Dynamic Microphone Selection for Acoustic Shadowing Reduction
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Solution Overview
Problem
Wind noise processing in single-lens and dual-lens cameras suffers from acoustic shadowing artifacts due to the increased number of microphones and camera geometry, leading to suboptimal audio capture performance.
Innovation Solution
An image capture device with strategically positioned microphones and a processor that segments audio signals into low and high frequency bins, selects minimum signal levels, and generates a composite signal by combining these levels to reduce acoustic shadowing, using all microphones for low frequencies and a subset for high frequencies based on wind noise detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple microphones are used in dual-lens cameras, then audio capture capability is improved, but acoustic shadowing artifacts increase
Solution Approach 1:
The patent segments the audio signal processing into different frequency bins (low frequency and high frequency). Different microphone subsets are selected for different frequency ranges, allowing the system to utilize multiple microphones for improved audio capture while avoiding acoustic shadowing artifacts in specific frequency ranges where certain microphones perform poorly.
Solution Approach 2:
The patent dynamically selects which microphones to use based on device orientation and signal characteristics. The microphone subset changes dynamically according to the device's spatial orientation, allowing the system to adapt to different recording scenarios and minimize acoustic shadowing artifacts while maintaining optimal audio capture capability.
2Measurement precision
If all microphones are used for signal processing, then audio signal quality is improved, but wind noise processing performance deteriorates
Solution Approach 1:
The patent segments microphones into different groups based on their performance characteristics in various orientations. For each frequency bin, the system selects the minimum level signal bin from appropriate microphone groups, ensuring that microphones most susceptible to wind noise are excluded while maintaining overall audio signal quality through contributions from other microphones.
Solution Approach 2:
The patent applies different processing strategies to different frequency ranges. Low frequency bins utilize a broader set of microphones for improved signal quality, while high frequency bins use a more selective subset of microphones to maintain wind noise processing reliability. This local differentiation allows the system to optimize for both audio quality and wind noise rejection in their respective frequency domains.
Data Source
AI summary
An image capture device includes a processor for wind noise processing. The processor receives signals from microphones. The processor may segment the signals into low frequency bins and high frequency bins. The processor may select a minimum level signal bin for the low frequency bins. The processor may select a minimum level signal bin for the high frequency bins. The processor may generate a composite signal by combining the selected minimum level signal bins for the low frequency bins and the selected minimum level signal bins for the high frequency bins.