Personalized Sound Equalizer Controls Using Percentile Gain Feedback
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Solution Overview
Problem
Existing sound equalization tools are complex and require expert knowledge, making it difficult for users to achieve a desired sound quality or listening experience.
Innovation Solution
A computer-implemented method using percentile values based on statistical norms for equalizer bands, allowing users to adjust audio output through a simplified graphical user interface with virtual controls, and storing personalization data for personalized sound profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional multi-band graphic and parametric equalizers are used, then sound quality adjustment capability is provided, but the system becomes complicated and difficult to understand for average users
Solution Approach 1:
The equalizer interface is segmented into three distinct frequency bands (bass, midrange, treble) with separate virtual controls for each band. This segmentation simplifies the complex multi-band equalizer into manageable sections that are easier for users to understand and adjust independently.
Solution Approach 2:
The system changes the parameter representation from traditional dB values to percentile-based normalized gain values. This parameter transformation makes the equalizer settings more intuitive by showing users how their adjustments compare to statistical norms, rather than requiring interpretation of absolute dB values.
2Measurement precision
If traditional equalization tools with dB values are used, then precise gain adjustment is possible, but users lack intuitive understanding of what values to select
Solution Approach 1:
The system provides feedback by displaying percentile values that indicate how a user's gain setting compares to the statistical distribution of preferences. This feedback loop helps users understand whether their adjustment is typical or extreme, guiding them toward preferred settings without requiring expert knowledge.
Solution Approach 2:
The system transforms the gain adjustment parameter from absolute dB values to relative percentile values based on statistical norms. This parameter change provides both precision (through controlled adjustments) and intuitiveness (through comparative feedback showing where the user falls in the preference distribution).
Data Source
AI summary
A computer-implemented method includes calculating percentile values for normalized gains in each of a plurality of equalizer bands, wherein the normalized gains are based on statistical norms for a distribution of gain values for each band of the plurality of equalizer bands. The computer-implemented method further includes receiving a user input adjusting a gain value for at least one band of the plurality of equalizer bands, wherein the user input is received from a graphical user interface showing adjustment values as the percentile values. The computer implemented method also includes adjusting an audio output of an audio playback device based on the received user input and causing the audio playback device to play the adjusted audio output.