Audio System Acoustic Calibration Need Detection
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Solution Overview
Problem
Audio systems in home environments require recalibration due to changes in furniture, drapes, or other environmental factors affecting acoustics, which users often fail to recognize, leading to suboptimal audio performance.
Innovation Solution
An automatic system that generates sound sequences, measures acoustic attributes, and compares them to stored values to determine if recalibration is needed, prompting or performing recalibration based on threshold differences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automatic acoustic measurement and comparison is implemented, then recalibration detection accuracy is improved, but device complexity increases
Solution Approach 1:
The audio system's existing speakers and microphones are utilized for dual purposes: normal audio playback and acoustic measurement. The speakers emit test signals and the microphones capture the resulting acoustic responses, eliminating the need for dedicated measurement hardware and reducing overall system complexity while maintaining measurement precision
Solution Approach 2:
The system performs self-diagnosis by automatically generating test signals, measuring acoustic attributes, comparing results to reference values, and determining whether recalibration is needed without external intervention. This self-service approach improves detection accuracy while avoiding the complexity of external measurement equipment
2Reliability
If acoustic attributes are continuously monitored, then audio performance optimization is improved, but energy consumption increases
Solution Approach 1:
Instead of continuous monitoring, the system performs acoustic measurements periodically or on-demand based on trigger events such as user interaction or detected environmental changes. This periodic approach maintains audio performance optimization while significantly reducing energy consumption compared to continuous operation
Solution Approach 2:
The system performs acoustic measurements and comparisons in advance to determine whether recalibration is needed before actual audio playback. By preparing calibration data beforehand and comparing it with current measurements, the system optimizes audio performance without requiring continuous energy-intensive monitoring during operation
Data Source
AI summary
Implementations generally relate to acoustic calibration of an audio system. In some implementations, a method includes generating one or more signals that include sound sequences. The method further includes emitting the one or more signals from one or more speakers in an audio environment. The method further includes receiving the one or more signals at one or more microphones in the audio environment. The method further includes measuring one or more acoustic attributes of the one or more signals that are received at the one or more microphones. The method further includes comparing current values of the one or more acoustic attributes that are measured to stored values of the one or more acoustic attributes. The method further includes determining if recalibration is needed based on the comparing of the current values to the stored values.