Literature DB >> 8865634

Psychometric functions for the discrimination of spectral variance.

R A Lutfi1, K A Doherty, E Oh.   

Abstract

An experiment was conducted to measure the shape of the psychometric function for the discrimination of spectral variance. The stimuli were simultaneous tone complexes comprised of the six octave frequencies from 250 to 8000 Hz. On each presentation the levels of components in dB were drawn independently and at random from one of two normal distributions having identical means but different variances (sigma N = 1 dB, sigma S = 2-10 dB). In the standard two-interval, forced-choice procedure, the listeners' task was to indicate which complex had the greater variance in component level. The shape of the psychometric function for all five listeners was markedly different from that of an observer limited only by additive internal noise. It was consistent with an observer that gives weight to only one or two components in the complex. However, this result was inconsistent with the weighting functions computed from the trial-by-trial data from these listeners. Both measures can be reconciled if it is assumed that listener weights vary from trial to trial, or that decisions are based on the one tone in the complex having the maximum level.

Mesh:

Year:  1996        PMID: 8865634     DOI: 10.1121/1.417935

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


  3 in total

1.  The information-divergence hypothesis of informational masking.

Authors:  Robert A Lutfi; Lynn Gilbertson; Inseok Heo; An-Chieh Chang; Jacob Stamas
Journal:  J Acoust Soc Am       Date:  2013-09       Impact factor: 1.840

2.  Discrimination of frequency variance for tonal sequences.

Authors:  Andrew J Byrne; Neal F Viemeister; Mark A Stellmack
Journal:  J Acoust Soc Am       Date:  2014-12       Impact factor: 1.840

3.  No interaction between fundamental-frequency differences and spectral region when perceiving speech in a speech background.

Authors:  Sara M K Madsen; Torsten Dau; Andrew J Oxenham
Journal:  PLoS One       Date:  2021-04-07       Impact factor: 3.240

  3 in total

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