Automatic detection of pathological voices using complexity measures, noise parameters, and mel-cepstral coefficients

JD Arias-Londono, JI Godino-Llorente… - IEEE Transactions …, 2010 - ieeexplore.ieee.org
This paper proposes a new approach to improve the amount of information extracted from
the speech aiming to increase the accuracy of a system developed for the automatic …

Characterization of healthy and pathological voice through measures based on nonlinear dynamics

P Henríquez, JB Alonso, MA Ferrer… - IEEE transactions on …, 2009 - ieeexplore.ieee.org
In this paper, we propose to quantify the quality of the recorded voice through objective
nonlinear measures. Quantification of speech signal quality has been traditionally carried …

Detection of vocal disorders based on phase space parameters and Lyapunov spectrum

H Ghasemzadeh, MT Khass, MK Arjmandi… - … signal processing and …, 2015 - Elsevier
Previous studies have shown that the underlying process of speech generation exhibits
nonlinear characteristics. Since linear features cannot represent a nonlinear system …

Pathological assessment of patients' speech signals using nonlinear dynamical analysis

G Vaziri, F Almasganj, R Behroozmand - Computers in biology and …, 2010 - Elsevier
Acoustic analysis of voice features can complete the invasive observation-based methods
for the diagnosis of vocal fold pathologies. Selection of an appropriate feature extraction …

Detection of different voice diseases based on the nonlinear characterization of speech signals

CM Travieso, JB Alonso, JR Orozco-Arroyave… - Expert Systems with …, 2017 - Elsevier
This work describes a novel methodology to characterize voice diseases by using nonlinear
dynamics, considering different complexity measures that are mainly based on the analysis …

[PDF][PDF] Using nonlinear features for voice disorder detection

JB Alonso, F Díaz-de-María, CM Travieso… - ISCA tutorial and …, 2005 - isca-archive.org
In this paper we propose the use of nonlinear speech features to improve the voice quality
measurement. We have tested a couple of features from the Dynamical System Theory …

Voice pathology detection and classification using auto-correlation and entropy features in different frequency regions

A Al-Nasheri, G Muhammad, M Alsulaiman, Z Ali… - Ieee …, 2017 - ieeexplore.ieee.org
Automatic voice pathology detection and classification systems effectively contribute to the
assessment of voice disorders, enabling the early detection of voice pathologies and the …

Robust and complex approach of pathological speech signal analysis

J Mekyska, E Janousova, P Gomez-Vilda, Z Smekal… - Neurocomputing, 2015 - Elsevier
This paper presents a study of the approaches in the state-of-the-art in the field of
pathological speech signal analysis with a special focus on parametrization techniques. It …

Adaptive estimation of residue signal for voice pathology diagnosis

M de Oliveira Rosa, JC Pereira… - IEEE Transactions on …, 2000 - ieeexplore.ieee.org
The use of noninvasive techniques to evaluate the larynx and vocal tract helps the speech
specialists to perform accurate diagnose of diseases. In this study, a method to distinguish …

Acoustic analysis of speech for detection of laryngeal pathologies

CE Martinez, HL Rufiner - … of the IEEE Engineering in Medicine …, 2000 - ieeexplore.ieee.org
It is well known that most laryngeal diseases and vocal fold pathologies cause significant
changes in speech. Different procedures of clinical application for laryngeal examination …