Adaptive Noise Suppression Filtering for Full-Duplex Speech Audio
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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 noise-related distortions.
Innovation Solution
An adaptive audio signal processing method that determines noise suppression filter values based on characteristics of the audio signal, ensuring they are greater than or equal to a minimum value, 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 is reduced and signal distortions occur
Solution Approach 1:
The patent implements dynamic adjustment of noise suppression filter values based on signal characteristics. The filter values are no longer fixed but adapt in real-time according to the analyzed audio signal properties, allowing the system to maintain optimal noise suppression while preserving audio quality by reducing filter strength when speech is present.
Solution Approach 2:
The system changes the parameter of filter values from fixed to variable. By deriving filter values as a function of signal characteristics (such as SNR estimates, spectral features), the system dynamically adjusts the noise suppression intensity, preventing excessive attenuation of speech signals while maintaining noise reduction effectiveness.
2Object-affected harmful factors
If aggressive noise suppression is applied, then noise components are reduced, but speech intelligibility is compromised
Solution Approach 1:
The system employs feedback mechanisms where the output of noise suppression is analyzed to detect speech components. This feedback loop allows the system to identify when speech is present in the suppressed signal and adjust subsequent filtering to preserve speech intelligibility, creating a closed-loop control system that adapts to maintain both noise reduction and speech quality.
Solution Approach 2:
The patent applies partial noise suppression rather than aggressive complete suppression. By using moderate filter values derived from signal characteristics, the system achieves sufficient noise reduction without excessively attenuating speech components, maintaining a balance between noise suppression and speech preservation.
3Device complexity
If fixed filter values are used for simplicity, then device complexity is reduced, but adaptability to different acoustic environments is limited
Solution Approach 1:
The system implements self-service by automatically analyzing the acoustic environment and adjusting filter values without manual intervention. The noise suppression filter values are derived from real-time signal characteristics, allowing the system to adapt to different acoustic conditions autonomously, eliminating the need for complex manual configuration while maintaining high adaptability.
Solution Approach 2:
The system performs preliminary analysis of the audio signal to determine appropriate filter values before applying noise suppression. By pre-calculating filter parameters based on signal characteristics in each processing frame, the system prepares adaptive filter configurations that are optimized for the current acoustic conditions, enabling rapid adaptation without complex real-time adjustments.
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.