User profiles for Tamer A. Mesallam

Tamer A Mesallam

Professor of Phoniatrics, King Saud University, Professor, Menoufia University
Verified email at ksu.edu.sa
Cited by 1638

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

…, M Alsulaiman, Z Ali, KH Malki, TA Mesallam… - 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 …

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

…, G Muhammad, M Alsulaiman, Z Ali, TA Mesallam… - Journal of Voice, 2017 - Elsevier
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 pathology …

Validation and cultural modification of Arabic voice handicap index

KH Malki, TA Mesallam, M Farahat, M Bukhari… - European archives of …, 2010 - Springer
The voice handicap index (VHI) is one of the most widely used instruments for measuring a
patient’s self-assessment of voice severity. In some ways, it reflects the patient’s quality of life…

Voice pathology detection using interlaced derivative pattern on glottal source excitation

G Muhammad, M Alsulaiman, Z Ali, TA Mesallam… - … signal processing and …, 2017 - Elsevier
In this paper, we propose a voice pathology detection and classification method using an
interlaced derivative pattern (IDP), which involves an n-th order directional derivative, on a …

Reflux symptom index versus reflux finding score

TA Mesallam, JC Stemple… - Annals of Otology …, 2007 - journals.sagepub.com
Objectives: We examined the correlation between the Reflux Symptom Index (RSI) and the
Reflux Finding Score (RFS) to determine the laryngeal signs and symptoms that were most …

[HTML][HTML] Laryngeal myofibroblastic tumor: case series and literature review

…, A Rikabi, M Farahat, TA Mesallam… - … Journal of Health …, 2011 - ncbi.nlm.nih.gov
Inflammatory myofibroblastic tumor (IMT) or (plasma cell granuloma) of the larynx is a rare
benign lesion that usually involves the lungs and broncopulmonary tree, as well as abdominal …

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 …

[HTML][HTML] Formant analysis in dysphonic patients and automatic Arabic digit speech recognition

G Muhammad, TA Mesallam, KH Malki… - Biomedical engineering …, 2011 - Springer
Background and objective There has been a growing interest in objective assessment of
speech in dysphonic patients for the classification of the type and severity of voice pathologies …

Automatic voice pathology detection and classification using vocal tract area irregularity

…, G Altuwaijri, M Alsulaiman, Z Ali, TA Mesallam… - Biocybernetics and …, 2016 - Elsevier
In this paper, an automatic voice pathology detection (VPD) system based on voice production
theory is developed. More specifically, features are extracted from vocal tract area, which …

Development of the arabic version of dysphagia handicap index (dhi)

M Farahat, KH Malki, TA Mesallam, M Bukhari… - Dysphagia, 2014 - Springer
The Dysphagia Handicap Index (DHI) is a 25-item self-administered questionnaire. It is a
noninvasive tool for measuring the handicapping effect of dysphagia on the physical, functional…