Headphone ANC Filter Adaptation for Leakage Variations
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Solution Overview
Problem
Existing active noise control (ANC) systems for headphones face challenges due to variations in ear and ear canal structures among users, as well as different wearing manners, which lead to inconsistent noise reduction and user experience.
Innovation Solution
The ANC method and system for headphones dynamically adjust noise feedforward filter parameters based on leakage monitoring parameters derived from noise feedforward and feedback signals, ensuring effective noise reduction without requiring user intervention to adjust the headphone fit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the headphone structure is fixed for all users, then the device complexity is reduced, but the ANC performance deteriorates due to leakage variations from different ear structures and wearing manners
Solution Approach 1:
The patent implements dynamic adjustment of FF filter parameters based on real-time leakage monitoring. The system continuously monitors leakage conditions and adapts the noise feedforward filter parameters accordingly, transforming a static headphone structure into a dynamic system that adjusts to different users and wearing conditions, thereby resolving the contradiction between fixed structure and variable performance
Solution Approach 2:
The system changes the parameters of the FF filters based on detected leakage conditions. By monitoring leakage characteristics and adjusting filter parameters (such as gain, frequency response) in response, the system maintains effective ANC performance across different ear structures and wearing manners without requiring structural changes to the headphone itself
2Device complexity
If the ANC system uses fixed filter parameters, then the device complexity is reduced, but the adaptability deteriorates due to different user ear structures and wearing manners
Solution Approach 1:
The patent employs a feedback mechanism where the system monitors leakage conditions through microphones and uses this information to adjust FF filter parameters. The leakage monitoring signal feeds back to the control system, which then adapts the filter settings, creating a closed-loop control system that enhances adaptability while maintaining reasonable complexity
Solution Approach 2:
The ANC system performs self-adjustment based on automatic leakage detection. The system monitors its own performance through embedded microphones and automatically adjusts filter parameters without requiring external intervention or user calibration, enabling the system to adapt to different users and conditions autonomously
3Reliability
If the headphone requires user adjustment for optimal fit, then the ANC performance is improved, but the ease of operation deteriorates
Solution Approach 1:
The system automatically monitors leakage conditions and adjusts FF filter parameters without requiring user intervention. The leakage monitoring microphones detect seal quality and fit variations, and the control system autonomously adapts the noise cancellation parameters, eliminating the need for manual user adjustment while maintaining optimal ANC performance
Solution Approach 2:
The system dynamically changes filter parameters based on detected leakage conditions rather than requiring physical adjustment of the headphone fit. By adjusting acoustic parameters (gain, frequency response) in response to detected seal quality, the system maintains effective noise reduction across different wearing conditions without burdening the user with adjustment requirements
Data Source
AI summary
In certain aspects, an active noise control (ANC) method and system for a headphone are disclosed. It is determined whether a music signal is played by a speaker of the headphone. Responsive to the music signal not being played by the speaker and a noise level of an ambient noise signal being greater than a noise threshold, a set of noise feedforward (FF) signals is obtained based on a set of FF microphone signals acquired by a set of FF microphones of the headphone. A noise feedback (FB) signal is obtained based on a first FB microphone signal acquired by a FB microphone of the headphone. A set of leakage monitoring parameters is obtained based on the set of noise FF signals and the noise FB signal. A set of FF filter parameters for a set of FF filters is adjusted based on the set of leakage monitoring parameters.