Adaptive Audio Modulation for Background Noise and Quiet Sound Audibility
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing audio devices struggle to dynamically adjust loudness compression or normalization parameters to address various environments, failing to optimize sound quality in diverse listening conditions without user intervention.
Innovation Solution
Implementing dynamic solutions using dynamic range compression and automatic gain control (AGC) to adaptively modulate audio content based on background noise, adjusting loudness and dynamic range automatically to enhance sound quality and user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If loudness compression or normalization parameters are fixed at manufacture time, then device configuration is simple, but the device cannot optimize sound quality for different listening environments
Solution Approach 1:
The system automatically detects background noise levels and dynamically adjusts loudness compression parameters without requiring manual user configuration. The device monitors the acoustic environment and self-adapts the audio processing settings to optimize sound quality for the current listening conditions.
Solution Approach 2:
The loudness compression parameters are made dynamic rather than fixed, allowing the system to continuously adjust compression ratios, threshold levels, and attack/release times based on real-time background noise measurements. This enables the device to adapt to varying environmental conditions while maintaining audio quality.
2Reliability
If loudness compression is increased to make quieter sounds audible in noisy environments, then sound quality deteriorates, but if compression is decreased, then quieter sounds become inaudible
Solution Approach 1:
The system dynamically changes multiple audio processing parameters including compression ratio, threshold, attack time, and release time based on the measured background noise level. By adjusting these parameters in coordination, the system maintains sound quality while ensuring quieter sounds remain audible in noisy environments.
Solution Approach 2:
The loudness compression is applied selectively to different portions of the audio signal based on their relative loudness. The system processes quiet sounds with higher compression to make them audible, while applying minimal or no compression to already-loud sounds, thereby preserving the overall sound quality and dynamic range.
3Reliability
If dynamic range compression is applied to reduce loudness variations, then sound quality improves in noisy environments, but the audio content loses atmosphere and excitement
Solution Approach 1:
The system applies partial compression only when and where needed - specifically to the quieter portions of the audio signal that fall below the background noise level. By applying compression selectively rather than uniformly across the entire dynamic range, the system improves audibility of quiet sounds while preserving the atmospheric quality and excitement of louder passages.
4Manufacturing precision
If users manually adjust loudness compression settings for different environments, then sound quality optimizes, but user operation becomes complex and time-consuming
Solution Approach 1:
The system automatically performs the function of manual parameter adjustment by detecting background noise levels and selecting appropriate compression settings. The device monitors the acoustic environment and self-configures the loudness compression parameters without requiring user intervention, thereby maintaining sound quality optimization while simplifying operation.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Techniques are described herein that are capable of adaptively modulating audio content based on background noise. For instance, a loudness difference between a loudness of the audio content and a loudness of the background noise is determined. The loudness of the audio content is compared to an upper loudness threshold. A modulation is selected from multiple modulations based on the loudness difference and/or the comparison. Subsequent outputted audio content is modulated using the selected modulation.