Intra-and inter-database study for Arabic, English, and German databases: do conventional speech features detect voice pathology?

Z Ali, M Alsulaiman, G Muhammad, I Elamvazuthi… - Journal of Voice, 2017 - Elsevier
A large population around the world has voice complications. Various approaches for
subjective and objective evaluations have been suggested in the literature. The subjective …

Automated detection of voice disorder in the Saarbrücken voice database: Effects of pathology subset and audio materials

M Huckvale, C Buciuleac - … of the Annual Conference of the …, 2021 - discovery.ucl.ac.uk
The Saarbrücken Voice Database contains speech and simultaneous electroglottography
recordings of 1002 speakers exhibiting a wide range of voice disorders, together with …

Voice pathology detection on the Saarbrücken voice database with calibration and fusion of scores using multifocal toolkit

D Martínez, E Lleida, A Ortega, A Miguel… - Advances in Speech and …, 2012 - Springer
The paper presents a set of experiments on pathological voice detection over the
Saarbrücken Voice Database (SVD) by using the MultiFocal toolkit for a discriminative …

Development of the arabic voice pathology database and its evaluation by using speech features and machine learning algorithms

TA Mesallam, M Farahat, KH Malki… - Journal of healthcare …, 2017 - Wiley Online Library
A voice disorder database is an essential element in doing research on automatic voice
disorder detection and classification. Ethnicity affects the voice characteristics of a person …

An investigation of multidimensional voice program parameters in three different databases for voice pathology detection and classification

A Al-Nasheri, G Muhammad, M Alsulaiman, Z Ali… - Journal of Voice, 2017 - Elsevier
Summary Background and Objective Automatic voice-pathology detection and classification
systems may help clinicians to detect the existence of any voice pathologies and the type of …

[PDF][PDF] On feature extraction for voice pathology detection from speech signals

Z Kons, A Satt, R Hoory, V Uloza… - Proceedings of the …, 2011 - events.eventact.com
Reliable, automatic and objective detector of pathological voice disorders from speech
signals is a long sought-for tool, by voice clinicians as well as by general practitioners. Such …

Automatic detection of voice disorders

F Kazinczi, K Mészáros, K Vicsi - … , November 24-26, 2015, Proceedings 3, 2015 - Springer
Speech and communication are the bases of our society and the quality of the speech can
seriously affect any person's life. Besides the irregularities in the voice production can be …

Vocal fold pathology assessment using mel-frequency cepstral coefficients and linear predictive cepstral coefficients features

JC Saldanha, T Ananthakrishna… - Journal of medical …, 2014 - ingentaconnect.com
It is possible to identify voice disorders using certain features of speech signals. A
complementary technique could be acoustic analysis of the speech signal, which is shown …

Investigation of voice pathology detection and classification on different frequency regions using correlation functions

A Al-Nasheri, G Muhammad, M Alsulaiman, Z Ali - Journal of Voice, 2017 - Elsevier
Summary Objectives and Background Automatic voice pathology detection and
classification systems effectively contribute to the assessment of voice disorders, which …

Multidirectional regression (MDR)-based features for automatic voice disorder detection

G Muhammad, TA Mesallam, KH Malki, M Farahat… - Journal of Voice, 2012 - Elsevier
BACKGROUND AND OBJECTIVE: Objective assessment of voice pathology has a growing
interest nowadays. Automatic speech/speaker recognition (ASR) systems are commonly …