Audio Equalizer Control With Real-Time Content-Adaptive Adjustment
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Solution Overview
Problem
Existing audio processing systems require manual preset selection for different audio content types, leading to inconvenient user experience 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 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, allowing for automatic configuration and smooth parameter adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual preset selection is used for different audio content types, then the audio processing can be optimized for specific content, but the user experience becomes inconvenient and audible artifacts occur during transitions
Solution Approach 1:
The system automatically detects audio content types and adjusts processing parameters without requiring user intervention. The audio processing device performs self-service by continuously monitoring the audio signal, identifying content types (speech, music, game, etc.), and dynamically selecting appropriate processing algorithms and parameters, thereby eliminating the need for manual preset selection while maintaining optimal processing quality
Solution Approach 2:
The system transitions from static manual preset selection to dynamic automatic adjustment. The processing parameters are continuously adapted in real-time based on the detected audio content type, enabling smooth transitions between different content types without audible artifacts, while improving both processing reliability and user convenience
2Device complexity
If discrete parameters are used in presets for different audio content types, then the processing can be simplified, but continuous adjustment capabilities are lost leading to audible artifacts during transitions
Solution Approach 1:
The system implements continuous parameter adjustment by dynamically changing processing parameters based on the detected audio content type and confidence values. Instead of switching between discrete preset parameters, the system smoothly transitions parameters continuously, eliminating audible artifacts during content type transitions while maintaining manageable system complexity through automated control
Data Source
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AI summary
Equalizer controller and controlling method are disclosed. In one embodiment, an equalizer controller includes an audio classifier for identifying the audio type of an audio signal in real time; and an adjusting unit for adjusting an equalizer in a continuous manner based on the confidence value of the audio type as identified.