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Perception of Sound Waves

Perception of Sound Waves

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.
The pitch of a sound depends on the frequency and the pressure amplitude of the source. Two sounds of the same...

Hearing

Hearing

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.

Auditory Pathway

Auditory Pathway

Auditory pathways constitute the complex neural circuits responsible for transmitting and interpreting auditory information from the peripheral auditory system to the brain. Sound waves are initially captured by the outer ear, funneled through the ear canal, and reach the tympanic membrane (eardrum). These vibrations are transmitted via the middle ear's ossicles to the inner ear's cochlea.
When viewed cross-sectionally, the cochlea reveals the scala vestibuli and scala tympani flanking...

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Related Experiment Video

Updated: May 20, 2025

A Method to Study Adaptation to Left-Right Reversed Audition

A Method to Study Adaptation to Left-Right Reversed Audition

Published on: October 29, 2018

Multimodal Neural Acoustic Fields for Immersive Mixed Reality.

Guaneen Tong, Johnathan Chi-Ho Leung, Xi Peng

IEEE Transactions on Visualization and Computer Graphics

|March 26, 2025

Summary

We developed neural acoustic fields to create realistic spatial sound for immersive virtual and real environments. This method synthesizes audio from visual and geometric data, enhancing presence in mixed reality applications.

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Area of Science:

Computer Vision
Acoustics
Machine Learning

Background:

Neural radiance fields (NeRFs) excel at synthesizing novel views of scenes from images.
Synthesizing realistic spatial audio, especially in novel environments, remains a challenge.

Purpose of the Study:

To introduce multimodal neural acoustic fields for synthesizing spatial sound.
To enable immersive auditory experiences from novel viewpoints and in unseen environments.
To enhance presence in augmented and virtual reality applications.

Main Methods:

Developed a neural network model mapping environment geometry and visual features to audio characteristics.
Introduced a hybrid transformer-convolutional neural network for capturing reverberation and generating spatial sound.
Utilized audio-visual data from sparse positions to represent spatial acoustics.

Main Results:

The method successfully produces nonlinear acoustic effects like reverberations.
Demonstrated improved spatial audio quality compared to existing methods on synthetic and real-world data.
Validated enhanced audio perception in immersive mixed reality applications through user studies.

Conclusions:

Multimodal neural acoustic fields offer a novel approach to synthesizing realistic spatial audio.
The proposed method effectively learns and generates spatial acoustics for immersive experiences.
This technology has significant potential for advancing augmented and virtual reality applications.