Adaptive Noise Suppression Filtering for Full-Duplex Audio Signals
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Solution Overview
Problem
Existing audio signal processing techniques in full-duplex speech communication systems face challenges in achieving optimal noise suppression and speech intelligibility due to fixed minimum noise suppression filter values, leading to reduced audio quality and potential signal distortions.
Innovation Solution
An audio signal analyzer dynamically determines noise suppression filter values for each band of the audio signal, ensuring they are greater than or equal to a minimum value that depends on the signal's characteristics, allowing for flexible adjustment to maintain audio quality and suppress noise effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If fixed minimum noise suppression filter values are used, then noise suppression is achieved, but audio quality deteriorates due to signal distortions
Solution Approach 1:
The patent implements dynamic adjustment of minimum noise suppression filter values based on signal characteristics. Instead of using fixed filter values, the system continuously adapts the minimum filter values according to the analyzed signal properties, allowing optimal noise suppression while preserving audio quality across varying signal conditions.
Solution Approach 2:
The patent changes the parameter of minimum noise suppression filter values from fixed to variable. By making these filter values dependent on signal characteristics such as signal-to-noise ratio and spectral content, the system achieves adaptive noise suppression that maintains audio fidelity while effectively reducing noise.
2Object-affected harmful factors
If higher noise suppression is applied, then noise level decreases, but speech intelligibility deteriorates due to signal distortions
Solution Approach 1:
The patent applies different minimum noise suppression filter values to different frequency bands based on their specific characteristics. By analyzing signal properties in each band and setting appropriate minimum filter values locally, the system achieves effective noise suppression in noise-dominated bands while preserving speech information in speech-dominated bands.
Solution Approach 2:
The system uses feedback from signal analysis to dynamically adjust minimum noise suppression filter values. The analyzer continuously monitors signal characteristics and provides feedback to the filter adjustment mechanism, enabling real-time optimization of the balance between noise suppression and speech preservation.
3Ease of operation
If fixed minimum noise suppression filter values are used, then processing simplicity is maintained, but adaptability to different signal conditions deteriorates
Solution Approach 1:
The system performs self-adjustment of minimum noise suppression filter values through automatic signal analysis. The analyzer autonomously evaluates signal characteristics and determines appropriate minimum filter values without requiring manual intervention, maintaining processing simplicity while achieving high adaptability to varying signal conditions.
Data Source
AI summary
An apparatus for processing an audio signal includes an audio signal analyzer and a filter. The audio signal analyzer is configured to analyze an audio signal to determine a plurality of noise suppression filter values for a plurality of bands of the audio signal, wherein the analyzer is configured to determine a noise suppression filter value so that a noise suppression filter value is greater than or equal to a minimum noise suppression filter value and so that the minimum noise suppression value depends on a characteristic of the audio signal. The filter is configured for filtering the audio signal, wherein the filter is adjusted based on the noise suppression filter values.