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

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.

Sources of variation in profile analysis. II. Component spacing, dynamic changes, and roving level.

Profile-analysis experiments have typically employed static profiles with constant frequency components spaced at equal intervals along a logarithmic frequency axis. Most periodic, naturally occurring stimuli, however, have components that are harmonically related and vary dynamically in time. One goal of these studies was to determine whether amplitude-increment detection thresholds are different in dynamic, harmonically spaced profiles compared to those for static-log profiles, and why such differences might exist. A second goal was to determine the impact of roving levels (within-trial variation of level). Thresholds for static-log profiles were, on average, 8.7 dB lower than for static-harmonic profiles. A traditional filter-bank model could not account for this result. No consistent effect of dynamic contour (an exponential rising frequency glide) was observed. Thresholds were consistently poorer by 4 to 7 dB when the level was roved, but the differences in thresholds among the different profiles varied little. It is proposed that the higher thresholds observed in static-harmonic profiles may be accounted for by the more intense pitch strength associated with the harmonic profiles.