Literature DB >> 11757938

Sources of variation in profile analysis. I. Individual differences and extended training.

W R Drennan1, C S Watson.   

Abstract

This study investigated two sources of variance in the ability to discriminate auditory profiles: individual differences and extended training. The goals of the study were (1) to determine the range and origins of individual differences in profile analysis and (2) to determine whether those who initially had poor sensitivity to changes in spectral shape could eventually acquire finer sensitivity. Profile stimuli had 11 components with equal-log spacing from 200-2200 Hz. Thresholds ranged from - 1 to -25 dB (signal level relative to the context level) across 46 listeners. The correlation between spectral-shape discrimination thresholds after 2000 trials and pure-tone intensity-discrimination thresholds was 0.36. The range of individual differences for pure-tone intensity discrimination and spectral-shape discrimination was about the same. Two groups of listeners were given extended practice on the profile task, one group that showed low thresholds after an initial 2000 trials of practice and another that showed much higher initial thresholds. All listeners improved during the course of the first 2000 trials of training. Most of the poor listeners continued to improve during 9000 trials of training. Individual differences in the listeners' sensitivity to changes in spectral shape still existed after the extended practice.

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Year:  2001        PMID: 11757938     DOI: 10.1121/1.1408310

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


  6 in total

1.  Spatial selective auditory attention in the presence of reverberant energy: individual differences in normal-hearing listeners.

Authors:  Dorea Ruggles; Barbara Shinn-Cunningham
Journal:  J Assoc Res Otolaryngol       Date:  2010-12-03

2.  An investigation of matching symmetry in the human pinnae with possible implications for 3D ear recognition and sound localization.

Authors:  Peter Claes; Jonas Reijniers; Mark D Shriver; Jonatan Snyders; Paul Suetens; Joachim Nielandt; Guy De Tré; Dirk Vandermeulen
Journal:  J Anat       Date:  2014-11-09       Impact factor: 2.610

3.  Distribution of spectral modulation transfer functions in a young, normal-hearing population.

Authors:  Eric C Hoover; Ann C Eddins; David A Eddins
Journal:  J Acoust Soc Am       Date:  2018-01       Impact factor: 1.840

4.  Perceptual learning of auditory spectral modulation detection.

Authors:  Andrew T Sabin; David A Eddins; Beverly A Wright
Journal:  Exp Brain Res       Date:  2012-03-15       Impact factor: 1.972

5.  Training listeners to identify the sounds of speech: I. A review of past studies.

Authors:  Charles S Watson; James D Miller; Diane Kewley-Port; Larry E Humes; Frederic L Wightman
Journal:  Hear J       Date:  2008-09-01

6.  Perceptual factors contribute more than acoustical factors to sound localization abilities with virtual sources.

Authors:  Guillaume Andéol; Sophie Savel; Anne Guillaume
Journal:  Front Neurosci       Date:  2015-01-29       Impact factor: 4.677

  6 in total

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