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 Experiment Videos

Spectral weights in profile listening.

B G Berg1, D M Green

  • 1Department of Psychology, University of Florida, Gainesville 32611.

The Journal of the Acoustical Society of America
|August 1, 1990
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

The birthday problem: repeated sampling of animal populations and ethics of experimental design.

Animal : an international journal of animal bioscience·2024
Same author

In vitro human skin absorption of linalool: Effects of vehicle composition, evaporation and occlusion on permeation and distribution.

International journal of pharmaceutics·2022
Same author

Neuronal architecture of the second-order CO<sub>2</sub> pathway in the brain of a noctuid moth.

Scientific reports·2020
Same author

The contact structure of Great Britain's salmon and trout aquaculture industry.

Epidemics·2019
Same author

Identifying genotype specific elevated-risk areas and associated herd risk factors for bovine tuberculosis spread in British cattle.

Epidemics·2018
Same author

Heterogeneous responses of temperate-zone amphibian populations to climate change complicates conservation planning.

Scientific reports·2017
Same journal

High-resolution depth estimation for multiple wideband sources in deep sea via sparse Bayesian learninga).

The Journal of the Acoustical Society of America·2026
Same journal

Depression markers in speech: An approach based on tract variables dynamics.

The Journal of the Acoustical Society of America·2026
Same journal

The oyster toadfish (Opsanus tau) alters active and diurnal calling amid vessel noise in New York City.

The Journal of the Acoustical Society of America·2026
Same journal

Experimental noise characterisation of phase-locked tandem-rotor in edgewise flight.

The Journal of the Acoustical Society of America·2026
Same journal

The tune-text-temporal synergy: Prosodic effects of final segmental weakening in Neapolitan.

The Journal of the Acoustical Society of America·2026
Same journal

Monitoring vessel movement above critical offshore infrastructure using distributed acoustic sensing.

The Journal of the Acoustical Society of America·2026
See all related articles

This study applied the COSS analysis to a profile listening task, revealing that listeners compare signal component levels to average nonsignal component levels. This across-channel comparison explains detection performance and individual listener differences.

Area of Science:

  • Psychoacoustics
  • Auditory perception
  • Signal detection theory

Background:

  • Profile analysis is a listening task requiring detection of spectral shape changes.
  • Listeners must detect increments in the middle component of an n-component spectrum.
  • Overall component levels vary randomly, necessitating focus on relative spectral shape.

Purpose of the Study:

  • To apply the COSS (Component Spectrum) analysis to a profile listening task.
  • To estimate spectral weights listeners assign to components during detection.
  • To investigate the across-channel comparison process in auditory perception.

Main Methods:

  • Implemented COSS analysis using small level perturbations in spectral components.
  • Generated COSS functions from perturbations to estimate spectral weights.

Related Experiment Videos

  • Collected data for 3, 5, and 11 components with varying perturbation levels.

    • Main Results:

    • Estimated spectral weights align with optimal detector models, comparing signal to nonsignal components.
    • Findings support the hypothesis of an across-channel comparison mechanism in profile analysis.
    • Analysis of a poor listener revealed patterns explaining their reduced detection performance.

    Conclusions:

    • Profile analysis likely involves comparing spectral components across auditory channels.
    • COSS analysis provides insights into individual differences in auditory detection.
    • The method can identify reasons for impaired performance in listeners with hearing deficits.