Age group classification to identify the progress of language development based on convolutional neural networks

2020 ◽  
pp. 1-10
Author(s):  
Byoung-Doo Oh ◽  
Yoon-Kyoung Lee ◽  
Hye-Jeong Song ◽  
Jong-Dae Kim ◽  
Chan-Young Park ◽  
...  
Keyword(s):  
Language Development ◽  
Speech Therapy ◽  
Age Groups ◽  
Senior Citizen ◽  
Speech Disorders ◽  
Speech Pathology ◽  
Age Group ◽  
Whole Process ◽  
Age Group Classification ◽  
Agglutinative Languages

Speech pathology is a scientific study of speech disorders. In this field, the study also analyzes and evaluates language abilities for the purpose of improving speech and hearing. Speech therapy first performs evaluation of speech ability, which is expensive. In order to solve this problem, software methodologies have been applied to language analysis, but most of them have been applied to only part of the whole process. In this study, the degree of language development is judged by determining the age group of the speaker (Pre-school children, Elementary school, Middle and high school, Adults, and Senior citizen) using deep learning and simple statistics. We use transcription data from the counseling contents and multi-kernel CNN model. At this time, in order to understand the characteristics of Korean language belonging agglutinative languages, experiments are carried out in words, morphemes, characters, jam, and Jamo with POS tag-level. And we analyze the distribution of the results for each sentence of the speakers to predict their age groups and to check the degree of language development. The proposed model shows an average accuracy of about 74.6 %.

scholarly journals Establishment of age group classification for risk stratification in glioma patients

2020 ◽  
Author(s):  
Zhiying Lin ◽  
Runwei Yang ◽  
Yawei Liu ◽  
Kaishu Li ◽  
Guozhong Yi ◽  
...  
Keyword(s):  
Molecular Markers ◽  
Risk Stratification ◽  
Tumor Size ◽  
Age Groups ◽  
Tumor Location ◽  
Group Classification ◽  
Age Group ◽  
Ki 67 ◽  
Who Grade ◽  
Age Group Classification

Abstract Objective: Age is associated with the prognosis of glioma patients, but there is no uniform standard of age-group classification to evaluate the prognosis of glioma patients. In this study, we aimed to establish an age group classification for risk stratification in glioma patients. Methods: A total of 1502 patients diagnosed with gliomas at Nanfang Hospital between 2000 and 2018 were enrolled. The WHO grade of glioma was used as a dependent variable to evaluate the effect of age on risk stratification. The evaluation model was established by logistic regression, and the Akaike information criterion (AIC) value of the model was used to determine the optimal cutoff points for age-classification. The differences in gender, WHO grade, pathological subtype, tumor cell differentiation direction, tumor size, tumor location, and molecular markers between different age groups were analyzed. The molecular markers included GFAP, EMA, MGMT, p53, NeuN, Oligo2, EGFR, VEGF, IDH1, Ki-67, 1p/19q, PR, CD3, H3K27M, and TS. Results: The proportion of men with glioma was higher than that of women with glioma (58.3% vs 41.7%). Analysis of age showed that appropriate classifications of age group were 0-14 years old (pediatric group), 15-47 years old (youth group), 48-63 years old (middle-aged group), and ≥64 years old (elderly group).The proportions of glioblastoma and large tumor size (4-6 cm) increased with age (p = 0.000, p = 0.018, respectively ). Analysis of the pathological molecular markers across the four age groups showed that the proportion of patients with larger than 10% area of Ki-67 expression or positive PR expression increased with age (p = 0.000, p = 0.017, respectively). Conclusion: Age was effective evaluating the risk of glioblastoma in glioma patients. Appropriate classifications of age group for risk stratification were 0-14 years old (pediatric group), 15-47 years old (young group), 48-63 years old (middle age group) and ≥ 64 years old (elderly group). There was significant heterogeneity in WHO grade, tumor size, tumor location and some molecular markers among the four age groups.

scholarly journals Age and Sex Distribution of Speech Disorders

2015 ◽  
Vol 5 (1) ◽  
pp. 7-14
Author(s):  
Mahdi Al-Dujaily ◽  
Sanàa J Abu Nabàa
Keyword(s):  
Mental Retardation ◽  
Language Development ◽  
Language Disorders ◽  
Communication Disorders ◽  
Speech Disorders ◽  
Age Group ◽  
Sex Distribution ◽  
Group 3 ◽  
Delayed Language Development ◽  
Age And Sex

