Multi-Microphone Wind Strength Detection for Noise Suppression
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Solution Overview
Problem
Existing wind noise suppression systems are inefficient in optimizing power consumption and signal processing, and struggle to effectively suppress unwanted acoustic disturbances from air pressure and air flow, leading to degraded communication quality and speech intelligibility.
Innovation Solution
A system utilizing at least two primary microphones and a secondary detector to determine wind strength and noise estimate, with a signal processor that applies a noise reduction module to suppress wind noise in secondary signals, incorporating a mixing module to control signal mixing based on wind strength.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If complex noise suppression algorithms are used to improve wind noise suppression performance, then speech intelligibility improves, but power consumption increases
Solution Approach 1:
The system divides the audio signal processing into separate functional modules: wind detection module that identifies wind noise characteristics, speech activity detection module that identifies speech segments, and selective suppression module that applies noise suppression only to non-speech segments. This segmentation allows the system to achieve effective wind noise suppression while minimizing power consumption by avoiding continuous application of complex algorithms.
Solution Approach 2:
The system applies noise suppression selectively rather than continuously - it uses partial action by suppressing wind noise only during non-speech segments detected by the VAD module. This partial application of the suppression algorithm significantly reduces computational load and power consumption while maintaining speech intelligibility, as the complex algorithms are activated only when necessary.
2Measurement precision
If multiple microphones are used to improve wind noise detection accuracy, then measurement precision improves, but device complexity increases
Solution Approach 1:
The system combines the functionality of multiple microphones into a unified wind noise detection mechanism. By merging the signals from multiple microphones and processing them through a single wind detection module, the system achieves accurate wind noise detection without the complexity of completely independent processing chains for each microphone, thereby reducing overall system complexity while maintaining measurement precision.
Data Source
AI summary
A system for wind noise suppression is disclosed. The system comprising a first and a second primary microphone configured to generate a first and a second primary electric signal indicative of a first and second primary audio signal, respectively. The system further comprises a secondary detector configured to generate a first secondary electric signal indicative of a secondary audio signal. The system comprises a signal processor comprising a wind strength module configured to determine a wind strength, based on the first primary electric signal and the second primary electric signal, a wind noise module configured to determine a noise estimate, based on the wind strength, and a noise reduction module configured to process the first secondary electric signal to generate a noise-suppressed secondary signal, based on the determined noise estimate.