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