Earphone Microphone Self-Detection for Abnormal Sound Pickup
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Solution Overview
Problem
Existing earphones with call functions often suffer from abnormal sound pickup due to tiny particles and liquids entering the microphone, leading to poor performance and short lifespan, as they lack effective processing methods for such issues.
Innovation Solution
Incorporating a dual-microphone system with self-detection functionality, where sound signals from both microphones are analyzed to determine abnormal states based on frequency response curves, allowing for targeted processing to address specific types of abnormalities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If a mesh cloth is pasted between the sound hole and microphone to prevent dust, then large foreign objects are prevented from entering, but tiny particles and liquids can still enter causing abnormal sound pickup
Solution Approach 1:
The system performs self-diagnosis by automatically detecting abnormal sound pickup through frequency response analysis and self-heals by switching to an alternative microphone when contamination is detected, eliminating the need for manual intervention
Solution Approach 2:
The system changes the operational parameter by switching from one microphone to another when contamination is detected, adapting to the degraded condition by utilizing the still-functional microphone to maintain call quality
2Shape
If the sound hole is made small for appearance design requirements, then the aesthetic appearance is improved, but the ability to prevent particle entry is reduced
Solution Approach 1:
The system automatically detects when the small sound hole allows particles to cause microphone contamination and self-heals by switching to the alternative microphone, maintaining functionality despite the design constraint
Solution Approach 2:
The system prepares for potential contamination by having a dual-microphone setup ready, so when particle entry occurs, the alternative microphone is already available to take over without service interruption
3Device complexity
If no abnormality processing function is implemented, then the device complexity remains low, but the earphone performance degrades and lifespan shortens when abnormalities occur
Solution Approach 1:
The earphone system performs self-diagnosis through frequency response analysis and self-heals by automatically switching to an alternative microphone when contamination is detected, maintaining high reliability without requiring external intervention or complex manual processing systems
Solution Approach 2:
The system continuously monitors sound pickup quality through frequency response analysis and uses this feedback to detect contamination and trigger automatic switching to the alternative microphone, creating a closed-loop reliability mechanism
Data Source
AI summary
The embodiments of the present application provide an earphone abnormality processing method, an earphone, a system, and a storage medium. In the embodiments of the present application, an abnormal state self-detection function is added to an earphone of an existing dual-microphone, and when the earphone is in a self-detection state, acquiring a sound signal picked up from a specified sound source by a primary microphone and a secondary microphone; and determining the type of abnormal state of the earphone according to a frequency response curve of the sound signal picked up by the primary microphone and the secondary microphone, and further performing abnormality processing on the earphone by using a processing manner adapted to the abnormal state of the earphone, thereby solving the difficulty in the prior art of being unable to process the sound pickup abnormality of an earphone, and improving the usage performance of an earphone and also facilitating the prolonging of the service life of the earphone.