Suppr超能文献

基于地标点的汉语儿童声学分析临床应用的第一步。

A First Step toward the Clinical Application of Landmark-Based Acoustic Analysis in Child Mandarin.

作者信息

Liu Chin-Ting

机构信息

Department of Applied English, National Chin-Yi University of Technology, Taichung 411030, Taiwan.

出版信息

Children (Basel). 2021 Feb 20;8(2):159. doi: 10.3390/children8020159.

Abstract

As an initial step for the clinical application of landmark-based acoustic analysis in child Mandarin, the study quantified the developmental trajectories of consonants produced by four-to-seven-year-old children who acquired Taiwanese Mandarin as their first language. The results from a total of 80 children (20 in each age group, with gender balanced) indicated that younger age groups produced more + landmark features than seven-year-olds did, showing that the development of obstruents was not completed by the age of six. A multiple regression showed that the participants' speech intelligibility scores could be predicted by landmark features. Additionally, the + landmark feature demonstrated the strongest net effect on speech intelligibility scores. The findings indicated that: (a) the landmark feature + was an essential indicator of speech development in child Mandarin and; (b) the consonantal development in child Mandarin could be predicted by the physiological complexity of the articulatory gestures. Future studies focusing on a wider range of population (e.g., typically developing adults, aging and other clinical groups) with different language backgrounds are encouraged to apply landmark-based acoustic analysis to trace the linguistic development of a particular group.

摘要

作为基于界标的声学分析在儿童普通话临床应用的第一步,该研究量化了以台湾普通话为第一语言的4至7岁儿童所发辅音的发展轨迹。总共80名儿童(每个年龄组20名,性别均衡)的结果表明,较年幼的年龄组比7岁儿童产生了更多的+界标特征,这表明阻塞音的发展在6岁时并未完成。多元回归表明,参与者的言语可懂度得分可以由界标特征预测。此外,+界标特征对言语可懂度得分显示出最强的净效应。研究结果表明:(a)界标特征+是儿童普通话言语发展的重要指标;(b)儿童普通话的辅音发展可以由发音手势的生理复杂性预测。鼓励未来针对更广泛人群(例如,发育正常的成年人、老年人和其他临床群体)、具有不同语言背景的研究应用基于界标的声学分析来追踪特定群体的语言发展。

相似文献

1
A First Step toward the Clinical Application of Landmark-Based Acoustic Analysis in Child Mandarin.
Children (Basel). 2021 Feb 20;8(2):159. doi: 10.3390/children8020159.
2
Tone production in Mandarin-speaking children with cochlear implants: a preliminary study.
Acta Otolaryngol. 2004 May;124(4):363-7. doi: 10.1080/00016480410016351.
3
Children's Consonant Acquisition in 27 Languages: A Cross-Linguistic Review.
Am J Speech Lang Pathol. 2018 Nov 21;27(4):1546-1571. doi: 10.1044/2018_AJSLP-17-0100.
4
Dysarthria in Mandarin-Speaking Children With Cerebral Palsy: Speech Subsystem Profiles.
J Speech Lang Hear Res. 2018 Mar 15;61(3):525-548. doi: 10.1044/2017_JSLHR-S-17-0065.
5
Acquisition of Stop Consonants in Mandarin-Japanese Early Bilingual Children.
J Psycholinguist Res. 2019 Apr;48(2):307-329. doi: 10.1007/s10936-018-9604-5.
7
Bimodal benefits in Mandarin-speaking cochlear implant users with contralateral residual acoustic hearing.
Int J Audiol. 2017;56(sup2):S17-S22. doi: 10.1080/14992027.2017.1321789. Epub 2017 May 9.
9
Mandarin compound vowels produced by prelingually deafened children with cochlear implants.
Int J Pediatr Otorhinolaryngol. 2017 Jun;97:143-149. doi: 10.1016/j.ijporl.2017.04.012. Epub 2017 Apr 10.
10

引用本文的文献

1
From data to discovery: Technology propels speech-language research and theory-building in developmental science.
Neurosci Biobehav Rev. 2025 Jul;174:106199. doi: 10.1016/j.neubiorev.2025.106199. Epub 2025 May 5.
4

本文引用的文献

1
Fricative productions of Mandarin-speaking children with cerebral palsy: the case of five-year-olds.
Clin Linguist Phon. 2020;34(3):256-270. doi: 10.1080/02699206.2019.1636137. Epub 2019 Jul 31.
2
Application of a Landmark-Based Method for Acoustic Analysis of Dysphonic Speech.
J Voice. 2020 Jul;34(4):645.e11-645.e18. doi: 10.1016/j.jvoice.2018.12.017. Epub 2019 Jan 12.
5
A Review of Phonological Development of Mandarin-Speaking Children.
Am J Speech Lang Pathol. 2017 Nov 8;26(4):1262-1278. doi: 10.1044/2017_AJSLP-16-0061.
6
The Development of Voiceless Sibilant Fricatives in Putonghua-Speaking Children.
J Speech Lang Hear Res. 2016 Aug 1;59(4):699-712. doi: 10.1044/2016_JSLHR-S-14-0142.
7
Automated analysis of child phonetic production using naturalistic recordings.
J Speech Lang Hear Res. 2014 Oct;57(5):1638-50. doi: 10.1044/2014_JSLHR-S-13-0037.
8
Automated vocal analysis of naturalistic recordings from children with autism, language delay, and typical development.
Proc Natl Acad Sci U S A. 2010 Jul 27;107(30):13354-9. doi: 10.1073/pnas.1003882107. Epub 2010 Jul 19.
9
A weighted reliability measure for phonetic transcription.
J Speech Lang Hear Res. 2006 Dec;49(6):1391-411. doi: 10.1044/1092-4388(2006/100).

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验