Audio Signal Processing Apparatus for Shock Noise Suppression
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Hearing devices amplify external sounds but often output audio signals with noise, leading to sound quality distortion and inconvenience for users in various noise environments, as existing methods fail to effectively remove noise from audio signals.
Innovation Solution
A method and apparatus for processing audio signals in the frequency domain, involving energy analysis across frequency sections to detect noise and apply suppression gains, as well as using coherence between front and back signals to determine gain values for noise reduction, effectively removing noise and improving sound quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If noise removal processing is applied to audio signals, then noise is reduced, but sound quality distortion increases
Solution Approach 1:
The patent applies different processing strategies to different frequency regions. High-frequency components are suppressed more aggressively for noise removal, while low-frequency components are preserved to maintain sound quality. This localized quality control resolves the contradiction by targeting noise in specific frequency bands without degrading overall audio fidelity.
Solution Approach 2:
The patent dynamically adjusts processing parameters including threshold values, suppression ratios, and frequency band divisions based on the characteristics of the input audio signal. By changing these parameters adaptively, the system achieves effective noise removal while maintaining sound quality, resolving the contradiction between noise reduction and audio fidelity.
2Object-affected harmful factors
If aggressive noise suppression is applied, then noise removal effectiveness increases, but sound quality distortion increases
Solution Approach 1:
The patent employs dynamic threshold adjustment and adaptive suppression ratio control based on the detected noise characteristics and signal energy. The processing intensity varies dynamically with the input signal conditions, allowing aggressive suppression when noise is prominent while maintaining gentler processing for clean signals, thus resolving the contradiction between removal effectiveness and quality preservation.
Solution Approach 2:
The patent applies partial suppression to different frequency components rather than uniform suppression. By selectively applying suppression to specific frequency bands where noise is dominant while leaving other bands less affected, the system achieves effective noise removal without excessive distortion to the overall sound quality.
3Measurement precision
If frequency band division is increased for precise noise detection, then noise detection accuracy improves, but processing complexity increases
Solution Approach 1:
The patent divides the frequency spectrum into multiple bands and processes each band separately with appropriate thresholds and suppression ratios. This segmentation enables precise noise detection in each frequency region while maintaining manageable processing complexity through modular treatment of different bands rather than analyzing the entire spectrum uniformly.
Data Source
AI summary
A method of processing an audio signal is provided. The method includes: acquiring an audio signal of a frequency domain for a plurality of frames; dividing a frequency band into a plurality of sections; acquiring energies of the plurality of sections; detecting an audio signal including noise based on an energy difference between the plurality of sections; and applying a suppression gain to the detected audio signal.