Audio System Emulation Using Random Sampling and Digital Modeling
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Solution Overview
Problem
Conventional audio systems require impractically large numbers of snapshots and extensive time to emulate the behavior of physical audio systems, leading to mechanical wear and excessive storage requirements, while traditional methods fail to accurately represent the complex behavior across various settings.
Innovation Solution
A digital model is created through a sufficiently dense random sampling, allowing a single model to emulate the behavior of a physical audio system across multiple settings, reducing the need for extensive snapshots and mechanical wear, and minimizing storage requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional snapshot methods are used to emulate audio systems, then emulation accuracy can be improved, but the number of snapshots required becomes impractically large and storage requirements become excessive
Solution Approach 1:
The patent transforms the emulation approach from capturing discrete snapshots at specific control settings to using continuous parameter changes. By modeling how audio system output changes in response to control parameter adjustments, the system achieves comprehensive emulation coverage without requiring exhaustive sampling of all possible settings combinations.
Solution Approach 2:
The patent replaces the mechanical process of physically adjusting controls and capturing snapshots with a computational model that mathematically predicts system behavior. The digital model substitutes for physical measurement, calculating expected output changes based on control parameter modifications rather than requiring actual physical snapshots at each setting.
2Measurement precision
If exhaustive sampling of all settings is performed to achieve accurate emulation, then emulation fidelity improves, but the time required becomes excessive and mechanical wear increases
Solution Approach 1:
The patent performs preliminary characterization of the audio system by capturing snapshots at a limited set of representative control settings. This preliminary data is then used to train a digital model that can predict system behavior at untested settings, eliminating the need for exhaustive sampling while maintaining high emulation fidelity.
Solution Approach 2:
The patent creates a digital copy (virtual model) of the audio system that replicates its behavior. This digital twin is trained on limited snapshot data and then used to emulate system response across the entire control space, replacing the need for exhaustive physical sampling and eliminating time losses associated with repeated measurements.
3Adaptability or versatility
If multiple snapshots are used to cover different settings, then behavior coverage improves, but mechanical wear from repeated control adjustments increases
Solution Approach 1:
The patent replaces mechanical control adjustments with computational operations. The digital model, once trained on limited snapshot data, can instantly simulate system behavior at any control setting without requiring physical knob adjustments. This substitution eliminates mechanical wear while maintaining comprehensive behavior coverage through virtual parameter exploration.
4Loss of information
If comprehensive sampling is performed to capture all system behaviors, then emulation completeness improves, but storage requirements become excessive
Solution Approach 1:
The patent creates a compact digital model that serves as a compressed representation of the audio system's behavior across all settings. Rather than storing large numbers of individual snapshots, the system stores trained model parameters that can generate accurate predictions for any control configuration, dramatically reducing storage requirements while maintaining emulation completeness.
Data Source
AI summary
A system for emulating a physical audio system comprises a user interface (UI) and a digital model of the physical audio system. The UI comprises virtual controls for changing virtual control settings (e.g., a virtual volume control for changing a virtual volume setting, etc.). A change in a virtual control setting produces a change to the output of the digital model. Because the digital model emulates the behavior of the physical audio system, changes to the model output in response to changes in the virtual control settings correspond to changes in the audio output in response to changes in the physical control settings. For example, if the physical audio system is an audio amplifier with control knobs, then the virtual controls will affect the output of the digital model like the control knobs affect the audio output of the audio amplifier.