Volume Leveler Gain Control for Real-Time Content Transitions
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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 device complexity is reduced and ease of operation is improved, but audible artifacts occur during transitions and user experience deteriorates
Solution Approach 1:
The patent implements dynamic adjustment of audio processing parameters by continuously analyzing audio content characteristics and automatically adapting processing强度 in real-time, replacing static manual presets with dynamic content-based adjustment. This resolves the contradiction by eliminating abrupt transitions between presets while maintaining ease of operation through automation.
Solution Approach 2:
The system continuously monitors audio content parameters (such as speech presence, music genre, ambient noise levels) and adjusts processing parameters accordingly. This continuous parameter adaptation prevents the audible artifacts that occur during discrete preset transitions, while the automation maintains ease of operation.
2Object-affected harmful factors
If automatic content-based continuous adjustment is implemented, then audible artifacts are reduced and user experience is enhanced, but device complexity increases
Solution Approach 1:
The audio processing system performs self-service by automatically analyzing its own input content and adjusting its processing parameters without external intervention. The system monitors audio characteristics and autonomously optimizes processing强度, reducing audible artifacts while the increased complexity is justified by the automated self-adjustment capability.
Solution Approach 2:
The system implements feedback loops where audio content analysis results continuously inform parameter adjustment decisions. This closed-loop control enables continuous adaptation to content changes, reducing audible artifacts through smooth transitions while managing complexity through systematic feedback processing.
3Ease of manufacture
If traditional equalizer with fixed presets is used, then device complexity is minimized and ease of manufacture is improved, but adaptability to different audio content deteriorates
Solution Approach 1:
The equalizer transitions from static fixed presets to dynamic content-based adjustment, where processing parameters continuously adapt to the analyzed audio content characteristics. This dynamic approach maintains ease of manufacture through standardized processing pipelines while dramatically improving adaptability to different content types.
Solution Approach 2:
The system changes equalization parameters based on real-time audio content analysis, adjusting frequency response characteristics according to content type (speech, music, ambient sound). This parameter adaptation maintains manufacturing simplicity while achieving content-specific optimization through automated analysis and adjustment.
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.