Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Language Development01:22

Language Development

329
Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
329

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

The mechanism of intestinal IgA class switching regulated by TRIM21 through down-regulation of AID in IgA nephropathy.

International immunopharmacology·2026
Same author

Coherent 2D-3D van der Waals perovskite epitaxial heterostructures.

Nature nanotechnology·2026
Same author

Targeting RELA and STAT3 regulates TNFRSF10A-mediated apoptosis in a novel apoptosis-based prognostic model for clear cell renal cell carcinoma.

World journal of surgical oncology·2026
Same author

High-Performance Aerogel-Based Moisture-Enabled Electricity Generators with Long Working Life for Hydroenergy Harvesting.

ACS applied materials & interfaces·2026
Same author

Cardiac 3D Mechanical and Electrical Signal Reconstruction via Defocused Speckle Imaging.

IEEE transactions on bio-medical engineering·2026
Same author

Refractory Mycobacterium fortuitum skin and soft tissue infection following dog bite in a pediatric patient: a case report.

BMC pediatrics·2026
Same journal

Multimodal Contrastive Spatiotemporal Self-Organizing Neural Networks for In-Home Activity Learning of Mild Cognitive Impairment.

IEEE journal of biomedical and health informatics·2026
Same journal

Integrating Multi-View Residue Graph and Protein Language Model for Cell-Penetrating Peptide Prediction via Global-Local Graph Aggregation and Cross-Attentive Fusion.

IEEE journal of biomedical and health informatics·2026
Same journal

An Ultra-Lightweight Cross-scale Attention Mamba Network for Accurate Skin Lesion Segmentation.

IEEE journal of biomedical and health informatics·2026
Same journal

Explanation-Guided Reconstruction of Missing Clinical Features for Survival Prediction in Pancreatic Cancer.

IEEE journal of biomedical and health informatics·2026
Same journal

stDGCN: A dual-augmentation graph convolutional network for identifying spatial domains with attention mechanism.

IEEE journal of biomedical and health informatics·2026
Same journal

Patient-specific Biomechanical Investigation of Percutaneous Pulmonary Valves: Towards the Integration of Routinely Acquired Clinical Data and Fluid-structure Interaction Simulations.

IEEE journal of biomedical and health informatics·2026
查看所有相关文章

相关实验视频

Updated: Jun 14, 2025

Experience is Instrumental in Tuning a Link Between Language and Cognition: Evidence from 6- to 7- Month-Old Infants' Object Categorization
05:35

Experience is Instrumental in Tuning a Link Between Language and Cognition: Evidence from 6- to 7- Month-Old Infants' Object Categorization

Published on: April 19, 2017

6.6K

多任务学习用于基于音频的婴儿哭声检测和推理.

Ming Xia, Dongmin Huang, Wenjin Wang

    IEEE journal of biomedical and health informatics
    |September 3, 2024
    PubMed
    概括
    此摘要是机器生成的。

    这项研究引入了一种新的婴儿哭声检测和推理 (ICDR) 模型,以改善婴儿哭声分析. ICDR模型通过使用多任务学习和一种新的对比的专家混合方法来增强概括性.

    更多相关视频

    Infant Auditory Processing and Event-related Brain Oscillations
    06:34

    Infant Auditory Processing and Event-related Brain Oscillations

    Published on: July 1, 2015

    16.4K
    A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
    11:14

    A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

    Published on: October 4, 2015

    10.9K

    相关实验视频

    Last Updated: Jun 14, 2025

    Experience is Instrumental in Tuning a Link Between Language and Cognition: Evidence from 6- to 7- Month-Old Infants' Object Categorization
    05:35

    Experience is Instrumental in Tuning a Link Between Language and Cognition: Evidence from 6- to 7- Month-Old Infants' Object Categorization

    Published on: April 19, 2017

    6.6K
    Infant Auditory Processing and Event-related Brain Oscillations
    06:34

    Infant Auditory Processing and Event-related Brain Oscillations

    Published on: July 1, 2015

    16.4K
    A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
    11:14

    A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

    Published on: October 4, 2015

    10.9K

    科学领域:

    • 机器学习 机器学习
    • 婴儿健康监测 婴儿健康监测
    • 信号处理 信号处理

    背景情况:

    • 婴儿哭泣分析对于了解婴儿福祉至关重要,但有限的数据集和个体声音变化阻碍了模型的性能.
    • 现有的模型由于数据稀缺和婴儿哭泣的特定主题声学差异而难以通用.

    研究的目的:

    • 为婴儿哭声检测和推理 (ICDR) 开发一个强大的多任务模型,克服数据限制和主题变化.
    • 提高人工智能模型在解释婴儿发声时的准确性和概括能力.

    主要方法:

    • 提出了一个多任务学习框架,利用两个数据集来增加数据多样性.
    • 引入了一个高效的注意力模块,用于跨任务的功能丰富.
    • 实施了专家 (CMoE) 模块的任务内对比混合,以减少主题差异和增强表示一致性.

    主要成果:

    • 与最先进的方法相比,ICDR模型在婴儿哭声检测和推理方面表现优越.
    • 在广泛的跨学科实验中,在F1得分 (2-9%) 中取得了显著的改善.
    • 验证了多任务学习和CMoE模块在增强模型概括方面的有效性.

    结论:

    • 多任务学习与任务间的注意力和任务内部的CMoE显著提高了婴儿哭声分析模型的概括能力.
    • 拟议的ICDR模型为在现实应用中更可靠的婴儿哭声解释提供了一个有希望的解决方案.