Earphone State Detection Using Dual Voice Pickup Sensors
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Solution Overview
Problem
Existing methods for detecting the state of earphones, such as coupling with the auditory canal, are inadequate in complex scenarios due to poor anti-noise performance and limited adaptability, primarily relying on a single relationship between audio signals, which fails to accurately determine the wearing state in noisy environments or varied conditions.
Innovation Solution
A method and device using multiple sensors, including a loudspeaker and two voice pickup sensors, one inside and one outside the auditory canal, to acquire and fuse state information based on characteristic relationships between input and picked-up signals, improving detection accuracy by considering both low-frequency leakage and sound insulation effects across different frequency bands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single relationship between audio signals is used for detection, then the detection method is simple, but the detection accuracy in complex scenarios deteriorates
Solution Approach 1:
The patent segments the detection system into multiple independent signal relationship analyses: (1) relationship between source audio signal and first audio signal for low-frequency leakage detection, (2) relationship between second audio signal and first audio signal for sound insulation detection. Each segment focuses on a specific acoustic characteristic, allowing comprehensive state determination through combination of multiple specialized detection channels rather than a single complex detection method
Solution Approach 2:
The patent transitions from single-dimension detection (one signal relationship) to multi-dimensional detection by introducing frequency domain analysis. It analyzes signals in different frequency bands (low-frequency band for leakage, medium-high frequency band for sound insulation) and combines multiple relationship dimensions (source-to-first-mic, second-mic-to-first-mic), thereby adding analytical dimensions to improve detection accuracy in complex scenarios
2Measurement precision
If multiple sensors and signal relationships are used for detection, then the detection accuracy in complex environments is improved, but the device complexity increases
Solution Approach 1:
The patent makes the existing sensors multi-functional: the first voice pickup sensor serves both as a listener for low-frequency leakage detection (analyzing source-to-first-mic relationship) and as a reference for sound insulation detection (analyzing second-mic-to-first-mic relationship). The second voice pickup sensor similarly participates in both detection channels. This multi-functionality allows comprehensive state detection without adding dedicated sensors for each function, thereby limiting the increase in device complexity
Solution Approach 2:
The patent merges multiple detection functions into a unified processing framework. Both low-frequency leakage detection and sound insulation detection share common signal sources (source audio signal, first audio signal, second audio signal) and are processed through integrated algorithms that analyze different relationships of the same sensor data. This merging approach consolidates the detection system rather than creating separate independent subsystems, controlling the complexity increase
3Adaptability or versatility
If low-frequency band amplitude changes are used for state detection, then the wearing state can be determined, but the anti-noise performance deteriorates
Solution Approach 1:
The patent introduces the second voice pickup sensor and the second audio signal as an intermediary element for noise rejection. By comparing the second audio signal (picked up outside the auditory canal) with the first audio signal (picked up inside the auditory canal), the system can identify and eliminate external noise components. This intermediary measurement channel acts as a reference for distinguishing between actual leakage signals and external noise interference
Solution Approach 2:
The patent implements feedback mechanisms where the detected wearing state and noise conditions are used to adjust the analysis. The system continuously monitors the relationship between source audio signal and picked-up signals, and when external noise is detected (through the second microphone comparison), it adjusts the detection thresholds and weighting to maintain accurate wearing state determination despite noisy conditions. This feedback loop enables adaptive detection that maintains performance across varying noise environments
Data Source
AI summary
A method, a device, and a storage medium involve detecting a state of an earphone based on multiple sensors. The earphone includes a loudspeaker located in an auditory canal, a first voice pickup sensor located in the auditory canal and disposed near the loudspeaker, and a second voice pickup sensor located outside the auditory canal. The method includes: first earphone state information is acquired according to a source audio signal input to the loudspeaker and a first audio signal picked up by the first voice pickup sensor; second earphone state information is acquired according to a second audio signal picked up by the second voice pickup sensor and the first audio signal picked up by the first voice pickup sensor; and a final detection result of the state of the earphone is output based on the first earphone state information and second earphone state information.