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Detection threshold microstructure and its effect on temporal integration data

M F Cohen

    The Journal of the Acoustical Society of America
    |February 1, 1982
    PubMed
    Summary
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    Auditory detection thresholds shift with small frequency changes, revealing complex microstructure. Temporal integration varies with frequency sensitivity, influenced by signal duration and energy spread.

    Area of Science:

    • Auditory perception
    • Psychoacoustics
    • Signal processing

    Background:

    • Auditory detection thresholds are fundamental to understanding hearing.
    • The microstructure of these thresholds, particularly concerning frequency changes, is not fully understood.
    • Temporal integration effects on auditory thresholds require further investigation.

    Purpose of the Study:

    • To investigate shifts in auditory detection thresholds with small frequency variations.
    • To characterize the microstructure of the auditory detection threshold curve.
    • To determine the impact of signal duration on auditory detection threshold microstructure and temporal integration.

    Main Methods:

    • Auditory detection thresholds measured using an adaptive two-interval, two-alternative forced-choice (2IFC) procedure.

    Related Experiment Videos

  • Thresholds assessed at multiple preselected frequencies.
  • An additional experiment examined the effect of varying signal duration on threshold microstructure.
  • Main Results:

    • Detection thresholds shifted by 2 to 14 dB with minor signal frequency changes.
    • No uniform pattern was observed in the microstructure of the detection threshold curve.
    • Temporal integration functions were steeper for more sensitive frequencies (3.7 dB/doubling) than less sensitive ones (1.7 dB/doubling).

    Conclusions:

    • Small frequency changes induce significant shifts in auditory detection thresholds.
    • The microstructure of auditory detection thresholds is complex and lacks a uniform pattern.
    • Differences in temporal integration steepness are likely due to energy spread from signal duration, not processing variations.