Audio Volume Leveling with Real-Time Content-Adaptive Gain Control
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Solution Overview
Problem
Existing audio processing systems struggle with manual preset selection for different audio content types, leading to inconsistent audio processing and audible artifacts, especially when transitioning between content types.
Innovation Solution
An audio processing apparatus that automatically classifies audio signals in real time into multiple types, estimating confidence values for each type, and adjusts audio improving devices like dialog enhancers, surround virtualizers, and equalizers in a continuous manner based on these values, using normalization to determine optimal parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual preset selection is used for different audio content types, then users can choose appropriate processing parameters, but the operation becomes inconvenient and users tend to keep using one preset for all content
Solution Approach 1:
The system automatically detects audio content type and adjusts processing parameters without user intervention. The audio processing device performs self-service by continuously monitoring audio signals, classifying content types (movie, music, VoIP, game), and dynamically selecting appropriate presets, eliminating the need for manual user selection while maintaining adaptability to different content
Solution Approach 2:
The system transitions from static preset selection to dynamic parameter adjustment. Processing parameters change continuously based on real-time audio content analysis, allowing the system to adapt to different content types on the fly rather than requiring manual switching between fixed presets
2Reliability
If discrete parameters or algorithms are set in presets for specific content types, then processing can be optimized for that content, but artifacts become audible at transition points between content types
Solution Approach 1:
The system uses dynamic parameter adjustment with smooth transitions between different content types. Instead of abrupt switching between discrete presets, the audio processing device continuously adapts parameters based on real-time content classification, ensuring seamless transitions that avoid audible artifacts while maintaining content-specific optimization
Solution Approach 2:
The system performs preliminary classification of audio content type before applying processing parameters. By detecting and classifying the audio content in advance, the system can prepare appropriate processing settings and transition smoothly to them, preventing abrupt changes that would cause artifacts at content transition points
3Ease of operation
If traditional equalizer presets are applied to all audio signals, then the system is simple to operate, but the spectral balance consistency deteriorates for different content types
Solution Approach 1:
The system uses a single audio processing device that performs multiple functions by automatically adapting to different content types. Instead of requiring separate equalizer settings for different content, the universal device classifies audio content (movie, music, VoIP, game) and applies appropriate processing parameters dynamically, maintaining spectral balance consistency across all content types while keeping the interface simple
Solution Approach 2:
The system dynamically changes equalization parameters based on detected audio content type. The audio processing device continuously monitors audio signals and adjusts spectral balance parameters in real-time according to the classified content type, maintaining optimal spectral consistency without requiring manual preset selection from users
Data Source
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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.