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儿童语音信号处理系统的研究与实现

Research and Implementation of Children's Speech Signal Processing System.

作者信息

Xue Lei, Zhang Zhi, Zhang Xiaoyang, Zhang Yiwen

机构信息

School of Communication and Information Engineering, Shanghai University, Shanghai, 200000, P.R. China.

Shanghai Children's Medical Center, Shanghai, 200000, P.R. China.

出版信息

Open Biomed Eng J. 2015 Aug 31;9:188-193. doi: 10.2174/1874120701509010188. eCollection 2015.

DOI:10.2174/1874120701509010188
PMID:30972147
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6407307/
Abstract

As people's living standard and the degree of mass culture have been constantly improved, many families are caring more about the healthy growth of early childhood. In this paper, based on the research of domestic and foreign experts and scholars: the guardians (such as parents) take appropriate intervention on children at the early stage can effectively promote children's language and cognitive ability development, and the intervention has obvious effect on the autistic spectrum disorders of children. This paper presents a system for analyzing children's speech signal, calculating the guardian's language words, the number of children's verbal words and the number of guardian and children's dialogue rotation times by voice signal processing and pattern recognition technology. And related personnels use these indicators to analysis the development of children's language and cognitive ability, then adopting appropriate measures for children and providing the basis for decision-making criteria, so as to promote the development of children's language and cognitive status.

摘要

随着人们生活水平和大众文化程度的不断提高,许多家庭更加关注幼儿的健康成长。本文基于国内外专家学者的研究:监护人(如父母)在早期对孩子进行适当干预能够有效促进孩子语言和认知能力发展,且该干预对儿童自闭症谱系障碍有明显效果。本文提出一种通过语音信号处理和模式识别技术来分析儿童语音信号、计算监护人语言词汇量、儿童言语词汇量以及监护人与儿童对话轮次数量的系统。相关人员利用这些指标来分析儿童语言和认知能力的发展情况,进而为儿童采取适当措施并提供决策标准依据,以促进儿童语言和认知状况的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e30/6407307/8b6f22e16de3/TOBEJ-9-188_F5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e30/6407307/197a2d01c5fd/TOBEJ-9-188_F1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e30/6407307/7154eb18e9e4/TOBEJ-9-188_F2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e30/6407307/161207c98c3e/TOBEJ-9-188_F3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e30/6407307/31696de4cd65/TOBEJ-9-188_F4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e30/6407307/8b6f22e16de3/TOBEJ-9-188_F5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e30/6407307/197a2d01c5fd/TOBEJ-9-188_F1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e30/6407307/7154eb18e9e4/TOBEJ-9-188_F2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e30/6407307/161207c98c3e/TOBEJ-9-188_F3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e30/6407307/31696de4cd65/TOBEJ-9-188_F4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e30/6407307/8b6f22e16de3/TOBEJ-9-188_F5.jpg

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引用本文的文献

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Retraction Notice: Research and Implementation of Children's Speech Signal Processing System.撤稿通知:儿童语音信号处理系统的研究与实现
Open Biomed Eng J. 2015 Aug 31;10:118. doi: 10.2174/1874120701610010118. eCollection 2016.
2
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Open Biomed Eng J. 2016 Aug 4;10:91-100. doi: 10.2174/1874120701610010091. eCollection 2016.

本文引用的文献

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Robust Speech Rate Estimation for Spontaneous Speech.针对自发语音的稳健语速估计
IEEE Trans Audio Speech Lang Process. 2007 Nov 1;15(8):2190-2201. doi: 10.1109/TASL.2007.905178.
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Modeling longitudinal change in the language abilities of children with autism: parent behaviors and child characteristics as predictors of change.模拟自闭症儿童语言能力的纵向变化:父母行为和儿童特征作为变化的预测因素。
Dev Psychol. 2008 Nov;44(6):1691-704. doi: 10.1037/a0013771.
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The role of maternal responsivity in the development of children with intellectual disabilities.
母亲反应性在智力残疾儿童发展中的作用。
Ment Retard Dev Disabil Res Rev. 2007;13(4):330-8. doi: 10.1002/mrdd.20177.
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Autism spectrum disorders: early detection, intervention, education, and psychopharmacological management.自闭症谱系障碍:早期检测、干预、教育及心理药物治疗管理
Can J Psychiatry. 2003 Sep;48(8):506-16. doi: 10.1177/070674370304800802.
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