Automated Phonological Error Scoring for Children with Language and Hearing Impairment

Simon Sundström, Charalambos Themistocleous
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Abstract

Purpose Phonological production impairments are prevalent in children with developmental language disorder (DLD) and hearing impairment (HI). This study aims to quantify and compare phonological errors in Swedish-speaking children using a novel automated assessment tool and provide an automatic machine learning classification algorithm of children with DLD and HI to age-matched controls based on phonological errors.
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为有语言和听力障碍的儿童自动进行语音错误评分
目的 患有发育性语言障碍(DLD)和听力障碍(HI)的儿童普遍存在语音生成障碍。本研究旨在使用一种新颖的自动评估工具对瑞典语儿童的语音错误进行量化和比较,并根据语音错误提供一种自动机器学习分类算法,将发育性语言障碍和听力障碍儿童与年龄匹配的对照组儿童进行分类。
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