Automated entropy-based detection of mispronounced logatomes
Journal Title: Applied Medical Informatics - Year 2019, Vol 41, Issue 0
Abstract
This paper presents a controlled experiment focused on the entropy-based discrimination of mispronunciations of logatomes (monosyllabic pseudowords). The introductory part briefly describes the related symptomology and the current challenges posed by the main objective of our research theme: the development of a software solution for the automated screening of dyslalia in early school-age children. Statistically speaking, the weight of dyslalic disorders ranks first among speech disorders, whereas from a linguistic standpoint dyslalia mainly engages the phonetic tier. Its symptoms are distortion, substitution, omission or inversion of speech sounds (phonemes) and if undetected in due time and left untreated, it may have serious consequences for the subjects’ school performance and the development of their personality. A few general remarks with respect to the phonological parameters of the target consonants are also made in the Introduction section. The Materials and Method section describes the conditions, the feature-extraction technique, the technology, and the materials used in the controlled experiment. The same section also makes a description of the manner of calculation of the information entropy values of each analyzed speech sample and the manner of comparison of such information entropy values, aimed at increasing the current rate of successful discrimination of misarticulation cases. A synthesis of the achieved results is provided in the Results section based on which conclusions are drawn and comments are made in correlation with the target consonants and the influence of the phonological context thereof, in the Conclusions section. The final section also contains a discussion on further research and development of our computerized dyslalia screening solution in light of the new findings.
Authors and Affiliations
Emilian MAHMUT, Vasile STOICU-TIVADAR, Dorin BERIAN, Michele DELLA VENTURA
Keywords
Related Articles
- EP ID EP655053
- DOI -
- Views 87
- Downloads 0
Using Electronic Health Record Systems in Medical Education – A Needs Assessment
The aim of this study was to determine the features needed in electronic health record systems by supervising physicians for teaching medical students and residents. We conducted in-depth semi-structured interviews with...
Risk Factors and Severity of Diabetic Retinopathy in Maramureş
Aims: We looked for the factors which can be adjust in order to reduce the frequency and severity of diabetic retinopathy in Maramureş County, Romania. Methods: We done a cross-sectional study of 1269 persons with dia...
Implementation of deceleration capacity measurement algorithm in MatLab
Background: Impaired autonomic nervous system (ANS) tonus is involved into the pathogenesisof numerous cardiac diseases, such as atrial fibrillation and malignant ventricular arrhythmias.While numerous electrocardiograph...
Satistical Graphical User Interface Plug-In for Survival Analysis in R Statistical and Graphics Language and Environment.
[i][b]Introduction[/b][/i]: R is a statistical and graphics language and environment. Although it is extensively used in command line, graphical user interfaces exist to ease the accommodation with it for new users. Rcmd...
Apparent patterns in ambulance response time in Timişoara
Introduction: The demand for efficient and effective emergency health care is increasinglychallenging and guaranteeing a prompt response in the ambulance services is an importantfactor for favorable outcomes in time-crit...