Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Perceiving Loudness, Pitch, and Location01:21

Perceiving Loudness, Pitch, and Location

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 identifying...
Auditory Perception01:17

Auditory Perception

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 cochlea, a...
Sound Intensity Level00:53

Sound Intensity Level

Humans perceive sound by hearing. The human ear helps sound waves reach the brain, which then interprets the waves and creates the perception of hearing. The loudness of the environment in which a person is located determines whether they can distinguish between different sound sources.
The human ear can perceive an extensive range of sound intensity, necessitating the use of the logarithmic scale to define a physical quantity—the intensity level. It is a ratio of two intensities and hence a...
Sound Intensity00:58

Sound Intensity

The loudness of a sound source is related to how energetically the source is vibrating, consequently making the molecules of the propagation medium vibrate. To measure the loudness of a source, the physical quantity of interest is the intensity. This is defined as the energy emitted per unit of time per unit of area perpendicular to the sound wave's propagation direction. Since the total energy is greater if the source vibrates for a longer duration and over a larger area, dividing the emitted...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Characterizing Auditory Deficits in Veterans With Traumatic Brain Injury: A Principal Component Analysis Approach.

American journal of audiology·2026
Same author

Own-Voice Perception with Different Processing Delays in Open-Fit Hearing Aids.

Trends in hearing·2026
Same author

Developing Topics.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025
Same author

Public Health.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025
Same author

At-Home Auditory Assessment Using Portable Automated Rapid Testing (PART) to Understand Self-Reported Hearing Difficulties.

Trends in hearing·2025
Same author

Effects of Gamification on Performance and Subjective Listening Effort on a Spatial Release From Masking Task.

Journal of speech, language, and hearing research : JSLHR·2025

Related Experiment Video

Updated: May 8, 2026

A Two-interval Forced-choice Task for Multisensory Comparisons
07:13

A Two-interval Forced-choice Task for Multisensory Comparisons

Published on: November 9, 2018

Acoustical correlates of performance on a dynamic range compression discrimination task.

Andrew T Sabin1, Frederick J Gallun, Pamela E Souza

  • 1Department of Communication Sciences and Disorders, Northwestern University, 2240 Campus Drive, Evanston, Illinois 60201, USA. a-sabin@northwestern.edu

The Journal of the Acoustical Society of America
|August 24, 2013
PubMed
Summary

Listeners can distinguish between dynamic range compression (DRC) and uncompressed signals. Compression

More Related Videos

A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss
07:12

A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss

Published on: April 11, 2025

Related Experiment Videos

Last Updated: May 8, 2026

A Two-interval Forced-choice Task for Multisensory Comparisons
07:13

A Two-interval Forced-choice Task for Multisensory Comparisons

Published on: November 9, 2018

A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss
07:12

A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss

Published on: April 11, 2025

Area of Science:

  • Auditory perception
  • Signal processing
  • Acoustics

Background:

  • Dynamic range compression (DRC) is vital for signal processing, but its perceptual impact remains unclear.
  • Compression alters signal amplitude envelopes, potentially causing audible distortions.

Purpose of the Study:

  • To quantify listener sensitivity to compression-induced distortions in speech signals.
  • To identify acoustic correlates of perceptual distinguishability between compressed and uncompressed signals.

Main Methods:

  • Listeners with normal and impaired hearing were tested on distinguishing noise-vocoded sentences with varying compression parameters.
  • Acoustic analyses, including modulation spectra and Euclidean distance, were correlated with behavioral sensitivity.

Main Results:

  • Listener sensitivity to compression was strongly correlated with modulation depth and Euclidean distance between modulation spectra.
  • This correlation held across different listening conditions, including time compression and hearing impairment.

Conclusions:

  • Acoustic measures, particularly modulation spectral differences, can predict the detectability of compression distortions.
  • This provides a potential method for assessing the perceptual impact of DRC in various auditory conditions.