Adaptive Hardware Equalizer Presets for Application-Aware Audio
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Solution Overview
Problem
Users face an inconvenient and less desirable audio experience due to the need to manually switch between different equalizer settings for various applications, as built-in speakers typically use the same settings for all applications, and software equalizers provide less accurate frequency control compared to hardware equalizers.
Innovation Solution
An adaptive audio equalizer system that automatically selects hardware equalizer settings based on the active application by analyzing the frame rate and type of content using histogram analysis and metadata, allowing for preset settings tailored to specific applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If hardware equalizer settings are manually switched for different applications, then audio quality is improved, but user convenience deteriorates
Solution Approach 1:
The system automatically detects the active application and selects appropriate equalizer settings without user intervention. The display controller monitors application metadata and frame characteristics, then autonomously switches hardware equalizer presets, allowing the system to serve itself rather than requiring manual user configuration.
Solution Approach 2:
The system continuously monitors application metadata and frame characteristics (such as frame rate and histogram analysis) to determine the current application type. Based on this feedback, it dynamically adjusts the equalizer settings to match the detected application, creating a closed-loop control system that adapts to changing conditions.
2Device complexity
If built-in speakers use the same equalizer settings for all applications, then device complexity is reduced, but audio quality deteriorates
Solution Approach 1:
The system transitions from static equalizer settings to dynamic settings that automatically adapt to the active application. The display controller continuously monitors application characteristics and adjusts equalizer parameters in real-time, enabling the system to optimize audio quality for different applications without requiring manual user intervention or complex configuration interfaces.
Solution Approach 2:
The display controller is enhanced to perform multiple functions: it not only manages display operations but also detects application types through metadata and frame analysis, then selects appropriate equalizer settings. This multi-functionality allows a single component to handle both display control and audio optimization, reducing the need for separate dedicated hardware while improving audio quality.
3Ease of operation
If software equalizers are used instead of hardware equalizers, then ease of operation is improved, but frequency control accuracy deteriorates
Solution Approach 1:
The system uses application metadata and frame characteristics as intermediaries to bridge the gap between software detection capabilities and hardware equalizer control. The display controller analyzes software-generated information (metadata, frame rate, histogram) and uses this data to select appropriate hardware equalizer settings, allowing software to control hardware with high precision without requiring direct hardware manipulation by the user.
Data Source
AI summary
An information handling system determines a frame rate of a frame or an image, and determines a type of an application based on a histogram analysis of the frame or the image analysis and on the frame rate. A hardware equalizer setting may also be applied for audio content based on the application type, wherein the hardware equalizer setting is from a pre-defined list of applications with corresponding hardware equalizer settings.