Microphone Array Wind Noise Detection via Coherence Analysis
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Solution Overview
Problem
Dual-lens cameras face challenges in wind noise detection due to the number and geometry of microphones, which affect audio capture performance.
Innovation Solution
An image capture device with strategically positioned microphone assemblies and a processor that determines a microphone capture pattern based on image and audio data to detect wind noise using coherence values between microphones, allowing for adaptive microphone configuration for improved wind noise detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple microphones are used in dual-lens cameras, then audio capture capability is improved, but wind noise detection performance deteriorates
Solution Approach 1:
The patent divides the microphone array into multiple microphone assemblies positioned at different locations and orientations. Each assembly captures audio from its specific direction, allowing the system to segment the audio field and identify wind noise sources more accurately despite having multiple microphones.
Solution Approach 2:
The patent introduces coherence value calculation as an intermediary metric to assess the correlation between signals from different microphones. This intermediary measure enables the system to distinguish wind noise from legitimate audio sources by analyzing signal relationships across the microphone array.
2Device complexity
If fixed microphone configuration is used, then device complexity is reduced, but adaptability to different recording scenarios deteriorates
Solution Approach 1:
The patent implements dynamic microphone pattern selection where the system automatically chooses from multiple predefined beam patterns (e.g., omnidirectional, cardioid, figure-8) based on real-time analysis of image data and sensor inputs. This allows the fixed physical microphone configuration to produce dynamically adaptable audio capture characteristics.
Solution Approach 2:
The system uses feedback from image data, device orientation sensors, and audio coherence analysis to automatically adjust the selected microphone pattern. This closed-loop approach enables the system to adapt to different recording scenarios without requiring manual configuration or complex hardware changes.
Data Source
AI summary
An image capture device includes a sensor, a microphone array, and a processor. The microphone array may include a first microphone, a second microphone, a third microphone, or any combination thereof. The first microphone may be configured to face a first direction. The second microphone may be configured to face a second direction. The second direction may be diametrically opposed to the first direction. The third microphone may be configured to face a third direction. The third direction may be substantially perpendicular to the first direction, the second direction, or both. The processor may be configured to determine a microphone capture pattern and detect wind noise. The microphone capture pattern may be determined based on data obtained from the sensor. The sensor data may include image data, audio data, image capture device orientation data, location data, accelerometer data, or any combination thereof.