AI Audio Mixing Control for Low-Load Channel Balancing
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Solution Overview
Problem
Existing audio signal processing methods require significant computational resources to automatically adjust parameters similar to manual operations by a mixer engineer, such as balancing sound volume between channels.
Innovation Solution
An audio signal processing method that utilizes artificial intelligence to automatically set parameters like gain and fader values based on time-series sound volume data, replicating the adjustments made by a skilled mixer engineer with reduced computational load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional audio signal processing methods are used to automatically adjust parameters, then automatic parameter adjustment is achieved, but computational load is high
Solution Approach 1:
The audio signal processing is divided into separate functional modules: a sound volume data acquisition module that collects time-series sound volume data from multiple channels, and a parameter determination module that processes this data to determine optimal parameters. This segmentation allows each module to perform its specific function efficiently, reducing overall computational load while maintaining automation.
Solution Approach 2:
The system performs preliminary analysis by acquiring and processing sound volume data before final parameter determination. By pre-processing the audio data to extract relevant features and patterns, the system reduces the computational complexity of the subsequent parameter adjustment stage, enabling automatic control with lower real-time processing requirements.
2Extent of automation
If conventional audio signal processing methods are used to balance sound volume between channels, then automatic balancing is achieved, but computational resources are significantly consumed
Solution Approach 1:
The audio signal processing apparatus automatically determines parameters by analyzing its own input sound volume data without requiring external manual intervention or complex external processing systems. The apparatus serves itself by using its internal sound volume data to automatically adjust parameters, reducing the need for additional computational resources while achieving automatic balancing.
3Manufacturing precision
If manual parameter adjustment by mixer engineer is replicated, then same parameter quality is obtained, but computational load increases
Solution Approach 1:
The system replaces the mechanical/manual process of a mixer engineer adjusting parameters with an automated electronic system that analyzes sound volume data and determines parameters algorithmically. This substitution maintains the quality of parameter adjustment while significantly reducing computational load by using efficient data processing methods rather than complex simulations of manual engineering processes.
Data Source
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.