In-Car Audio Equal Loudness Tuning Across Volume Levels
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Solution Overview
Problem
Existing car audio systems fail to adaptively adjust sound quality when users adjust volume levels, leading to a significant difference in user experience.
Innovation Solution
The system determines audio signal gain and equal loudness curve differences between current and baseline volume levels, using pre-stored response curves to adjust output signal parameters of multiple audio channels, including gain, delay, and phase adjustments, to optimize sound quality based on user hearing characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the car audio system adjusts the output volume of multiple channels according to the volume level set by the user, then the volume control function is achieved, but the sound quality contrast before and after volume adjustment becomes large, reducing user experience
Solution Approach 1:
The system changes multiple audio parameters simultaneously when volume is adjusted, not just the gain. Specifically, it adjusts equalization (EQ) parameters, time alignment parameters, and crossover parameters according to the volume level. This coordinated parameter adjustment ensures that sound quality remains consistent across different volume levels while maintaining proper volume control functionality.
Solution Approach 2:
The system dynamically adjusts multiple audio parameters based on the current volume level. When the user changes the volume setting, the system automatically recalculates and applies appropriate EQ curves, time alignment offsets, and crossover frequencies. This dynamic adaptation allows the audio system to optimize sound quality for each volume level, preventing the harsh contrast between low and high volume settings.
2Device complexity
If the car audio system simply adjusts the output volume of multiple channels according to the volume level set by the user, then the system complexity is low, but the sound quality optimization based on hearing characteristics is insufficient
Solution Approach 1:
The system pre-calculates and stores optimal audio parameters for different volume levels. Before the user actually adjusts the volume, the system has already prepared the corresponding EQ curves, time alignment parameters, and crossover settings. When volume adjustment is detected, the system simply retrieves and applies the pre-prepared parameter set, which reduces the perceived complexity while achieving sophisticated sound quality optimization tailored to human hearing characteristics at different volumes.
3Ease of operation
If the car audio system does not adjust sound quality adaptively, then the system operation is simple, but the user acoustic experience is reduced
Solution Approach 1:
The system implements a feedback mechanism where the current volume level serves as input to automatically trigger sound quality adjustments. When the user sets a new volume level, the system detects this change and automatically applies the appropriate audio parameter adjustments without requiring additional user input. This feedback loop ensures that sound quality is continuously optimized based on the actual operating conditions, significantly improving acoustic experience while keeping the user interface simple.
Data Source
AI summary
The application relates to a sound quality output method. The method includes: obtaining the current volume level input by the user; determine the audio signal gain difference between the current volume level and the baseline volume level according to the current volume level and the preset baseline volume level, determining an equal loudness curve difference between the current volume level and the baseline volume level according to the audio signal gain difference, and the current volume level and the baseline volume level, determining the audio quality response curve corresponding to the current volume level according to the equal loudness curve difference and the pre-stored audio quality response curve corresponding to the baseline volume level, determining the output signal parameters of multiple audio output channels according to the audio quality response curve corresponding to the current volume level. The application optimizes the sound quality effect and enhances acoustic experience.