Audio Processing Configuration for Target Frequency Response Tuning
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Solution Overview
Problem
Consumer electronics with small speakers face challenges in maintaining sonic performance due to resonances, poor bass response, limited processing capabilities, and difficulty in reproducing adequate loudness and stereo image, especially in noisy environments, requiring time-consuming tuning processes.
Innovation Solution
A computer-implemented method for determining an audio processing configuration using convergent optimization to match a target frequency response, which involves specifying audio processing sub-operations and adjusting control settings to minimize differences in frequency and phase responses, allowing for interactive tuning and efficient use of limited processing resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Volume of moving object
If small speakers are used in consumer equipment, then device size is reduced, but acoustic performance deteriorates due to resonances and poor bass response
Solution Approach 1:
The patent applies parameter changes by using digital signal processing to modify audio parameters (frequency response, equalization) to compensate for the physical limitations of small speakers. The system adjusts audio parameters dynamically to overcome resonances and improve bass response, allowing small speakers to deliver improved acoustic performance through software-based parameter optimization.
2Reliability
If traditional tuning processes are used, then audio quality can be improved, but time and skill requirements increase significantly
Solution Approach 1:
The system implements self-service through automated audio tuning algorithms that independently optimize audio parameters without requiring expert intervention. The processor automatically analyzes audio output and adjusts equalization, frequency response, and other parameters to achieve optimal sound quality, eliminating the need for time-consuming manual tuning by skilled personnel.
Solution Approach 2:
The patent replaces the mechanical/manual tuning process with an automated digital system. Instead of physical adjustment of audio components by experts, the system uses computer algorithms and digital signal processing to automatically optimize audio parameters, substituting human expertise with automated computational methods.
3Use of energy by moving object
If limited processing resources are used, then power consumption and device size are reduced, but audio processing capability deteriorates
Solution Approach 1:
The system applies partial action by implementing selective audio processing that focuses computational resources on the most critical frequency ranges and audio parameters. Instead of processing the entire audio spectrum uniformly, the system identifies and prioritizes processing of specific frequency bands that have the greatest impact on perceived audio quality, achieving effective audio enhancement with reduced processing power.
Data Source
AI summary
A computer-implemented method of determining a configuration for an audio processing operation, wherein the audio processing operation comprises a predetermined set of one or more audio processing sub-operations, each audio processing sub-operation being configurable with one or more respective configuration parameters, the method comprising: specifying the predetermined set of one or more audio processing sub-operations; specifying a target frequency response; and performing a convergent optimization process to determine a configuration for the audio processing operation that reduces a difference between the frequency response of the audio processing operation and the target frequency response, wherein the configuration comprises a respective value for each configuration parameter of each audio processing sub-operation.