Audio Signal Processing Direction-Based Algorithm Selection
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Solution Overview
Problem
Conventional audio signal processing methods in complex acoustic environments suffer from poor noise suppression due to the use of a uniform noise suppression technique across multiple audio acquisition devices, leading to interference from room reverb and other sources.
Innovation Solution
An audio signal processing method that determines the direction of a target sound source and selects a corresponding signal optimization algorithm based on pre-stored correspondences, allowing for optimized noise suppression by using algorithms like Chebyshev or differential array methods depending on the sound source direction and included angles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the same noise suppression technique is adopted for all audio signals, then the processing method is simple, but the noise suppression effect is poor
Solution Approach 1:
The patent applies different noise suppression algorithms to different audio signals based on their source directions. Specifically, it determines the direction of each audio signal and selects appropriate algorithms (e.g., beamforming for far-field sounds, spectral subtraction for near-field sounds) to suppress noise selectively, rather than applying a uniform suppression technique to all signals.
Solution Approach 2:
The patent changes the processing parameters by selecting different noise suppression algorithms based on the direction parameters of audio signals. The system adjusts algorithm selection dynamically according to signal characteristics, transforming a static uniform processing approach into a dynamic adaptive processing approach.
2Reliability
If different noise suppression techniques are used for different audio signals, then the noise suppression effect is improved, but the processing complexity increases
Solution Approach 1:
The patent performs preliminary action by pre-determining the directions of audio signals and pre-selecting appropriate noise suppression algorithms before actual noise suppression processing. This preliminary classification and algorithm selection simplifies the subsequent processing by avoiding real-time complex decision-making during the noise suppression stage.
Solution Approach 2:
The patent segments the audio signal processing into distinct stages: direction determination, algorithm selection, and noise suppression execution. By dividing the processing flow into separate modular steps, the system manages complexity through structured organization while maintaining effective noise suppression.
Data Source
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AI summary
The present disclosure discloses an audio signal processing method and device, an electronic equipment and a storage medium and belongs to the technical field of audios. The method includes that: an audio signal acquired by each audio acquisition device is acquired, and a direction of a target sound source sending the audio signal relative to multiple audio acquisition devices is determined according to the audio signal acquired by each audio acquisition device; a target signal optimization algorithm corresponding to the direction of the target sound source relative to the multiple audio acquisition devices is determined according to pre-stored correspondences between directions and signal optimization algorithms; and the audio signal acquired by each audio acquisition device is input into the determined target signal optimization algorithm to obtain an optimized audio signal. According to the present disclosure, the problem of poor noise suppression effect caused by the fact that the electronic equipment adopts the same noise suppression manner for acquired audio signals in the conventional art is solved, and an effect of improving the noise suppression effect is achieved.