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Related Concept Videos

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.
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The auditory system is essential for sound perception, utilizing various critical structures. When sound waves enter the outer ear, they travel through the ear canal and cause the eardrum to vibrate. These vibrations are then transmitted to the middle ear, where three tiny bones – the malleus, incus, and stapes – amplify the sound. This amplification is crucial, as it ensures that the sound vibrations are strong enough to be conveyed to the inner ear. These vibrations then reach the...
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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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When we hear a sound, our nervous system is detecting sound waves—pressure waves of mechanical energy traveling through a medium. The frequency of the wave is perceived as pitch, while the amplitude is perceived as loudness.
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Related Experiment Video

Updated: Jan 10, 2026

Sound Source Localization Testing in Single-sided Deafness Following Bone Conduction Intervention
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An auditory-visual cooperative perception method for honking vehicle localization.

Fei Yuan1, Junxi Kang2, Jiao Yin3

  • 1School of Automation, Guangdong Polytechnic Normal University, Guangzhou, Guangdong, China.

Plos One
|November 21, 2025
PubMed
Summary
This summary is machine-generated.

A new auditory-visual cooperative perception (AVCP) method accurately locates honking vehicles. This approach overcomes limitations of traditional sound localization, offering improved noise resistance and detection range for traffic noise control.

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Area of Science:

  • Acoustics
  • Computer Vision
  • Artificial Intelligence

Background:

  • Traditional sound source localization for honking vehicles is inaccurate due to multipath effects and noise.
  • Environmental noise and limited detection range hinder effective control of arbitrary honking.

Purpose of the Study:

  • To propose and evaluate an auditory-visual cooperative perception (AVCP) method for accurate honking vehicle localization.
  • To enhance the detection range and noise resilience of honking vehicle identification systems.

Main Methods:

  • Utilized Emphasized Channel Attention, Propagation, and Aggregation in Time-Delay Neural Network (ECAPA-TDNN) for audio-based vehicle model recognition.
  • Employed YOLO v9 for visual vehicle detection and model recognition from camera feeds.
  • Integrated audio and visual data to identify the honking vehicle by matching recognized models.

Main Results:

  • The AVCP method demonstrated superior performance in identifying and locating honking vehicles.
  • Experimental results showed reduced susceptibility to environmental noise compared to traditional methods.
  • The AVCP method achieved more accurate vehicle localization from greater distances.

Conclusions:

  • The proposed AVCP method offers a robust solution for honking vehicle localization.
  • This approach significantly improves upon traditional sound source localization techniques.
  • AVCP enhances traffic noise control by enabling more precise and reliable honking vehicle identification.