High Ripple-Density Resolution for Discriminating Between Rippled and Nonrippled Signals: Effect of Temporal Processing or Combination Products?
Author(s) -
Dmitry Nechaev,
Olga N. Milekhina,
Marina Tomozova,
Alexander Ya. Supin
Publication year - 2021
Publication title -
trends in hearing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.54
H-Index - 49
ISSN - 2331-2165
DOI - 10.1177/23312165211010163
Subject(s) - ripple , resolution (logic) , acoustics , noise (video) , signal (programming language) , spectral density , mathematics , physics , optics , computer science , statistics , artificial intelligence , quantum mechanics , image (mathematics) , voltage , programming language
The goal of the study was to investigate the role of combination products in the higher ripple-density resolution estimates obtained by discrimination between a spectrally rippled and a nonrippled noise signal than that obtained by discrimination between two rippled signals. To attain this goal, a noise band was used to mask the frequency band of expected low-frequency combination products. A three-alternative forced-choice procedure with adaptive ripple-density variation was used. The mean background (unmasked) ripple-density resolution was 9.8 ripples/oct for rippled reference signals and 21.8 ripples/oct for nonrippled reference signals. Low-frequency maskers reduced the ripple-density resolution. For masker levels from −10 to 10 dB re. signal, the ripple-density resolution for nonrippled reference signals was approximately twice as high as that for rippled reference signals. At a masker level as high as 20 dB re. signal, the ripple-density resolution decreased in both discrimination tasks. This result leads to the conclusion that low-frequency combination products are not responsible for the task-dependent difference in ripple-density resolution estimates.
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