Auditory Excitation Pattern Computation Using Enhanced Detector Pruning
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Solution Overview
Problem
Conventional methods for calculating auditory patterns, such as the Moore-Glasberg method, are computationally expensive and often result in reduced accuracy when attempting to reduce complexity, leading to significant errors in loudness estimation due to the large number of detectors and frequency components required.
Innovation Solution
The method involves calculating a power spectrum, filtering it to obtain an effective power spectrum, determining an intensity pattern, and using enhanced iterative detector pruning to select a subset of pruned detector locations, thereby reducing computational complexity while maintaining high accuracy by interpolating the excitation pattern from these locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods (Moore-Glasberg) use a large number of detectors and frequency components to calculate excitation patterns, then measurement precision is improved, but device complexity and computational cost increase significantly
Solution Approach 1:
The patent extracts and removes unnecessary detectors and frequency components from the conventional Moore-Glasberg method. By identifying and eliminating redundant computational elements while retaining the essential components needed for accurate loudness estimation, the method achieves significant computational simplification without sacrificing measurement precision.
Solution Approach 2:
The patent employs simplified, computationally inexpensive approximations for the excitation pattern calculation. Instead of using complex, resource-intensive models, it adopts lighter computational representations that achieve comparable accuracy with fraction of the computational cost, effectively replacing expensive calculations with cheaper alternatives.
2Device complexity
If conventional methods reduce the number of detectors to decrease computational complexity, then device complexity is reduced, but measurement precision deteriorates due to significant errors in loudness estimation
Solution Approach 1:
The patent changes key parameters of the detection system, specifically the spacing and distribution of detectors along the basilar membrane. By optimizing these parameters, the method achieves accurate loudness estimation with fewer detectors. The parameter optimization ensures that computational complexity is reduced while measurement precision is maintained through strategic detector placement.
3Area of stationary object
If conventional methods use evenly spaced detectors throughout the auditory frequency range, then coverage is improved, but computational complexity increases due to the large number of detectors required
Solution Approach 1:
The patent applies local quality by using non-uniform spacing of detectors, concentrating them in frequency regions where the auditory system is most sensitive and where excitation patterns vary most rapidly. This allows for reduced overall detector count while maintaining adequate coverage and accuracy, as different regions of the frequency spectrum are sampled with appropriate local density.
Data Source
AI summary
A method includes the steps of calculating a power spectrum from an auditory stimulus, filtering the power spectrum to obtain an effective power spectrum, calculating an intensity pattern from the effective power spectrum, calculating a median intensity pattern from the intensity pattern, determining an initial set of pruned detector locations, examining the initial set of pruned detector locations to determine an enhanced set of pruned detector locations, and calculating an excitation pattern from the effective power spectrum using the enhanced set of pruned detector locations. By determining the enhanced set of pruned detector locations from the initial set of pruned detector locations and computing the excitation pattern therefrom, the computational complexity of the above method can be significantly reduced when compared to conventional approaches while maintaining the accuracy thereof.