Audio Mixing with Intensity-Zone Scaling for Clear Multi-Party Calls
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Solution Overview
Problem
Current audio mixing algorithms face issues with overflow distortion and inconsistent voice volumes during multi-party voice calls, leading to loud and unclear audio outputs.
Innovation Solution
The method involves linearly superimposing audio input signals, dividing the mixed signal into intensity zones based on audio intensity, and applying different scalability ratios to each zone, with higher intensity zones using smaller ratios to prevent overflow and ensure clarity, while lower intensity zones use larger ratios for recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If linear superimposition is used to mix multiple audio signals, then the mixing process is simple and fast, but overflow distortion occurs and voice volumes become inconsistent
Solution Approach 1:
The mixed audio signal is segmented into multiple intensity zones based on amplitude thresholds. Each zone represents a specific intensity range, allowing different processing strategies to be applied to different parts of the signal spectrum, thereby preventing overflow distortion while maintaining mixing efficiency.
Solution Approach 2:
Different scalability ratios are applied to different intensity zones based on their local characteristics. High-intensity zones use smaller scalability ratios to prevent overflow, while low-intensity zones use larger ratios to ensure clarity, achieving localized optimization of audio quality without compromising overall mixing performance.
2Device complexity
If uniform scalability ratio is applied to all audio signals, then the processing is simple, but voice volumes become inconsistent (sometimes loud, sometimes low)
Solution Approach 1:
The patent applies different scalability ratios to different intensity zones rather than using a uniform ratio. This local differentiation ensures that each zone receives appropriate processing tailored to its intensity characteristics, achieving consistent voice volumes across the mixed output while maintaining reasonable processing complexity.
Solution Approach 2:
The scalability ratio parameter is dynamically changed based on the intensity zone of the audio signal. By adjusting this parameter according to signal intensity, the system achieves precise control over voice volume consistency without requiring overly complex processing architecture.
3Measurement precision
If high scalability ratio is used to enhance low-intensity signals, then recognition is improved, but overflow distortion occurs in high-intensity zones
Solution Approach 1:
The audio signal is segmented into intensity zones with defined amplitude thresholds. This segmentation allows the system to identify which signals are at risk of overflow and which need enhancement, applying appropriate scalability ratios to each segment to balance recognition clarity with distortion prevention.
Solution Approach 2:
Different scalability ratios are applied locally to different intensity zones. Low-intensity zones receive larger scalability ratios to improve recognition clarity, while high-intensity zones receive smaller ratios to prevent overflow distortion, achieving local optimization without global compromise.
Data Source
AI summary
The embodiments of the present disclosure provide a method for audio mixing. At least two audio input signals are obtained. Then the at least two audio input signals are linearly superimposed. A mixed signal obtained by linearly superimposing the at least two audio input signals is divided into at least two audio mixing signal-intensity zones according to an audio intensity of the mixed signal. Audio intensity scalability is performed for respective audio mixing signal-intensity zones using corresponding scalability ratios. The at least two audio mixing signal-intensity zones after performing the audio intensity scalability is superimposed and output. The embodiments of the present disclosure further provide an apparatus for audio mixing.