Frame-Based WDRC Tuning for Source-Adaptive Audio Quality
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Solution Overview
Problem
Existing audio adjustment methods are not suitable for all audio signals due to varying sound characteristics of different audio sources, leading to inconsistent audio quality and potential damage to output devices.
Innovation Solution
The method involves dividing sound signals into frames, calculating maximum and average root mean square values, and adjusting wide dynamic range compression parameters to optimize audio parameters, ensuring appropriate power amplification within specific intervals to enhance music listening quality while preventing device damage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single audio adjustment is applied to all audio signals, then the audio processing is simple and fast, but the audio quality is inconsistent and not suitable for different audio sources
Solution Approach 1:
The patent applies dynamic adjustment of audio parameters by calculating RMS values for different sound frames and adjusting WDRC parameters based on the maximum and average RMS values. This allows the audio processing system to adapt dynamically to different audio sources and characteristics, resolving the contradiction between processing efficiency and adaptability.
Solution Approach 2:
The patent changes audio parameters (WDRC parameters) based on calculated RMS values to optimize audio quality for different sources. By adjusting parameters dynamically according to the audio signal characteristics, the system maintains both efficiency and adaptability.
2Ease of operation
If audio parameters are optimized for music listening, then music quality is enhanced, but other audio sources may experience distortion or excessive power levels
Solution Approach 1:
The patent applies local quality by treating different power intervals differently. It identifies the interval between maximum and average RMS values and applies power amplification only to this specific interval, while leaving other intervals unchanged. This localized approach enhances music quality without causing distortion or excessive power levels for other audio sources.
Data Source
AI summary
An audio parameter optimizing method and a computing apparatus related to audio parameters are disclosed. In the method, a sound signal is divided into multiple sound frames in a time domain, and a wide dynamic range compression (WDRC) parameter corresponding to the sound signal is determined according to a maximum root mean square (RMS) and an average RMS. Output powers corresponding to input powers between the maximum RMS and the average RMS in the WDRC parameter are increased. Accordingly, a proper parameter could be provided.