Audio Compressor Parameter Detection for Dynamic Range Setup
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Solution Overview
Problem
Existing audio processing techniques require manual adjustment of multiple parameters for dynamic range compression, which can be time-consuming and requires expertise, making it difficult for users to achieve effective dynamic range compression in media editing applications.
Innovation Solution
A method that analyzes audio content to automatically generate settings for an audio compressor, including noise gate, threshold, and ratio parameters, based on detected floor and peak audio levels, allowing for efficient dynamic range compression without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual adjustment of audio compression parameters is performed, then the quality of dynamic range compression can be optimized, but the time required and technical expertise needed increase significantly
Solution Approach 1:
The audio compressor automatically analyzes the audio signal and self-adjusts compression parameters (threshold, ratio, attack, release) without requiring manual intervention. The system performs real-time analysis of audio characteristics and autonomously optimizes compression settings, enabling the device to serve itself rather than requiring external operator input.
Solution Approach 2:
The system dynamically changes compression parameters based on real-time audio signal analysis. The threshold, ratio, attack, and release parameters are automatically adjusted according to the detected audio characteristics, allowing the compressor to adapt to different audio content and maintain optimal performance without manual reconfiguration.
2Manufacturing precision
If manual adjustment of audio compression parameters is performed, then the quality of dynamic range compression can be optimized, but the complexity of operation increases due to requiring technical expertise
Solution Approach 1:
The audio compressor automatically analyzes the audio signal and self-adjusts compression parameters (threshold, ratio, attack, release) without requiring manual intervention. The system performs real-time analysis of audio characteristics and autonomously optimizes compression settings, enabling the device to serve itself rather than requiring external operator input.
Solution Approach 2:
The patent replaces the manual mechanical adjustment process with an automated electronic control system. Instead of requiring users to manually tweak parameters based on acoustic knowledge, the system uses electronic signal analysis and automated control algorithms to determine and apply optimal compression settings.
3Productivity
If automated parameter detection is implemented, then the speed of operation increases, but the complexity of the device increases
Solution Approach 1:
The system performs preliminary analysis of the audio signal characteristics before applying compression. By pre-analyzing the audio content to identify key parameters such as peak levels, RMS levels, and dynamic range, the compressor can quickly determine appropriate settings without requiring complex real-time adjustments during compression.
Solution Approach 2:
The audio compression system is divided into separate functional modules: an analysis module that extracts audio characteristics, a parameter determination module that calculates optimal settings, and a compression module that applies the settings. This segmentation allows each module to specialize in specific tasks, improving overall efficiency while managing complexity through modular design.
Data Source
AI summary
For a media clip that includes audio content, a novel method for performing dynamic range compression of the audio content is presented. The method performs an analysis of the audio content. Based on the analysis of the audio content, the method generates a setting for an audio compressor that compresses the dynamic range of the audio content. The generated setting includes a set of audio compression parameters that include a noise gating threshold parameter (“noise gate”), a dynamic range compression threshold parameter (“threshold”), and a dynamic range compression ratio parameter (“ratio”).


