Air-Bone Noise Reduction via Adaptive Signal Integration
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Solution Overview
Problem
Conventional dual-microphone noise reduction methods using bone conduction and air conduction microphones often result in hearing discomfort due to obvious switching sensations, especially in low signal-to-noise ratios, as they fail to effectively integrate noise reduction parameters from both sources.
Innovation Solution
A method that calculates priori signal-to-noise ratios for both air and bone conduction signals, integrates noise reduction parameters, and performs noise reduction operations based on these calculations to adaptively track and reduce noise, ensuring natural voice conveyance without switching sensations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If bone conduction low-frequency part is directly used to compensate air conduction microphone signal, then noise reduction effect is improved, but switching sensation occurs causing hearing discomfort
Solution Approach 1:
The patent merges bone conduction signal and air conduction signal through additive integration: y(n) = x(n) + α·z(n), where x(n) is air conduction signal, z(n) is bone conduction signal, and α is coupling coefficient. This combining approach allows the system to benefit from both signal sources simultaneously, achieving noise reduction while maintaining natural hearing sensation without switching between different signal paths.
2Object-affected harmful factors
If dual-microphone noise reduction method is used, then noise reduction capability is improved, but complexity of noise reduction algorithm increases
Solution Approach 1:
The patent uses adaptive parameter adjustment to simplify the algorithm. The coupling coefficient α is dynamically adjusted based on signal-to-noise ratio conditions and spectral characteristics, allowing the system to adapt to different acoustic environments without requiring complex decision logic. This parameter-based approach reduces algorithmic complexity compared to method-switching strategies.
Data Source
AI summary
A method for reducing noise includes: obtaining an air conduction noise reduction parameter and a bone conduction noise reduction parameter, the air conduction noise reduction parameter being obtained by integrating an air conduction parameter of the current frame and an air conduction noise parameter of the current frame, and the bone conduction noise reduction parameter being obtained by integrating a bone conduction parameter of the current frame and a bone conduction noise parameter of the current frame; calculating a priori signal-to-noise ratio of air-bone integration according to the bone conduction parameter of the current frame and the air conduction noise parameter of the current frame; and performing noise reduction operation according to the priori signal-to-noise ratio of air-bone integration, the air conduction noise reduction parameter and the bone conduction noise reduction parameter.