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Masked threshold changes associated with angular separation of noise and signal sources
1Department of Biology, University of New Brunswick, Saint John, N.B., Canada.
Scandinavian Audiology
|January 1, 1989
Summary
The head shadow effect significantly improves hearing for high-frequency sounds and click trains when the sound source and noise are separated. This head shadow effect reduces the importance of cross-correlation for signal detection in noise.
Area of Science:
- Auditory Neuroscience
- Psychoacoustics
- Signal Processing
Background:
- Understanding auditory spatial perception is crucial for diagnosing hearing impairments.
- The head shadow effect, a binaural phenomenon, influences sound localization and detection.
- Investigating the role of head shadow in masking release is essential for auditory models.
Purpose of the Study:
- To quantify threshold changes for pure tones and click trains at varying spatial separations between signal and masker.
- To determine the influence of the head shadow effect on masked thresholds at different frequencies.
- To evaluate the relevance of cross-correlation models in explaining binaural masking release.
Main Methods:
- Determined masked hearing thresholds for 0.5, 1, and 8 kHz pure tones and click trains.
- Varied the angular separation between the signal source and a white noise masker from 0 to 90 degrees.
- Assessed the impact of ear occlusion on masked thresholds for click train stimuli.
Main Results:
- No significant threshold changes were observed for 0.5 and 1 kHz pure tones.
- Masked thresholds for 8 kHz pure tones and click trains decreased linearly with increasing angular separation (9 dB and 13 dB, respectively).
- Occluding the ear directed towards the masker did not significantly alter click train masked thresholds, indicating a head shadow effect.
Conclusions:
- Threshold improvements at high frequencies and for click trains are primarily attributed to the head shadow effect.
- The head shadow effect, by reducing noise on the shielded side, enhances signal detection.
- These findings suggest that cross-correlation techniques may be less critical for signal detection in noise than previously thought.