Earphone Noise Reduction Parameter Adjustment via Energy Difference
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Solution Overview
Problem
Active noise reduction earphones fail to achieve the expected noise reduction effect due to variations in ear canal shapes and wearing habits among users, leading to inconsistent coupling states between the earphones and the ear canal, which affects user experience.
Innovation Solution
A noise reduction parameter setting method that uses a feedforward microphone and a feedback microphone to calculate an energy difference value between environmental and noise signals, determining a target noise reduction parameter value based on this difference to adjust noise reduction settings, ensuring optimal noise reduction even with different ear canal configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If noise reduction parameters are set based on laboratory design data, then the active noise reduction design effect can be achieved under ideal conditions, but the noise reduction effect deteriorates when users have different ear canal shapes or wearing habits
Solution Approach 1:
The system collects feedback signals from the feedback microphone and compares them with expected values to calculate an energy difference value. Based on this feedback, the system automatically adjusts the noise reduction parameters to match the actual coupling state, resolving the contradiction between design precision and user adaptability.
Solution Approach 2:
The system changes the noise reduction parameters dynamically based on the calculated energy difference value. By adjusting parameters according to actual user conditions rather than using fixed design values, the system achieves both design effectiveness and user adaptability.
2Device complexity
If the earphone device uses fixed noise reduction parameters from design stage, then the device complexity is low, but the noise reduction effect deteriorates due to varying coupling states
Solution Approach 1:
The earphone device automatically detects its own coupling state through the feedback microphone and self-adjusts the noise reduction parameters without requiring external intervention. This self-service mechanism maintains low device complexity while improving reliability through automatic adaptation.
Solution Approach 2:
The system uses feedback from the feedback microphone to automatically adjust parameters, eliminating the need for complex manual configuration while ensuring reliable noise reduction performance across different users.
3Adaptability or versatility
If noise reduction parameters are automatically adjusted based on energy difference calculation, then the adaptability to different users is improved, but the device complexity increases
Solution Approach 1:
The system performs automatic parameter adjustment using built-in microphones and processors, eliminating the need for external calibration equipment or complex user setup procedures. This self-service approach enables personalization while keeping device complexity manageable.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method allows for personalized noise reduction settings, improving the active noise reduction effect and enhancing user experience by adapting to individual ear canal differences and wearing habits.
Implementation Method 1
obtaining an environmental signal picked up by the feedforward microphone and a noise signal picked up by the feedback microphone
Data Source
AI summary
Disclosed are a noise reduction parameter setting method and apparatus, an earphone device and a storage medium. The method includes: obtaining, via the earphone device, the environmental signal picked up by the feedforward microphone and the noise signal picked up by the feedback microphone; and calculating the energy difference value between the environmental signal and the noise signal; obtaining the preset target noise reduction parameter value corresponding to the energy difference value, and setting the noise reduction parameter for the active noise reduction mode in the earphone device according to the target noise reduction parameter value.