评估中国儿童和成人发音差异的新型应用系统。

Q3 Medicine
Open Biomedical Engineering Journal Pub Date : 2016-08-04 eCollection Date: 2016-01-01 DOI:10.2174/1874120701610010091
Xiaoyang Zhang, Lei Xue, Zhi Zhang, Yiwen Zhang
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引用次数: 0

摘要

背景:儿童健康问题一直以来都备受家长乃至全社会的关注,其中儿童语言发展问题更是研究的热点。专家学者研究发现,监护人在早期对儿童进行适当的干预,能有效促进儿童语言和认知能力的发展,并进行了数量分析。人工智能技术对儿童自闭症谱系障碍的干预效果明显:本文提出了一种儿童语音信号分析系统,对说话者的语音信号进行预处理,然后计算监护人和儿童语音中的数量,以及其他一些特征参数或指标(如可认知音节数、语言的连续性):通过这些定量分析工具和参数,我们可以客观、定量地评估和分析儿童的语言质量和认知能力,为家长提供决策标准的依据。结论:本文根据现有的儿童语言发展研究,提出了语言发展自动测量过程中影响儿童语言形成的几个指标。从实验结果可以看出,经过预处理(包括信号增强、语音活动检测)后,发散算法的计算结果和后期的字数统计结果与实际情况相比都比较理想。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Novel Application System of Assessing the Pronunciation Differences Between Chinese Children and Adults.

A Novel Application System of Assessing the Pronunciation Differences Between Chinese Children and Adults.

A Novel Application System of Assessing the Pronunciation Differences Between Chinese Children and Adults.

A Novel Application System of Assessing the Pronunciation Differences Between Chinese Children and Adults.

Background: Health problems about children have been attracting much attention of parents and even the whole society all the time, among which, child-language development is a hot research topic. The experts and scholars have studied and found that the guardians taking appropriate intervention in children at the early stage can promote children's language and cognitive ability development effectively, and carry out analysis of quantity. The intervention of Artificial Intelligence Technology has effect on the autistic spectrum disorders of children obviously.

Objective and methods: This paper presents a speech signal analysis system for children, with preprocessing of the speaker speech signal, subsequent calculation of the number in the speech of guardians and children, and some other characteristic parameters or indicators (e.g cognizable syllable number, the continuity of the language).

Results: With these quantitative analysis tool and parameters, we can evaluate and analyze the quality of children's language and cognitive ability objectively and quantitatively to provide the basis for decision-making criteria for parents. Thereby, they can adopt appropriate measures for children to promote the development of children's language and cognitive status.

Conclusion: In this paper, according to the existing study of children's language development, we put forward several indicators in the process of automatic measurement for language development which influence the formation of children's language. From the experimental results we can see that after the pretreatment (including signal enhancement, speech activity detection), both divergence algorithm calculation results and the later words count are quite satisfactory compared with the actual situation.

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来源期刊
Open Biomedical Engineering Journal
Open Biomedical Engineering Journal Medicine-Medicine (miscellaneous)
CiteScore
1.60
自引率
0.00%
发文量
4
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