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Psychometric functions for gap detection in a yes-no procedure.

M Florentine¹, S Buus, W Geng

¹Institute for Hearing, Speech, and Language, Northeastern University, Boston, Massachusetts 02115, USA.

The Journal of the Acoustical Society of America

|January 1, 2000

Summary

The loudness-detector model accurately predicts gap detection across most frequencies, suggesting loudness processing is key for temporal resolution. However, low-frequency detection may involve additional cues like onset responses.

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Area of Science:

Auditory perception
Psychoacoustics
Signal processing

Background:

Temporal resolution is crucial for understanding auditory processing.
Gap detection in noise reveals insights into auditory system's timing capabilities.

Purpose of the Study:

To evaluate auditory models for temporal resolution.
To investigate decision processes in detecting brief auditory gaps.
To measure psychometric functions for gap detection across various frequencies.

Main Methods:

Measured psychometric functions for gap detection in bandpass noise.
Tested three normal-hearing listeners using a constant-stimulus, cued Yes-No paradigm.
Evaluated energy-detector and loudness-detector models with auditory filtering, nonlinearity, and integration.

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Main Results:

Minimum Detectable Gap (MDG) decreased with increasing frequency.
Psychometric function slopes increased with frequency up to 2 kHz, then plateaued.
The loudness-detector model accurately predicted MDG frequency dependence, except at 0.25 kHz.
The energy-detector model failed at low frequencies due to non-Gaussian energy distributions.

Conclusions:

Loudness processing appears critical for auditory gap detection, as predicted by the loudness-detector model.
Deviations at low frequencies suggest additional cues, potentially onset responses, aid gap detection.
The findings refine models of auditory temporal resolution and decision-making processes.