Audio Control Robotics for Dense Sampling of Amplifier Response
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Solution Overview
Problem
Existing robotic systems face challenges in determining the responsive behavior of audio systems across a range of settings due to the need for numerous measurements, which results in excessive mechanical wear and time consumption, especially when dealing with audio systems having multiple controls with various settings.
Innovation Solution
A robotic system that includes a device interface coupled with a control sequencer, which generates control sequences to automatically adjust settings on audio systems, using a sufficiently dense random sampling process to reduce the number of measurements required, thereby minimizing wear and time, while capturing the responsive behavior across different settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a sufficiently high number of measurements are taken to accurately determine responsive behavior across all control settings, then measurement precision is improved, but mechanical wear and time consumption increase excessively
Solution Approach 1:
The patent applies partial action by taking a subset of measurements rather than exhaustively measuring all possible control settings. The system selectively samples specific combinations of control settings based on their importance and interaction effects, achieving sufficient measurement precision without the need to measure every possible setting combination. This reduces the total number of measurements while maintaining adequate accuracy for determining responsive behavior.
Solution Approach 2:
The patent segments the measurement process by dividing control settings into different categories (individual controls, pairwise interactions, higher-order interactions) and measuring them in hierarchical order. This segmentation allows the system to focus measurements on the most significant factors first, reducing overall measurement requirements while maintaining precision for the dominant behavior characteristics.
2Measurement precision
If a sufficiently high number of measurements are taken to accurately determine responsive behavior across all control settings, then measurement precision is improved, but mechanical wear increases excessively
Solution Approach 1:
The patent applies partial action by taking a subset of measurements rather than exhaustively measuring all possible control settings. The system selectively samples specific combinations of control settings based on their importance and interaction effects, achieving sufficient measurement precision without the need to measure every possible setting combination. This reduces the total number of measurements while maintaining adequate accuracy for determining responsive behavior.
Solution Approach 2:
The patent segments the measurement process by dividing control settings into different categories (individual controls, pairwise interactions, higher-order interactions) and measuring them in hierarchical order. This segmentation allows the system to focus measurements on the most significant factors first, reducing overall measurement requirements while maintaining precision for the dominant behavior characteristics.
3Reliability
If all control settings are measured exhaustively to capture complete responsive behavior, then reliability is improved, but device complexity and time requirements worsen
Solution Approach 1:
The patent applies partial action by taking a subset of measurements rather than exhaustively measuring all possible control settings. The system selectively samples specific combinations of control settings based on their importance and interaction effects, achieving sufficient measurement precision without the need to measure every possible setting combination. This reduces the total number of measurements while maintaining adequate accuracy for determining responsive behavior.
Solution Approach 2:
The patent segments the measurement process by dividing control settings into different categories (individual controls, pairwise interactions, higher-order interactions) and measuring them in hierarchical order. This segmentation allows the system to focus measurements on the most significant factors first, reducing overall measurement requirements while maintaining precision for the dominant behavior characteristics.
Data Source
AI summary
A robotic system is provided, which automatically changes settings on an audio system. The audio system (e.g., an instrument amplifier, effect processor, etc.) typically includes one or more controls that impact the operation of the audio system. Correspondingly, the robotic system includes a device interface coupled to a control sequencer. The device interface adapts to one or more controls of the audio system that are to be changed. In this regard, the device interface includes one or more control couplers. Each control coupler is adapted to a corresponding control of the audio system to be changed. The control sequencer provides a control sequence to the device interface that causes the control coupler(s) to vary the settings on the audio system. In practical applications, a combination of sequence values of the control sequence can represent a sufficiently high number of samples to determine a responsive behavior of the audio system.