ABSTRACT Background Speech-language pathology is a specialty in the study, assessment, and rehabilitation of speech-language disorders (or communication disorders) which are common problems that may affect both sexes and all age groups. Aim The aim of this study is to raise the attention in Iraq about the role of certified speech pathologists (or speech therapists) in the treatment of patients with communication disorders according to their age and sex distribution, as seen in the phonetic center of University of Jordan. Patients and methods Subjects with speech problems, who visited the phonetic center in Jordan University for treatment by certified speech-language pathologists, were analyzed retrospectively during 3 years (1996 to 1998), and it included 731 subjects with speech disorders, consisted of 213 females and 518 males, with a minimum age of 2 years and a maximum age of 72 years. Results The most common age presentation of communication disorders varies, and it was found that the major speech and language disorders and their distribution were as follows: delayed language development occurred mainly in age group 3 to 4 years (about 57%), stuttering occurred in 3 to 5 years (about 24%), and in articulation disorder occurred in age group 4 to 6 years with about 42%, and in hearing impaired patients occurred mainly in age group of 2 to 4 years with about 45%, in children with mental retardation occurred in age group of 6 to 8 years with about 29%, voice disorders occurred in age 20 to 29 (25%), nasality problems in age group 3 to 5 years (25%), dyslexia in age group 8 to 10 years (40%), and the cases of apraxia, aphasia, and autism were low in number. Conclusion The age and sex distribution of communication disorders varies according to the type of disorder. The speechlanguage pathologists have very important role in the evaluation and treatment of speech language disorders. There is great deficiency of this specialty in this country, and the aim of this article is to ring the bell of attention to these common disorders. Abbreviations SLP: Speech-language pathologist; CDs: Communication disorders; DLD: Delayed language development; HIP: Hearing impaired patient; MR: Mental retardation; CP: Cerebral palsy. How to cite this article Al-Dujaily M, Nabàa SJA. Age and Sex Distribution of Speech Disorders. Int J Phonosurg Laryngol 2015;5(1):7-14.

scholarly journals Language evaluation protocol for children aged 2 months to 23 months: analysis of sensitivity and specificity

CoDAS ◽  
2015 ◽  
Vol 27 (2) ◽  
pp. 119-127 ◽  
Author(s):  
Ludimila Labanca ◽  
Cláudia Regina Lindgren Alves ◽  
Lidia Lourenço Cunha Bragança ◽  
Diego Dias Ramos Dorim ◽  
Cristina Gonçalves Alvim ◽  
...  
Keyword(s):  
Language Development ◽  
Sensitivity And Specificity ◽  
Language Impairment ◽  
Age Groups ◽  
High Sensitivity ◽  
Age Group ◽  
Operating Characteristics ◽  
Behavior Observation ◽  
Evaluation Protocol ◽  
Cutoff Points

Purpose: To establish cutoff points for the analysis of the Behavior Observation Form (BOF) of children in the ages of 2 to 23 months and evaluate the sensitivity and specificity by age group and domains (Emission, Reception, and Cognitive Aspects of Language). Methods: The sample consisted of 752 children who underwent BOF. Each child was classified as having appropriate language development for the age or having possible risk of language impairment. Performance Indicators (PI) were calculated in each domain as well as the overall PI in all domains. The values for sensitivity and specificity were also calculated. The cutoff points for possible risk of language impairment for each domain and each age group were obtained using the receiver operating characteristics curve. Results: The results of the study revealed that one-third of the assessed children have a risk of language impairment in the first two years of life. The analysis of BOF showed high sensitivity (>90%) in all categories and in all age groups; however, the chance of false-positive results was higher than 20% in the majority of aspects evaluated. It was possible to establish the cutoff points for all categories and age groups with good correlation between sensitivity and specificity, except for the age group of 2 to 6 months. Conclusion: This study provides important contributions to the discussion on the evaluation of the language development of children younger than 2 years.

scholarly journals Логопедическое обследование детей с нарушением произносительной стороны речи (ринолалия, ринофония, дизартрия, ДЦП) : учеб.-метод. пособие

2021 ◽  
Author(s):  
Elena A. Larina
Keyword(s):  
Speech Therapy ◽  
Speech Disorders ◽  
Speech Pathology ◽  
Full Time ◽  
Part Time Students ◽  
Part Time ◽  
The University ◽  
And Control ◽  
Independent Work ◽  
Speech Therapists

Еducational methodical manual guide is intended for full-time and part-time students enrolled in special (defectological) education 44.03.03, training profile Speech therapy. The manual consists of two sections, they contain a description of the sequence of stages of speech therapy examination of children with SSD (severe speech disorders), the structure of drawing up a speech therapy opinion, a summary on the topic, questions and control tasks for independent work, a list of references and a glossary. The educational-methodical is intended for students of the defectology department of the university, practicing speech therapists, specialists in the field of speech pathology. Published by the decision of the educational and methodological commission of the university.

