Audio Signal Enhancement Using Target-Type Classification
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Solution Overview
Problem
Existing audio signal enhancement methods affect the dynamics of other audio signals when enhancing weak audio signals, such as footstep sounds, in games played on electronic devices with low-power speakers.
Innovation Solution
An audio signal enhancement method that classifies and identifies audio types using a trained classifier, applying gain and dynamic range control only to target audio signals, while maintaining the integrity of non-target signals through median filtering and amplitude limiting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If fixed gain equalizer or dynamic range control is used to enhance weak audio signals, then the volume of weak audio signals is improved, but the dynamics of other audio signals are compressed and timbre is affected
Solution Approach 1:
The patent segments the audio signal into different types (target audio signals and non-target audio signals) based on classification results, and applies different processing strategies to each segment. Target audio signals receive enhancement processing while non-target audio signals maintain their original characteristics, thus resolving the contradiction between enhancing weak signals and preserving the dynamics of other signals
Solution Approach 2:
The patent applies local quality by providing different processing qualities to different parts of the audio signal. Specifically, gain and dynamic range control are applied locally to target audio signals only, while non-target audio signals are left unchanged, thereby enhancing the volume of weak signals without compressing the dynamics of other signals
Data Source
AI summary
The present application provides an audio signal enhancement method, apparatus, device and readable storage medium. Firstly, the first audio feature corresponding to the actual audio signal is obtained. Then, the first audio feature is inputted to a trained classifier for classification and identification, to obtain the audio-type representation data corresponding to the actual audio signal. Finally, a target audio signal conforming to a target audio type in the actual audio signal is enhanced with reference to the audio-type representation data, to obtain an enhanced audio signal. Through the implementation of the present application, the actual audio signal is classified and identified using the trained classifier, and the target audio signal conforming to the target audio type is enhanced, thereby effectively enhancing the target audio signal and improving the accuracy of enhancing the target audio signal.