Adaptive ANC Filtering for Semi-Open Headset Leakage
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Solution Overview
Problem
Semi-open earphones lack effective noise cancellation due to the absence of a rubber cover, leading to varying audio playback experiences across different human ears and wearing postures, necessitating improved noise cancellation methods.
Innovation Solution
An active noise cancellation (ANC) method that determines and uses specific filtering parameters based on the current leakage state between the headset and the ear canal environment, adapting noise cancellation strength to enhance noise reduction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If semi-open earphone design is used without rubber cover, then comfort and wearability are improved, but noise isolation capability deteriorates
Solution Approach 1:
The noise control function is segmented into multiple filtering parameters (first group, second group, third group) corresponding to different leakage states. The system divides the noise cancellation task into discrete parameter sets that can be selectively applied based on the detected leakage condition, rather than using a single unified filtering approach.
Solution Approach 2:
The system dynamically adjusts the filtering parameters based on the detected leakage state. When leakage is detected, the system transitions from using the first group of filtering parameters to the second or third group, making the noise cancellation capability adaptive rather than static. This dynamic adjustment resolves the contradiction by enabling noise isolation only when and where needed.
2Device complexity
If fixed filtering parameters are used for noise cancellation, then device complexity is reduced, but noise cancellation effect deteriorates under varying leakage states
Solution Approach 1:
Multiple groups of filtering parameters (first group, second group, third group) are prepared in advance for different leakage states. The system performs preliminary configuration of these parameter sets, so when leakage is detected, the appropriate pre-prepared parameters can be immediately applied without complex real-time calculation, balancing simplicity with effectiveness.
Solution Approach 2:
The system changes filtering parameters based on the detected leakage state. By transitioning between different parameter groups (first group for no leakage, second/third group for leakage), the system adapts to varying conditions while maintaining relatively simple device architecture. The parameter changes are discrete and pre-defined rather than continuous and complex.
3Adaptability or versatility
If ANC is enabled in all leakage states, then noise cancellation coverage is improved, but energy consumption increases
Solution Approach 1:
The system applies noise cancellation partially - using the first group of filtering parameters only when no leakage is detected, and switching to the second or third group when leakage is detected. This partial application of ANC based on actual leakage conditions provides adequate noise cancellation coverage while avoiding unnecessary energy consumption in scenarios where leakage already provides sufficient noise isolation.
Data Source
AI summary
An active noise cancellation (ANC) method applied to a headset includes obtaining a first group of filtering parameters, and performing noise cancellation using the first group of filtering parameters. The first group of filtering parameters is one of N1 groups of filtering parameters prestored in the headset. The N1 groups of filtering parameters are respectively used to perform noise cancellation on ambient sound in N1 leakage states. The N1 leakage states are formed by the headset and N1 different ear canal environments. N1 is a positive integer greater than or equal to two.