Audio Volume Leveling with Real-Time Content-Based Gain Control
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Solution Overview
Problem
Traditional audio processing systems require manual preset selection for different audio content types, leading to inconvenient user experiences and audible artifacts during transitions, as they lack continuous adjustment capabilities based on real-time content identification.
Innovation Solution
An audio processing apparatus and method that automatically classify audio signals in real-time and adjust parameters of devices like dialog enhancers, surround virtualizers, and equalizers based on confidence values, enabling continuous and content-based processing without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual preset selection is used for different audio content types, then the system can apply appropriate processing parameters, but the user experience becomes inconvenient and audible artifacts occur during transitions
Solution Approach 1:
The system automatically classifies audio content and adjusts processing parameters without requiring manual user intervention. The audio processing device autonomously identifies content type (dialog, music, effect) and selects appropriate processing modes, eliminating the need for users to manually switch presets while maintaining consistent audio quality across transitions
Solution Approach 2:
The system dynamically adjusts processing parameters based on real-time audio content classification. Instead of static manual presets, the processing mode changes continuously according to the detected audio type, enabling smooth transitions without audible artifacts while keeping the system easy to operate
2Adaptability or versatility
If discrete preset switching is used for audio processing, then different content types can be processed appropriately, but audible artifacts occur during transitions and continuous adjustment is lacking
Solution Approach 1:
The system implements continuous audio content classification and parameter adjustment rather than discrete preset switching. The processing parameters change continuously based on the audio content type detection, eliminating abrupt transitions and audible artifacts while maintaining adaptability to different content types through real-time classification
Data Source
AI summary
Volume leveler controller and controlling method are disclosed. In one embodiment, A volume leveler controller includes an audio content classifier for identifying the content type of an audio signal in real time; and an adjusting unit for adjusting a volume leveler in a continuous manner based on the content type as identified. The adjusting unit may configured to positively correlate the dynamic gain of the volume leveler with informative content types of the audio signal, and negatively correlate the dynamic gain of the volume leveler with interfering content types of the audio signal.


