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相关概念视频

Perceiving Loudness, Pitch, and Location01:21

Perceiving Loudness, Pitch, and Location

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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...
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Tapes are essential in surveying for accurate, durable, and short-distance measurements. Made from lightweight, nylon-coated steel, they offer flexibility and strength for rugged outdoor use. The nylon coating protects against rust and wear, extending the tape's life. Standard lengths, around 30 meters, are marked in meters and millimeters for precision.Surveyors select tapes based on site conditions and accuracy needs. Lightweight, nylon-coated tapes are commonly used for ease of handling and...
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The human ear is not equally sensitive to all frequencies in the audible range. It may perceive sound waves with the same pressure but different frequencies as having different loudness. Moreover, the perception of sound waves depends on the health of an individual's ears, which decays with age. The health of one's ears may also be affected by regular exposure to loud noises.
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Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
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The Doppler effect has several practical, real-world applications. For instance, meteorologists use Doppler radars to interpret weather events based on the Doppler effect. Typically, a transmitter emits radio waves at a specific frequency toward the sky from a weather station. The radio waves bounce off the clouds and precipitation and travel back to the weather station. The radio frequency of the waves reflected back to the station appears to decrease if the clouds or precipitation are moving...
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相关实验视频

Updated: Jan 9, 2026

Sound Source Localization Testing in Single-sided Deafness Following Bone Conduction Intervention
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深度学习驱动的非接触声源定位通过多轴分析与激光多普勒振动计.

Jia-Wei Chen, Yu-Chuan Lee, Yi-Hao Jiang

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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    此摘要是机器生成的。

    本研究介绍了一种使用多轴振动分析和深度学习进行精确声音源定位的非侵入性方法. 该技术的准确性超过97%,为临床诊断和助听技术提供了进步.

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    科学领域:

    • 声学和信号处理
    • 生物医学工程 生物医学工程
    • 机器学习 机器学习

    背景情况:

    • 准确的声音源定位对于临床诊断和理解声信号的生理洞察力至关重要.
    • 传统的诊断工具在复杂的声音传播场景中面临局限性.
    • 需要非侵入性方法来提高诊断准确度和开发先进的辅助技术.

    研究的目的:

    • 开发和验证使用多轴振动分析和深度学习的非侵入性声音源本地化方法.
    • 为了高精度地估计声音源的到达方向 (DoA).
    • 探索临床诊断,声学工程和助听器的潜在应用.

    主要方法:

    • 使用激光多普勒振动计 (LDV) 来测量声音引起的表面振动.
    • 从Log Power Spectra (LPS) 提取了方向信息,并应用了多轴振动的理论建模.
    • 综合深度学习技术,包括卷积运算和贝叶斯推理,用于DoA估计.

    主要成果:

    • 实现了超过97%的平均分类准确度,用于在广的角度范围 (-90°至90°) 中将声音源定位.
    • 在实验中表现出一致的性能,使用两个不同的材料和不同的频率.
    • 在精确的DoA估计中验证了拟议框架的有效性.

    结论:

    • 多轴振动分析与深度学习相结合,为声音源定位提供了一个高度准确和非侵入性的方法.
    • 这种方法在提高心脏病学,肺病学和其他医学领域的诊断能力方面显示出显著的前景.
    • 这些发现为声学工程的进步和下一代助听技术的发展铺平了道路.