Hearing Aid Frequency Compression Using Band Merging
Solution Overview
Problem
Hearing aid devices struggle to effectively distinguish sound signals that mainly differ in frequency bands not selected for frequency compression, leading to difficulty in auditory perception.
Innovation Solution
A method for frequency compression in hearing aid devices that involves splitting the frequency range into bands, combining adjacent bands into groups, selecting a frequency band, and amplifying signal components based on energy from non-selected bands, using a form factor calculation to weight signal components across groups.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If frequency bands are combined into groups and one band is selected for frequency compression, then the frequency compression function can be implemented, but sound signals that mainly differ in the content of the channels not selected become difficult to distinguish
Solution Approach 1:
The patent combines multiple frequency bands into groups and merges the signal components from non-selected bands into the selected frequency band through amplification. This merging process allows the suppressed frequency information to be preserved and integrated into the target frequency band, maintaining auditory distinction while implementing frequency compression.
Solution Approach 2:
The patent applies different amplification factors to different frequency bands within each group. The amplification of non-selected bands is adapted locally based on the specific characteristics of each band and the selected band, allowing optimal preservation of auditory information while achieving frequency compression. This local adaptation ensures that important spectral information is not lost.
2Measurement precision
If multiple frequency bands are processed independently, then spectral resolution is maintained, but the complexity of the hearing aid device increases
Solution Approach 1:
The patent segments the frequency spectrum into multiple frequency bands that are then grouped together. This segmentation allows the system to process frequency information in a structured manner, maintaining spectral resolution by preserving distinct frequency components while reducing overall complexity through the grouping and selective processing approach.
Solution Approach 2:
The selected frequency band serves multiple functions: it acts as the primary carrier for frequency compression and simultaneously receives amplified contributions from non-selected bands. This multi-functionality reduces device complexity by using a single target band for multiple purposes rather than requiring separate processing paths for each frequency band.
Data Source
AI summary
With a hearing aid device suitable for executing a frequency compression, the aim is for different input signals entering the hearing aid device to be easily distinguishable even after frequency compression. To this end it is proposed that form factors should be determined from source frequency bands in which the signal components of the input signal present therein are not included in the output signal, these being included in the amplification of selected frequency bands, the signal components of which are included in the output signal.