Discrimination of frequency variance for tonal sequences

Andrew J. Byrne, Neal F. Viemeister, Mark A. Stellmack

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Real-world auditory stimuli are highly variable across occurrences and sources. The present study examined the sensitivity of human listeners to differences in global stimulus variability. In a two-interval, forced-choice task, variance discrimination was measured using sequences of five 100-ms tone pulses. The frequency of each pulse was sampled randomly from a distribution that was Gaussian in logarithmic frequency. In the non-signal interval, the sampled distribution had a variance of σSTAN2, while in the signal interval, the variance of the sequence was σSIG2 (with σSIG2 > σSTAN2). The listener's task was to choose the interval with the larger variance. To constrain possible decision strategies, the mean frequency of the sampling distribution of each interval was randomly chosen for each presentation. Psychometric functions were measured for various values of σSTAN2. Although the performance was remarkably similar across listeners, overall performance was poorer than that of an ideal observer (IO) which perfectly compares interval variances. However, like the IO, Weber's Law behavior was observed, with a constant ratio of (σSIG2- σSTAN2) to σSTAN2 yielding similar performance. A model which degraded the IO with a frequency-resolution noise and a computational noise provided a reasonable fit to the real data.

Original languageEnglish (US)
Pages (from-to)3172-3177
Number of pages6
JournalJournal of the Acoustical Society of America
Volume136
Issue number6
DOIs
StatePublished - Dec 1 2014

Bibliographical note

Publisher Copyright:
© 2014 Acoustical Society of America.

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