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

Perceiving Loudness, Pitch, and Location01:21

Perceiving Loudness, Pitch, and Location

202
The human brain perceives pitch through two primary mechanisms reflected in place theory and frequency theory. Each mechanism describes how sound waves are interpreted as specific pitches by the brain, offering insights into the intricate processes of auditory perception.
Place theory, or place coding, suggests that different pitches are heard because various sound waves activate specific locations along the cochlea's basilar membrane. The brain determines the pitch of a sound by...
202

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

A Dynamic Time Warping-Aware Series-Temporal Transformer for Automated Thresholding of Auditory Brainstem Responses.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same author

Machine learning-enhanced behavioural approach to detecting reactions to sound in infants and toddlers: proof-of-concept study.

International journal of audiology·2026
Same author

Evaluating the user-operated audible contrast threshold test as a language-independent proxy of speech-in-noise perception.

International journal of audiology·2026
Same author

Combining Speech-Evoked Potentials for More Sensitive Hearing Tests in Infants and Adults.

Ear and hearing·2026
Same author

Remote audiogram and notched-noise tests using Gaussian processes.

The Journal of the Acoustical Society of America·2026
Same author

Time-varying partial loudness of noise burst sequences in stationary noise with a similar level.

The Journal of the Acoustical Society of America·2026
Same journal

Community-Informed Adaptation of a School-Based Hearing Health Intervention: Formative Evaluation for an Effectiveness-Implementation Trial.

Ear and hearing·2026
Same journal

Hearing Difficulty, Health Literacy, and Poorer Health Among Adults in the United States: 2016 Behavioral Risk Factor Surveillance Study.

Ear and hearing·2026
Same journal

Cultural Differences in Listening Environments Between Hispanic and White Non-Hispanic Cochlear Implant Users.

Ear and hearing·2026
Same journal

Detection of Inner Ear Malformations Based on Simple Anatomical Measurements: A Model Approach.

Ear and hearing·2026
Same journal

Avoiding Cisplatin-Related Hearing Loss, Including Implementing Sodium Thiosulfate as Otoprotectant Into Daily Pediatric Clinical Practice: Proceedings Based on Evidence and Expert Opinion From the Ototoxicity Taskforce of the SIOP Supportive Care Network.

Ear and hearing·2026
Same journal

Quantifying Miscommunications in Triadic Conversations: Effects of Hearing Impairment, Hearing Aids, and Background Noise.

Ear and hearing·2026
查看所有相关文章

相关实验视频

Updated: Jun 13, 2025

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

使用听觉唤起的潜力和高斯过程的音频图表估计性能.

Michael Alexander Chesnaye1, David Martin Simpson2, Josef Schlittenlacher3

  • 1National Acoustic Laboratories, Hearing Australia, Sydney, Australia.

Ear and hearing
|September 12, 2024
PubMed
概括
此摘要是机器生成的。

积极学习的高斯过程准确地估计了成年人的听觉脑干响应音频图,减少了50%的测试时间. 这种先进的方法对下一代听力评估设备具有前景.

更多相关视频

Semi-Automated Analysis of Peak Amplitude and Latency for Auditory Brainstem Response Waveforms Using R
06:01

Semi-Automated Analysis of Peak Amplitude and Latency for Auditory Brainstem Response Waveforms Using R

Published on: December 9, 2022

2.5K
Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice
08:51

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice

Published on: May 10, 2019

11.6K

相关实验视频

Last Updated: Jun 13, 2025

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
Semi-Automated Analysis of Peak Amplitude and Latency for Auditory Brainstem Response Waveforms Using R
06:01

Semi-Automated Analysis of Peak Amplitude and Latency for Auditory Brainstem Response Waveforms Using R

Published on: December 9, 2022

2.5K
Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice
08:51

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice

Published on: May 10, 2019

11.6K

科学领域:

  • 听力学 听力学是指听力学.
  • 信号处理 信号处理
  • 机器学习 机器学习

背景情况:

  • 听觉唤起的潜能 (AEP) 对于婴儿听力评估至关重要.
  • 手动AEP分析是耗时和主观的,影响质量控制.
  • 需要客观的方法来改进基于AEP的听力评估.

研究的目的:

  • 评估高斯过程 (GPs) 与主动学习用于听觉脑干响应 (ABR) 成年人听力图估计.
  • 与传统方法相比,评估全科医生的准确性和效率.
  • 调查全科医生在自动听力值确定方面的潜力.

主要方法:

  • 在正常听力和听力受损的成年人中,应用全科医生积极学习估计ABR听力图.
  • 使用听力值估计错误评估的全科医生准确性.
  • 用值定位所需的时代数来测量测试时间.
  • 将GP的表现与临床医生视觉检查和标准行为测试进行比较.

主要成果:

  • 一般医生表现出无偏见的表现,估计误差的中位数为0 dB HL.
  • 与人类检查者相比,GP方法减少了约50%的测试时间.
  • 检查人员估计的临界值比行为临界值高5-15dB HL.

结论:

  • 积极学习的全科医生提供准确的,实时的ABR听力图估计.
  • 这种方法显著减少了测试时间,并引入了客观性.
  • 一般医生显示了下一代ABR听力评估设备的潜力.