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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.
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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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 Cochlea01:13

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The cochlea is a coiled structure in the inner ear that contains hair cells—the sensory receptors of the auditory system. Sound waves are transmitted to the cochlea by small bones attached to the eardrum called the ossicles, which vibrate the oval window that leads to the inner ear. This causes fluid in the chambers of the cochlea to move, vibrating the basilar membrane.
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Auditory Pathway01:15

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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.
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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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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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Enhanced multi-channel model for auditory spectrotemporal integration.

Yonghee Oh1, Lawrence L Feth1, Evelyn M Hoglund1

  • 1Department of Speech and Hearing Science, The Ohio State University, 110 Pressey Hall, 1070 Carmack Road, Columbus, Ohio 43210, USA.

The Journal of the Acoustical Society of America
|December 3, 2015
PubMed
Summary
This summary is machine-generated.

This study reviews psychoacoustic multi-channel models for signal detection, finding limitations in current models for spectral and temporal integration. Proposed improvements consider correlated responses, nonlinearities, and combined time-frequency processing for better accuracy.

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Area of Science:

  • Psychoacoustics
  • Auditory Perception
  • Signal Processing

Background:

  • Traditional multi-channel models in psychoacoustics describe detection improvement for multicomponent signals.
  • These models postulate energy transformation into a decision variable across auditory channels for performance evaluation.
  • Existing models are based on weighted linear summation compared to a decision criterion.

Purpose of the Study:

  • Review representative integration-based channel models focusing on auditory periphery signal-processing properties.
  • Identify major limitations of previous channel models in spectral, temporal, and spectrotemporal integration.
  • Propose improvements to existing channel models for enhanced accuracy in auditory perception research.

Main Methods:

  • Review of established integration-based channel models (e.g., Durlach's model).
  • Analysis of model performance concerning human listener data on spectral, temporal, and spectrotemporal integration.
  • Identification of limitations in applying previous models to complex auditory integration tasks.

Main Results:

  • Previous multi-channel models underestimate human listener performance in integration experiments.
  • Existing models fail to adequately process signals varying simultaneously in time and frequency.
  • Limitations are highlighted in spectral, temporal, and spectrotemporal integration tasks.

Conclusions:

  • Improvements to multi-channel models are necessary for accurate psychoacoustic predictions.
  • Proposed enhancements include incorporating correlated signal responses and nonlinear system properties.
  • A peripheral processing unit operating in both time and frequency domains is suggested for future models.