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Lateralization of complex binaural stimuli: a weighted-image model
R M Stern1, A S Zeiberg, C Trahiotis
1Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213.
The Journal of the Acoustical Society of America
|July 1, 1988
Summary
This study introduces a new model for predicting sound laterality by analyzing neural activity patterns from filtered sounds. The model emphasizes consistent interaural delays and centrality for accurate perception of sound location.
Area of Science:
- Auditory Neuroscience
- Psychoacoustics
- Signal Processing
Background:
- Sound laterality perception is crucial for auditory scene analysis.
- Existing models often focus on envelope or fine structure cues for binaural processing.
Purpose of the Study:
- To propose a novel computational model for predicting subjective lateral position of bandpass auditory stimuli.
- To investigate the role of interaural cross-correlation function patterns in sound localization.
Main Methods:
- Bandpass filtering and rectification of auditory stimuli.
- Interaural cross-correlation analysis of rectified filter outputs.
- Modeling neural activity patterns, weighting based on straightness and centrality.
Main Results:
- The model successfully predicts perceived laterality for various low-frequency bandpass stimuli.
- Weighting of straightness and centrality in the cross-correlation function improves prediction accuracy.
- Demonstrated predictive power for stimuli with interaural time delays and phase shifts.
Conclusions:
- The proposed model offers a new framework for understanding sound laterality.
- Neural activity patterns, specifically cross-correlation function characteristics, are key to binaural hearing.
- This model provides an alternative to theories focusing solely on envelope or fine structure information.