Microphone Coherence Compression Tuning for Wind Noise
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Solution Overview
Problem
Image capture devices struggle with maintaining audio quality in the presence of wind noise, as existing audio compressors are preset and fail to dynamically adjust to varying wind conditions, leading to inconsistent audio levels and reduced listenability.
Innovation Solution
Implementing a system with at least two microphones to measure coherence, adjusting compression thresholds and parameters based on wind noise detection, using a look-up table to dynamically tune audio compressors to maintain audio at a nominal level and reduce wind noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If preset compression parameters are used, then the compressor operates simply and quickly, but audio quality deteriorates in windy conditions due to inability to adapt
Solution Approach 1:
The patent implements dynamic adjustment of compression parameters based on real-time wind noise detection. The system transitions from static preset parameters to dynamic parameters that adapt to changing environmental conditions, specifically adjusting compression threshold and ratio based on measured coherence between microphones to maintain audio quality in windy conditions
Solution Approach 2:
The system uses coherence measurement between multiple microphones as feedback to detect wind noise conditions. This feedback mechanism enables the compressor to automatically adjust its parameters based on the detected environmental conditions, creating a closed-loop control system that adapts to wind noise without manual intervention
2Object-affected harmful factors
If compression threshold is reduced to compress earlier, then wind noise is smoothed more effectively, but dynamic range is reduced
Solution Approach 1:
The compression threshold is made dynamic rather than fixed, adjusting based on detected wind noise conditions. During windy conditions, the threshold is reduced to enable earlier compression and smoother wind noise. During normal conditions, the threshold returns to default values, preserving the full dynamic range. This dynamic adjustment resolves the contradiction by applying threshold reduction only when necessary
Solution Approach 2:
The system changes the compression threshold parameter based on environmental conditions detected through coherence measurement. By modifying this key parameter dynamically, the system achieves effective wind noise smoothing when needed while maintaining optimal dynamic range preservation during normal operating conditions
3Reliability
If gain parameter is increased to maintain nominal audio level, then audio quality is maintained in windy conditions, but compression effect is reduced
Solution Approach 1:
The gain parameter is adjusted dynamically based on wind noise detection and the resulting compression applied to the signal. The system monitors the compressed audio level and applies appropriate gain to maintain nominal levels, creating a dynamic balance between compression effect and output level consistency that adapts to real-time conditions
Data Source
AI summary
An image capture device with dynamic wind noise compression tuning techniques is described. A technique includes detecting of the presence of wind noise by measuring coherence between at least two microphones. For a compressor, adjusting a default compression threshold and default compression parameters based on the coherence measurements. For each microphone, applying by the compressor the adjusted compression parameters when an audio signal is above the adjusted compression threshold and applying the default compression parameters when the audio signal is below the adjusted compression threshold.