Distance-Based Audio Signal Mixing for Consistent Volume
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Solution Overview
Problem
Existing audio signal processing technologies face challenges in effectively mixing audio signals from multiple devices, particularly in environments with varying distances and noise levels, leading to sub-optimal audio quality due to manual mixing difficulties and inconsistent volume levels.
Innovation Solution
A method and apparatus that determine the distance between audio devices and generate a level control to mix audio signals based on this distance, correlation, and signal-to-noise ratio, ensuring consistent volume and optimal audio capture by adjusting the mixing levels dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual mixing of audio signals from multiple devices is used, then device complexity is reduced, but audio quality consistency deteriorates due to varying distances and noise levels
Solution Approach 1:
The system automatically determines distances between devices, calculates correlation between audio signals, and generates appropriate level controls without requiring manual intervention. The processor autonomously mixes audio signals based on measured parameters, eliminating the need for manual mixing while maintaining consistent audio quality across varying distances and noise conditions.
2Manufacturing precision
If distance-based level control is implemented, then audio quality consistency is improved, but measurement precision requirements increase
Solution Approach 1:
The system uses feedback from multiple measurements (distance between devices, correlation between audio signals, signal-to-noise ratios) to continuously adjust mixing levels. The processor monitors these parameters and dynamically generates level controls that compensate for varying distances and acoustic conditions, maintaining consistent audio quality through closed-loop control.
Solution Approach 2:
The system changes multiple parameters simultaneously (distance measurements, correlation coefficients, signal-to-noise ratios) to comprehensively characterize the acoustic environment. By considering multiple parameters rather than relying on a single distance measurement, the system achieves accurate level control that adapts to varying acoustic conditions without requiring ultra-precise individual measurements.
3Adaptability or versatility
If multiple audio signals are captured from different devices, then audio capture versatility is improved, but mixing difficulty increases due to varying noise levels and distances
Solution Approach 1:
The processor automatically performs the mixing operation by determining distances, calculating correlations, and generating level controls without requiring manual mixing operations. This self-service approach maintains the versatility of capturing audio from multiple devices while eliminating the complexity of manual mixing, as the system autonomously handles the combination of multiple audio signals with different noise levels and distances.
Data Source
AI summary
An apparatus including an input configured to receive at least one first audio signal from a first apparatus; an input configured to receive at least one second audio signal from a second apparatus; a distance detector configured to determine a distance between the first and the second apparatus; and a level control generator configured to generate a level control for mixing the at least one first audio signal and the at least one second audio signal based on the distance between the first and the second apparatus.