Dual-Microphone Earpiece Mixing for Background Noise Control
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Solution Overview
Problem
Existing earpiece devices face challenges in managing multiple microphones to effectively suppress background noise during voice communications and music listening, particularly in noisy environments, where noise suppressors fail to enhance the listening experience due to inadequate acoustic management.
Innovation Solution
The implementation of a method and device for acoustic management control using multiple microphones, where an Ambient Sound Microphone and an Ear Canal Microphone capture and mix signals based on background noise levels, adjusting gains and filtering to optimize audio quality, and incorporating a processor to suppress echoes and manage voice activity levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple microphones are used to capture audio signals, then noise suppression capability is improved, but device complexity increases due to lack of acoustic management control
Solution Approach 1:
The system dynamically adjusts the mixing ratio between ambient sound microphone signal and ear canal microphone signal based on detected background noise levels. When background noise is high, the system increases reliance on ear canal microphone signals; when background noise is low, it increases reliance on ambient sound microphone signals. This dynamic adaptation resolves the contradiction by automatically optimizing microphone usage without requiring complex manual acoustic management control.
Solution Approach 2:
The system continuously monitors background noise levels and uses this feedback to adjust the signal mixing ratio in real-time. The processor detects noise characteristics and automatically modifies the gain applied to each microphone source, creating a closed-loop control system that simplifies acoustic management while maintaining effective noise suppression.
2Reliability
If background noise levels increase, then noise suppression is improved by increasing internal gain, but external gain must be decreased which may reduce ambient sound quality
Solution Approach 1:
The system changes the mixing ratio parameter between internal and external microphone signals based on background noise levels. When noise increases, the system increases the weight of ear canal microphone signals and decreases ambient sound microphone signals. This parameter adjustment achieves noise suppression while preserving ambient sound quality by selectively emphasizing the cleaner internal signal only when necessary.
3Measurement precision
If frequency weighted selective mixing is applied, then signal intelligibility is improved, but processing complexity increases
Solution Approach 1:
The system applies different processing characteristics to different frequency ranges of the audio signals. Frequency-weighted filtering is applied selectively to enhance speech intelligibility in critical frequency bands while maintaining natural sound quality in other bands. This localized processing approach improves intelligibility without requiring complex full-spectrum processing.
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 solution enhances audio quality by dynamically adjusting signal gains and filtering based on background noise, effectively reducing noise interference and improving voice communication clarity in noisy environments.
Implementation Method 1
capturing an ambient acoustic signal from at least one Ambient Sound Microphone (ASM) to produce an electronic ambient signal
Implementation Method 2
capturing in an ear canal an internal sound from at least one Ear Canal Microphone (ECM) to produce an electronic internal signal
Implementation Method 3
mixing the electronic ambient signal with the electronic internal signal in a ratio dependent on the background noise signal to produce a mixed signal
Data Source
AI summary
An earpiece (100) and a method (640) for acoustic management of multiple microphones is provided. The method can include capturing an ambient acoustic signal from an Ambient Sound Microphone (ASM) to produce an electronic ambient signal, capturing in an ear canal an internal sound from an Ear Canal Microphone (ECM) to produce an electronic internal signal, measuring a background noise signal, and mixing the electronic ambient signal with the electronic internal signal in a ratio dependent on the background noise signal to produce a mixed signal. The mixing can adjust an internal gain of the electronic internal signal and an external gain of the electronic ambient signal based on the background noise characteristics. The mixing can account for an acoustic attenuation level and an audio content level of the earpiece. Other embodiments are provided.


