• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Neurocomputational modeling of speech motor development.言语运动发育的神经计算建模。
J Child Lang. 2023 Nov;50(6):1318-1335. doi: 10.1017/S0305000923000260. Epub 2023 Jun 20.
2
Distributional learning of speech sound categories is gated by sensitive periods.语音类别的分布学习受敏感期调控。
Cognition. 2021 Aug;213:104653. doi: 10.1016/j.cognition.2021.104653. Epub 2021 Mar 19.
3
Chunking of phonological units in speech sequencing.语音单元在言语序列中的切分。
Brain Lang. 2019 Aug;195:104636. doi: 10.1016/j.bandl.2019.05.001. Epub 2019 Jun 12.
4
Learning about sounds contributes to learning about words: effects of prosody and phonotactics on infant word learning.学习语音有助于学习单词:韵律和音位学对婴儿单词学习的影响。
J Exp Child Psychol. 2013 Mar;114(3):405-17. doi: 10.1016/j.jecp.2012.10.002. Epub 2012 Nov 22.
5
Speech perception as categorization.作为分类的言语感知。
Atten Percept Psychophys. 2010 Jul;72(5):1218-27. doi: 10.3758/APP.72.5.1218.
6
Abstract processing of syllabic structures in early infancy.婴儿早期音节结构的抽象加工
Cognition. 2024 Mar;244:105663. doi: 10.1016/j.cognition.2023.105663. Epub 2023 Dec 20.
7
Visual speech contributes to phonetic learning in 6-month-old infants.视觉语音有助于6个月大婴儿的语音学习。
Cognition. 2008 Sep;108(3):850-5. doi: 10.1016/j.cognition.2008.05.009. Epub 2008 Jun 30.
8
The infant's developmental path in phonological acquisition.婴儿在语音习得方面的发展路径。
Br J Psychol. 2017 Feb;108(1):28-30. doi: 10.1111/bjop.12215.
9
Learning and representation in speech and language.语音和语言中的学习与表征
Curr Opin Neurobiol. 1994 Dec;4(6):812-22. doi: 10.1016/0959-4388(94)90128-7.
10
Learning to Produce Syllabic Speech Sounds via Reward-Modulated Neural Plasticity.通过奖励调制神经可塑性学习发出音节语音
PLoS One. 2016 Jan 25;11(1):e0145096. doi: 10.1371/journal.pone.0145096. eCollection 2016.

引用本文的文献

1
Exploring the Activation of Target Words in Picture Naming in Children Who Stutter: Evidence From Event-Related Potentials.探讨口吃儿童图片命名中目标词的激活:事件相关电位的证据。
J Speech Lang Hear Res. 2024 Sep 12;67(9):2903-2919. doi: 10.1044/2024_JSLHR-23-00570. Epub 2024 Jul 26.
2
Hearing and speech interactions in children with cerebral palsy, in the first 2 years : Focus on cerebral palsy.脑瘫患儿出生后头两年的听力与言语互动:聚焦于脑瘫
Pediatr Res. 2024 Jul 13. doi: 10.1038/s41390-024-03403-0.
3
Childhood Apraxia of Speech: A Descriptive and Prescriptive Model of Assessment and Diagnosis.儿童言语失用症:评估与诊断的描述性及规范性模型
Brain Sci. 2024 May 24;14(6):540. doi: 10.3390/brainsci14060540.
4
Dynamic Temporal and Tactile Cueing in Young Children With Childhood Apraxia of Speech: A Multiple Single-Case Design.动态时距和触觉提示对言语失用症儿童的影响:一项多项单病例设计研究。
J Speech Lang Hear Res. 2024 Apr 8;67(4):1042-1071. doi: 10.1044/2024_JSLHR-23-00415. Epub 2024 Mar 21.
5
Knowns and unknowns about the neurobiology of stuttering.口吃的神经生物学:已知与未知。
PLoS Biol. 2024 Feb 22;22(2):e3002492. doi: 10.1371/journal.pbio.3002492. eCollection 2024 Feb.

