Adaptive Audio Modulation for Background Noise and Sound Quality
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Solution Overview
Problem
Conventional audio devices struggle to dynamically adjust the dynamic range of audio content based on the user's environment, often compromising sound quality as they are pre-configured for general use and lack adaptability to varying noise levels.
Innovation Solution
The implementation of adaptive modulation techniques using dynamic range compression and automatic gain control (AGC) to adjust the audio content based on the background noise, allowing for automatic modulation of loudness to optimize sound quality in different environments without user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If dynamic range compression is increased to make quieter sounds audible in noisy environments, then sound quality deteriorates due to loss of audio dynamics and excitement
Solution Approach 1:
The patent applies dynamic range compression with adjustable parameters that can be modified in real-time based on environmental conditions. The system transitions from fixed compression parameters to dynamically adjustable parameters, allowing the compression ratio and threshold to adapt to different noise levels while preserving audio quality in varying contexts.
Solution Approach 2:
The system changes compression parameters (threshold, ratio, attack, release) based on detected noise levels. When noise exceeds a threshold, compression parameters are adjusted to prioritize audibility; when noise is low, parameters are relaxed to preserve sound quality and audio dynamics.
2Device complexity
If fixed compression parameters are used at device manufacture, then device complexity is reduced, but adaptability to different environments deteriorates
Solution Approach 1:
The system incorporates environmental noise detection that continuously monitors background noise levels and feeds this information back to the compression algorithm. This feedback loop enables automatic adjustment of compression parameters based on real-time environmental conditions, eliminating the need for manual configuration while improving adaptability.
Solution Approach 2:
The system performs self-adjustment of compression parameters based on detected noise levels without requiring user intervention. The device automatically detects environmental conditions and modifies its audio processing accordingly, serving itself rather than requiring external configuration.
3Ease of operation
If loudness compression is increased to normalize volume levels, then sound quality deteriorates due to loss of atmospheric variations
Solution Approach 1:
The system dynamically adjusts compression strength based on environmental noise levels rather than applying fixed compression. In quiet environments, minimal compression is applied to preserve audio dynamics and atmospheric variations. In noisy environments, stronger compression is applied to ensure audibility, thus adapting to operational conditions.
Data Source
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.