scholarly journals Radar Recorded Child Vital Sign Public Dataset and Deep Learning-Based Age Group Classification Framework for Vehicular Application

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2412
Author(s):  
Sungwon Yoo ◽  
Shahzad Ahmed ◽  
Sun Kang ◽  
Duhyun Hwang ◽  
Jungjun Lee ◽  
...  
Keyword(s):  
Vital Sign ◽  
Continuous Wave ◽  
Age Groups ◽  
Vital Signs ◽  
Group Classification ◽  
Age Group ◽  
Smart Vehicles ◽  
Fmcw Radar ◽  
Wide Range ◽  
Age Group Classification

The ongoing intense development of short-range radar systems and their improved capability of measuring small movements make these systems reliable solutions for the extraction of human vital signs in a contactless fashion. The continuous contactless monitoring of vital signs can be considered in a wide range of applications, such as remote healthcare solutions and context-aware smart sensor development. Currently, the provision of radar-recorded datasets of human vital signs is still an open issue. In this paper, we present a new frequency-modulated continuous wave (FMCW) radar-recorded vital sign dataset for 50 children aged less than 13 years. A clinically approved vital sign monitoring sensor was also deployed as a reference, and data from both sensors were time-synchronized. With the presented dataset, a new child age-group classification system based on GoogLeNet is proposed to develop a child safety sensor for smart vehicles. The radar-recorded vital signs of children are divided into several age groups, and the GoogLeNet framework is trained to predict the age of unknown human test subjects.

scholarly journals The problem of determining the criteria for speech disorders in modern preschoolers in the aspect of interdisciplinary interaction of specialists

2019 ◽  
Vol 10 (1) ◽  
pp. 117-126
Author(s):  
Elena E. Malkova ◽  
Elena M. Mashnina
Keyword(s):  
Speech Therapy ◽  
Pathological Condition ◽  
Speech Disorders ◽  
Speech Development ◽  
Language Ability ◽  
Speech Pathology ◽  
Clinical Approach ◽  
Normal Functioning ◽  
Interdisciplinary Interaction ◽  
Impaired Speech

Based on Russian and foreign sources in the field of medicine, psychology and speech therapy, an overview of the main approaches to the systematization of speech disorders in childhood is conducted. It is shown that despite the long and winding path of research, there are numerous descriptions of phenomenology, but there is no consensus about the nature and mechanisms of speech disorders in children. Currently, there are two main directions in the study of speech pathology in children: clinical and psycholinguistic. In a clinical approach, impaired speech is considered as a pathological condition with certain symptoms, etiology and pathogenesis. Psycholinguistic approach to speech pathology involves the correlation of the observed violation with the normal functioning of the processes of generation and perception of speech, as well as an assessment of the degree of formation of language ability. As a result, the analysis of clinical, psychological and psycholinguistic studies shows a lot of contradictions, pushing for an active search for more accurate nominations and differential diagnostic criteria for distinguishing between different states of a child’s speech deficiency. Thus, a tendency is shown to move to a new level of professional reflection from a narrowly focused (clinical, speech therapy, psychological) to a systemic one, in which the focus of scientists will be not only the problem of determining the disadaptive development, but also the prospects for the mental and speech development of the child.

scholarly journals A BIBLIOMETRIC ANALYSIS OF COHESIVE SPEECH RESEARCH OF PRESCHOOLERS FROM 1970 TO 2020

2021 ◽  
Vol 79 (4) ◽  
pp. 611-625
Author(s):  
Ly Thi Bac La ◽  
Nga Thi Thu Nguyen ◽  
Anh Thi Thuy Truong ◽  
Thu-Giang Tran ◽  
The-Thang Nguyen
Keyword(s):  
Language Development ◽  
Speech Therapy ◽  
The United States ◽  
Autism Spectrum ◽  
Theory And Practice ◽  
Language Intervention ◽  
Speech Pathology ◽  
The United Kingdom ◽  
Speech Research ◽  
And Linguistics

