2D Graphical Interface for Sound Personalization Algorithm Fitting
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Solution Overview
Problem
Conventional sound processing algorithms fail to account for subjective hearing preferences, making it difficult for users to navigate and fine-tune DSP parameters effectively, leading to suboptimal audio enhancement experiences.
Innovation Solution
A two-dimensional interface is introduced to perceptually disentangle and independently adjust compression and coloration parameters, allowing users to subjectively fit sound processing algorithms by navigating interlinked parameters on an x- and y-axis, enabling real-time dynamic adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automatic DSP parameter calculation is used based on hearing profile, then objective hearing correction is improved, but user subjective preference adjustment capability deteriorates
Solution Approach 1:
The DSP parameter adjustment process is segmented into two independent parts: automatic objective hearing profile calculation and manual subjective preference adjustment. The interface separates hearing threshold correction from perceptual preference tuning, allowing users to first receive automated hearing correction then independently adjust compression and coloration parameters according to personal taste without affecting the hearing profile accuracy.
Solution Approach 2:
A graphical user interface acts as an intermediary between the automated DSP system and user subjective preferences. The GUI provides visual feedback and control mechanisms that translate user perceptions of compression and coloration into parameter adjustments, mediating between objective measurement and subjective experience.
2Manufacturing precision
If comprehensive DSP parameter navigation is provided, then fitting precision is improved, but user operation complexity increases
Solution Approach 1:
The interface extracts and isolates the two most perceptually relevant DSP parameters (compression and coloration) from the complex set of all possible DSP parameters. By taking out only these critical parameters for user adjustment while keeping other parameters automatically managed, the system maintains fitting precision without requiring users to navigate overwhelming parameter complexity.
Solution Approach 2:
The system transforms the multidimensional DSP parameter space into a simplified two-dimensional interface representing compression and coloration perceptual dimensions. This dimensional reduction allows users to navigate and adjust parameters intuitively while the system handles the underlying complexity of multiple interconnected DSP parameters in the background.
3Ease of operation
If perceptual uncoupling of parameters is implemented, then user control intuitiveness is improved, but system complexity increases
Solution Approach 1:
The parameter control system is segmented to provide independent adjustment of compression and coloration parameters through perceptual uncoupling. Although the underlying system maintains complex interlinking between multiple DSP parameters, the user interface segments control into independent perceptual dimensions, making operation intuitive while the system manages the complexity of parameter interactions automatically.
Data Source
AI summary
Disclosed are systems and methods for fitting a sound personalization algorithm using a two-dimensional (2D) graphical fitting interface. A calculated set of initial digital signal processing (DSP) parameters are determined for a given sound personalization algorithm, based on a user hearing profile. The initial DSP parameters are outputted to a 2D graphical fitting interface of an audio personalization application, wherein a first axis represents a level of coloration and a second axis represents a level of compression. A user input specifies a first 2D coordinate selected from a coordinate space presented by the 2D graphical fitting interface. A first set of refined DSP parameters is generated to apply a coloration and/or compression adjustment corresponding to the first 2D coordinate. The given sound personalization algorithm is parameterized with the first set of refined DSP parameters.