Dual-Microphone Headset Audio Mixing for Wide Speech Range
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Solution Overview
Problem
Existing headset microphones have limited input speech levels, sensitivity levels, signal-to-noise ratios (SNR), acoustic overload point levels (AOP), and dynamic range control (DRC) levels, leading to high distorted outputs when speech inputs exceed these limits.
Innovation Solution
A headset microphone system with two microphones and a digital signal processor that executes a dual microphone audio mixing module and low/high threshold detection module, mixing audio inputs between specific decibel thresholds to expand the speech output range without distortion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single microphone is used in the headset system, then the device complexity is reduced, but the speech input range and dynamic range control are limited
Solution Approach 1:
The speech capture function is segmented into two specialized microphones: a first microphone optimized for lower speech levels and a second microphone optimized for higher speech levels. Each microphone handles a specific dynamic range segment, allowing the system to capture a wider overall speech input range without requiring a single complex microphone to handle all levels simultaneously.
Solution Approach 2:
The system dynamically switches between the first and second microphones based on the detected speech level. The digital signal processor monitors input levels and automatically selects which microphone to use, creating a dynamic adaptation mechanism that optimizes performance across varying speech intensities without manual intervention.
2Measurement precision
If the microphone sensitivity is increased to capture softer speech, then the lower speech threshold is reduced, but distortion occurs at higher speech levels
Solution Approach 1:
Each microphone is assigned a specific quality characteristic suited to its operational range: the first microphone has higher sensitivity optimized for soft speech detection, while the second microphone has lower sensitivity optimized to handle loud speech without distortion. This local optimization of microphone characteristics resolves the contradiction by ensuring each microphone operates in its optimal performance zone.
Solution Approach 2:
The system changes the operational parameter (which microphone is active) based on the speech level parameter. By monitoring the input level and switching between microphones with different sensitivity parameters, the system maintains optimal measurement precision across the full dynamic range without entering distortion zones.
3Reliability
If the acoustic overload point is increased to handle louder speech, then the upper speech threshold is raised, but the signal-to-noise ratio deteriorates at lower levels
Solution Approach 1:
The speech level range is segmented into two zones: a lower zone handled by the first microphone with optimized signal-to-noise ratio for soft speech, and a higher zone handled by the second microphone with optimized acoustic overload point for loud speech. This segmentation allows each microphone to be tuned for its specific range without compromise.
Solution Approach 2:
The system dynamically selects the appropriate microphone based on real-time speech level detection. When speech exceeds a threshold level, the system switches from the first to the second microphone, maintaining reliable loud speech handling while preserving optimal signal-to-noise ratio characteristics for each operational regime.
4Adaptability or versatility
If dynamic range control is increased to capture a wider speech range, then the speech output range is expanded, but floor noise increases
Solution Approach 1:
The dynamic range control is segmented into two separate control ranges, each managed by a dedicated microphone. The first microphone handles the lower dynamic range with optimized floor noise characteristics for soft speech, while the second microphone handles the upper dynamic range with optimized characteristics for loud speech. This prevents the floor noise issue that would occur if a single microphone attempted to control the entire extended range.
Data Source
AI summary
A headset device including a headset microphone system having a first microphone to receive voice input from a user at a first speech decibel range, and a second microphone to receive the voice input from at a second speech decibel range and a digital signal microprocessor executing computer-readable program code of a dual microphone audio mixing module to mix the voice input from each of the first microphone and second microphone to a mixed audio output when the voice input detected at the first microphone exceeds a low decibel range threshold and falls below a high decibel range threshold at the second microphone and the digital signal processor generates a first audio output when the voice input detected at the first microphone falls below the low decibel range threshold and a second audio output when the voice input detected at the second microphone falls exceeds the high decibel range threshold.