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Related Experiment Video

Updated: Feb 11, 2026

Author Spotlight: Optimizing EAS with Long Electrodes for Enhanced Cochlear Coverage and Hearing Preservation
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Hearing sensitivity to gliding rippled spectrum patterns.

Dmitry I Nechaev1, Olga N Milekhina1, Alexander Ya Supin1

  • 1Institute of Ecology and Evolution of the Russian Academy of Sciences, 33 Leninsky prospect, 119071 Moscow, Russia.

The Journal of the Acoustical Society of America
|May 3, 2018
PubMed
Summary

Human hearing sensitivity to gliding spectral ripples was studied. Lower gliding velocity limits were found with increased ripple density, suggesting complex auditory processing.

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Area of Science:

  • Auditory Perception
  • Psychoacoustics
  • Signal Processing

Background:

  • Understanding human auditory perception of complex sound patterns is crucial.
  • Spectral ripples, frequency-modulated sound components, influence sound quality and intelligibility.

Purpose of the Study:

  • To investigate human hearing sensitivity to gliding spectral ripple patterns.
  • To determine the relationship between ripple density and the limit of gliding velocity perception.
  • To propose a model explaining the observed auditory phenomena.

Main Methods:

  • Listeners discriminated gliding rippled noise signals from non-rippled reference signals.
  • Test signals featured 2-octave wide rippled noise with frequency-proportional ripple density and gliding velocity.
  • Limits of gliding velocity were measured across various ripple densities (1-7 ripples/octave).

Main Results:

  • The maximum tolerable gliding velocity decreased significantly with increasing ripple density.
  • Velocity limits ranged from 388.9 oct/s at 1 ripple/oct to 11.3 oct/s at 7 ripples/oct.
  • Log-log regression analysis revealed distinct slopes for velocity in oct/s (1.71) and ripple/s (0.71).

Conclusions:

  • Human auditory perception of gliding spectral ripples is density-dependent.
  • A model integrating excitation-pattern and temporal-processing mechanisms may explain these results.
  • Findings contribute to understanding the dynamic spectral processing capabilities of human hearing.