AI Audio Mixing for Automatic Channel Volume Balancing
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Solution Overview
Problem
Current audio signal processing methods for mixing apparatuses require manual adjustments by operators, which are time-consuming and inefficient, and lack the ability to automatically balance sound volumes between channels with a low computational load.
Innovation Solution
An audio signal processing method that selects a channel, inputs audio signals, and specifies setting data based on time-series sound volume data from other channels, using artificial intelligence to replicate the adjustments made by skilled mixer engineers, such as gain adjustments and sound volume balancing, with reduced computational requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual adjustment by operator is used, then parameter adjustment accuracy is improved, but productivity deteriorates
Solution Approach 1:
The mixing apparatus automatically adjusts parameters by analyzing audio signals and determining optimal settings without operator intervention. The system processes sound volume data, identifies appropriate parameter values, and applies adjustments autonomously, eliminating the need for manual operator adjustments while maintaining professional-quality results.
2Extent of automation
If complex AI processing is used, then automation level is improved, but computational load worsens
Solution Approach 1:
The system extracts only the essential features from audio signals that are necessary for parameter adjustment, such as sound volume levels and spectral characteristics. By focusing on these key features rather than processing the entire audio signal in detail, the computational load is significantly reduced while maintaining effective automation.
Solution Approach 2:
The AI processing performs partial analysis of the audio signal, focusing only on the specific parameters needed for mixing adjustments rather than comprehensive audio analysis. This selective processing approach achieves sufficient automation for mixing tasks without requiring excessive computational resources.
Data Source
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AI summary
An audio signal processing method for a mixing apparatus including a plurality of channels, the audio signal processing method includes selecting at least a first channel among the plurality of channels, inputting an audio signal of the selected first channel, specifying setting data to be set to the mixing apparatus, based on time-series sound volume data for the first channel, or data on a second channel different from the first channel, among the plurality of channels, and outputting the specified setting data.