Cohesive speech has commonly become regarded as one of the essential aspects of language development, especially for pre-schoolers. This study aimed to shed light on the cohesive speech of pre-schoolers (CSP) knowledge base. Three hundred ninety-five publications close related cohesive speech research of 5-6-year-old children were collected from the Scopus database. By using the bibliometric approach, the results showed the growth rate of publications over time from 1970 to 2020. In this period, the top five countries, the United States, the United Kingdom, Australia, Brazil and France, have published over 60% of total documents. Besides, four main interests of authors in this field were discovered: “language development”, “speech pathology outcomes”, “speech therapy”, “language intervention”. Among these themes, “speech pathology outcomes” was the most relevant one. Another finding, in recent years, scholars focused on aspects of autism spectrum disorder of pre-schoolers. More importantly, the achievements of this discipline have considerably made positive contributions to various fields both in terms of theory and practice, especially in language and linguistics, speech and hearing, psychology, and medicine. Overall, these studies highlight the need for many other studies, particularly relevant to pre-schooling when new generations should be better prepared to be happy in school by their future cognitive developments. Keywords: language development, language intervention, speech pathology outcomes, speech therapy

scholarly journals Development of communication skills in a bilingual child of Czech-Vietnamese origin in preschool age from the viewpoint of speech pathology

2020 ◽  
pp. 1-18
Author(s):  
Tereza Teofilová ◽  
Jana Mironova Tabachová ◽  
Kateřina Vitásková
Keyword(s):  
Language Development ◽  
Phonological Awareness ◽  
Communication Skills ◽  
Speech Therapy ◽  
Language Skills ◽  
Preschool Age ◽  
Auditory Memory ◽  
Speech Pathology ◽  
Analysis And Synthesis ◽  
Linguistic Interference

The article describes the experience of conducting speech therapy with a bilingual (sequential bilingualism) boy of Vietnamese origin in preschool age. The authors identify main differences between Czech and Vietnamese, and also point to specific linguistic interference occurring in the case of a Vietnamese-speaking person learning Czech. The aim of the authors is to describe the development of the boy’s language skills and the possibilities for his language development in kindergarten and during preparatory classes for school education. Speech therapy aimed at supporting the development of communication skills lasted seven months and involved the inclusion of multi-sensory games and activities to support various language levels. Particular emphasis was placed on auditory differentiation (including vowel quantity), auditory memory and phonological awareness (including the division of words into syllables and the analysis and synthesis of sounds).

scholarly journals Age Group Classification of Facial Images Using Rank Based Edge Texture Unit (RETU) and Fuzzy Texture

2019 ◽  
pp. 605-611
Author(s):  
Jammula Nimitha ◽  
Kuraganti Nukeswari ◽  
Kuraganti Sudha ◽  
Kurapati Sumithra ◽  
Rama Devi Gunnam
Keyword(s):  
Age Groups ◽  
Group Classification ◽  
Facial Features ◽  
Age Group ◽  
Human Beings ◽  
Age Group Classification ◽  
Facial Images

We as human beings can estimate the age of a person based on his facial features but there are situations where there is a need for the computers to determine the age of a person based on the picture or photograph. Here comes the situation to teach a machine to determine the age group of a person with his picture. This is applicable in the fields like determining the age of a criminal with his picture or determining the age of a patient when he has undergone an accident and many other fields. To address this problem the paper proposed a technique of finding the age with Rank Based Edge Texture Unit (RETU). The uniqueness of this method is that it divides the age group into 7 classes i.e. the age groups are 1-10, 11-20, 21-30,31-0,41-50,51-60,>60 . With this method, the results cope up to 97.16% and to slightly increase the efficiency the present paper proposes to add Fuzzy Texton features.

scholarly journals Age Group Classification using Convolutional Neural Network (CNN)

2021 ◽  
Vol 2084 (1) ◽  
pp. 012028
Author(s):  
Muhammad Firdaus Mustapha ◽  
Nur Maisarah Mohamad ◽  
Ghazali Osman ◽  
Siti Haslini Ab Hamid
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Age Groups ◽  
Group Classification ◽  
Classification Model ◽  
Age Group ◽  
Health Security ◽  
The Face ◽  
Age Group Classification ◽  
Two Age Groups

Abstract Age group classification is a complex task that is used to classify facial images or videos into predetermined age categories. It is an important task due to its numerous applications such as health, security, authentication system, recruitment, and also in intelligent social robots. Convolutional Neural Network (CNN) has recently shown excellent performance in analysing human face images and videos. This paper proposed an age group classification task using CNN that trained and tested with an All-Age Face (AAF) dataset. FaceNet deep learning model that uses CNN was applied in this study to compute a 128-d embedding that quantifies the face of the age group. The experiment included two age groups: Adolescence and Mature Adulthood. The proposed age group classification model achieved 84.90% accuracy for the training images and 85.12% accuracy for the test images. The experimental results showed that CNN is capable of achieving competitive classification accuracy throughout two age groups in the AAF dataset with unbalanced data distribution.

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