本文引用的文献

1
Syllables and their beginnings have a special role in the mental lexicon.音节及其起始部分在心理词汇中具有特殊作用。
Proc Natl Acad Sci U S A. 2023 Sep 5;120(36):e2215710120. doi: 10.1073/pnas.2215710120. Epub 2023 Aug 28.
2
LaDIVA: A neurocomputational model providing laryngeal motor control for speech acquisition and production.LaDIVA:一个提供喉运动控制的神经计算模型,用于语音获取和产生。
PLoS Comput Biol. 2022 Jun 23;18(6):e1010159. doi: 10.1371/journal.pcbi.1010159. eCollection 2022 Jun.
3
Long-Range GABAergic Projections of Cortical Origin in Brain Function.大脑功能中源自皮质的长距离γ-氨基丁酸能投射
Front Syst Neurosci. 2022 Mar 22;16:841869. doi: 10.3389/fnsys.2022.841869. eCollection 2022.
4
A cortical network processes auditory error signals during human speech production to maintain fluency.在人类言语产生过程中,皮质网络处理听觉错误信号以维持言语流畅性。
PLoS Biol. 2022 Feb 3;20(2):e3001493. doi: 10.1371/journal.pbio.3001493. eCollection 2022 Feb.
5
Behavioral and neural correlates of speech motor sequence learning in stuttering and neurotypical speakers: an fMRI investigation.口吃者与神经典型者言语运动序列学习的行为和神经关联:一项功能磁共振成像研究
Neurobiol Lang (Camb). 2021 Feb;2(1):106-137. doi: 10.1162/nol_a_00027.
6
Modelling speech motor programming and apraxia of speech in the DIVA/GODIVA neurocomputational framework.在DIVA/GODIVA神经计算框架中对言语运动编程和言语失用症进行建模。
Aphasiology. 2021;35(4):424-441. doi: 10.1080/02687038.2020.1765307. Epub 2020 May 18.
7
A Modeling-Guided Case Study of Disordered Speech in Minimally Verbal Children With Autism Spectrum Disorder.基于模型的自闭症谱系障碍儿童言语障碍病例研究
Am J Speech Lang Pathol. 2021 Jun 18;30(3S):1542-1557. doi: 10.1044/2021_AJSLP-20-00121. Epub 2021 Apr 14.
8
Cell-type-specific recruitment of GABAergic interneurons in the primary somatosensory cortex by long-range inputs.长程输入在初级体感皮层中对 GABA 能中间神经元的细胞类型特异性募集。
Cell Rep. 2021 Feb 23;34(8):108774. doi: 10.1016/j.celrep.2021.108774.
9
The neuroanatomy of speech sequencing at the syllable level.音节水平言语序列的神经解剖学。
PLoS One. 2018 Oct 9;13(10):e0196381. doi: 10.1371/journal.pone.0196381. eCollection 2018.
10
A subcortical circuit linking the cerebellum to the basal ganglia engaged in vocal learning.小脑与基底神经节之间的皮质下回路参与了发声学习。
Elife. 2018 Jul 25;7:e32167. doi: 10.7554/eLife.32167.

言语运动发育的神经计算建模。

Neurocomputational modeling of speech motor development.

机构信息

Department of Speech, Language and Hearing Sciences, Boston University, Boston, MA02215.

Department of Biomedical Engineering, Boston University, Boston, MA02215.

出版信息

J Child Lang. 2023 Nov;50(6):1318-1335. doi: 10.1017/S0305000923000260. Epub 2023 Jun 20.

DOI:10.1017/S0305000923000260
PMID:37337871
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10615680/
Abstract

This review describes a computational approach for modeling the development of speech motor control in infants. We address the development of two levels of control: articulation of individual speech sounds (defined here as phonemes, syllables, or words for which there is an optimized motor program) and production of sound sequences such as phrases or sentences. We describe the DIVA model of speech motor control and its application to the problem of learning individual sounds in the infant's native language. Then we describe the GODIVA model, an extension of DIVA, and how chunking of frequently produced phoneme sequences is implemented within it.

摘要

这篇综述描述了一种用于模拟婴儿言语运动控制发展的计算方法。我们探讨了两个层次的控制的发展:个体言语声音的发音(这里定义为具有优化运动程序的音素、音节或单词)和声音序列的产生,例如短语或句子。我们描述了 DIVA 言语运动控制模型及其在婴儿母语中学习单个声音的问题中的应用。然后,我们描述了 GODIVA 模型,即 DIVA 的扩展,以及如何在其中实现经常产生的音素序列的分块。