Microphone Wind Noise Suppression via Adaptive Signal Compensation
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Solution Overview
Problem
Existing wind noise suppression technologies for microphones often lead to distortion of audio signals, as they struggle to effectively separate wind noise from voice signals without compromising the quality of the audio.
Innovation Solution
A method involving multiple microphones, where audio signals are received, wind noise and voice detection is performed, and a reference signal is determined to perform compensation operations on other audio signals, thereby reducing wind noise while preserving the low-frequency harmonics of the audio signal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If existing wind noise suppression technology is used, then wind noise is suppressed, but audio signal distortion occurs
Solution Approach 1:
The patent segments the audio signal processing by separating wind noise suppression from voice signal processing. It divides the audio spectrum into different frequency bands and applies different processing strategies to each band, allowing wind noise reduction in low-frequency bands while preserving voice characteristics in higher frequency bands, thus avoiding overall audio signal distortion
Solution Approach 2:
The patent applies local quality by treating different frequency components of the audio signal differently. It identifies and processes wind noise primarily in low-frequency bands separately from the voice signal processing, applying wind noise suppression only where needed while maintaining original quality in other bands, thereby reducing distortion
2Object-affected harmful factors
If wind noise suppression is applied to audio signals, then wind noise is reduced, but low-frequency harmonics are lost
Solution Approach 1:
The patent applies dynamics by adaptively adjusting the wind noise suppression strength based on the detected wind noise level and audio signal characteristics. When wind noise is detected, suppression is applied; when wind noise is absent, the system transitions to a different processing state that preserves low-frequency harmonics, thus avoiding unnecessary loss of information
Data Source
AI summary
A method of suppressing wind noise of microphone and an electronic device are disclosed. The method comprises: receiving a plurality of audio signals from a plurality of microphones; detecting presences of wind noise and voice in the plurality of audio signals; determining one of the plurality of audio signals as a reference signal based on a result of detecting the presences of wind noise and voice, the plurality of audio signals including the one of the plurality of audio signals and remaining audio signals; performing compensation operation on each of the remaining audio signals, based on the determined reference signal; and obtaining modified audio signals based on the remaining audio signals on which the compensation operation is performed.