Equalizer Control Using Real-Time Audio Classification
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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 automatically classify audio signals in real-time and adjust parameters of devices like dialog enhancers, surround virtualizers, and equalizers based on confidence values of identified content types, enabling continuous and context-dependent processing.
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 algorithms, but the user experience becomes inconvenient and artifacts appear during transitions
Solution Approach 1:
The system automatically detects audio content type and adjusts processing parameters without requiring manual user intervention. The audio processing device autonomously identifies whether the input is music, speech, or other content types and applies appropriate processing algorithms, eliminating the need for users to manually select presets while maintaining audio quality consistency.
Solution Approach 2:
The system dynamically adjusts processing parameters in real-time based on the detected audio content type. Instead of using fixed manual presets, the processing characteristics change continuously according to the identified content, allowing smooth transitions between different audio types and preventing artifacts while maintaining optimal processing for each content type.
2Ease of manufacture
If discrete parameters are used in presets for specific content types, then the processing is simple to implement, but continuous adjustment based on content is not achieved
Solution Approach 1:
The system changes processing parameters continuously based on the detected audio content type. Rather than using fixed discrete preset values, the processing characteristics are adjusted according to the identified content type (music, speech, etc.), enabling versatile content-based adaptation while maintaining relatively simple implementation through automated detection and control.
Data Source
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.