voice pathology identification using speech processing methods can be used as a
preliminary diagnosis. This study implements a set of identification systems to screen voice …

Voice pathologies identification using speech processing methods can be used as a
preliminary diagnostic. The aim of this study is to compare the performance of sustained …

This paper proposes the use of a similarity measure based on information theory called
correntropy for the automatic classification of pathological voices. By using correntropy, it is …

In this paper, an initial feature vector based on the combination of the wavelet packet
decomposition (WPD) and the Mel frequency cepstral coefficients (MFCCs) is proposed. For …

Multi-class pattern classification has many applications including speech recognition, and it
is not easy to extend from two-class neural networks (NNs). This paper presents a study …