Literature DB >> 31672006

Rippled-spectrum resolution dependence on frequency: Estimates obtained by discrimination from rippled and nonrippled reference signals.

Olga N Milekhina1, Dmitry I Nechaev1, Alexander Ya Supin1.   

Abstract

The resolution of spectral ripples is a useful test for the spectral resolution of hearing. However, the use of different measurement paradigms might yield diverging results because of a paradigm-dependent contribution of excitation-pattern and temporal-processing mechanisms. In the present study, ripple-density resolution was measured in normal-hearing listeners for several frequency bands (centered at 0.5, 1, 2, and 4 kHz), using two paradigms: (i) discrimination of a rippled-spectrum test signal from a rippled reference signal differing by the ripple phase pattern, and (ii) discrimination of a rippled-spectrum test signal from a nonrippled reference signal. For the rippled reference signals, the resolution slightly depended on signal frequency. For the nonrippled reference signals, the resolution depended on the signal frequency; it varied from 8.8 ripples/oct at 0.5 kHz to 34.2 ripples/oct at 4 kHz. Excitation-pattern and temporal-processing models of spectral analysis were considered. Predictions of the excitation-pattern model agreed with the data obtained with the rippled reference signals. In contrast, predictions of the temporal-processing model agreed with the data obtained with the nonrippled reference signals. Thus, depending on the used reference signal type, the ripple-density resolution estimates characterize the discrimination abilities of the corresponding mechanisms.

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Year:  2019        PMID: 31672006     DOI: 10.1121/1.5127835

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  3 in total

1.  Effect of level on spectral-ripple detection threshold for listeners with normal hearing and hearing loss.

Authors:  Erik J Jorgensen; Ryan W McCreery; Benjamin J Kirby; Marc Brennan
Journal:  J Acoust Soc Am       Date:  2020-08       Impact factor: 1.840

2.  High Ripple-Density Resolution for Discriminating Between Rippled and Nonrippled Signals: Effect of Temporal Processing or Combination Products?

Authors:  Dmitry I Nechaev; Olga N Milekhina; Marina S Tomozova; Alexander Y Supin
Journal:  Trends Hear       Date:  2021 Jan-Dec       Impact factor: 3.293

3.  Ripple density resolution dependence on ripple width.

Authors:  Alexander Ya Supin; Olga N Milekhina; Dmitry I Nechaev; Marina S Tomozova
Journal:  PLoS One       Date:  2022-07-22       Impact factor: 3.752

  3 in total

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