Volume Leveler Control Using Real-Time Audio Content Classification
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Solution Overview
Problem
Traditional audio processing systems require manual preset selection and lack continuous parameter adjustment, leading to inconvenient user experiences and audible artifacts when transitioning between different audio content types.
Innovation Solution
An audio processing apparatus that includes an audio classifier to identify audio types in real-time and an adjusting unit to continuously adjust audio improving devices such as dialog enhancers, surround virtualizers, volume levelers, and equalizers based on confidence values, enabling automatic configuration and smooth transitions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual preset selection is used for audio processing, then device complexity is reduced, but ease of operation deteriorates and productivity decreases
Solution Approach 1:
The system automatically classifies audio content and adjusts processing parameters without requiring user intervention. The audio classifier continuously analyzes the input signal and the adjusting unit autonomously modifies parameters of audio improving devices, enabling the system to serve itself rather than requiring manual preset selection from users.
Solution Approach 2:
The system transitions from static preset-based processing to dynamic continuous parameter adjustment. The adjusting unit continuously modifies parameters based on real-time audio classification results, allowing the audio processing characteristics to adapt dynamically to changing content types and transitions between different audio genres.
2Object-generated harmful factors
If discrete preset switching is used, then device complexity is reduced, but audible artifacts increase during transitions
Solution Approach 1:
The system implements continuous parameter adjustment rather than discrete switching. The adjusting unit continuously modifies processing parameters based on real-time audio classification, ensuring smooth transitions between different audio content types without the abrupt changes that cause audible artifacts in preset-based systems.
3Adaptability or versatility
If automatic audio classification is implemented, then adaptability improves, but device complexity increases
Solution Approach 1:
The audio processing system is segmented into distinct functional modules: an audio classifier unit that performs content analysis and an adjusting unit that modifies processing parameters. This modular segmentation allows the system to achieve high adaptability through specialized components while managing overall complexity through clear functional separation.
4Manufacturing precision
If continuous parameter adjustment is used, then audio quality improves, but loss of time increases due to processing overhead
Solution Approach 1:
The system applies partial adjustment by modifying only the necessary processing parameters based on audio content classification, rather than adjusting all parameters continuously. This selective approach maintains audio quality while reducing processing overhead and time loss compared to comprehensive continuous adjustment of all system parameters.
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.