Vehicle Cabin Audio Profile Convergence for Engine Noise Simulation
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Solution Overview
Problem
As vehicle soundproofing improves, drivers miss the exhilarating engine and exhaust noises, leading to a need for electronic sound enhancement systems that simulate these sounds effectively.
Innovation Solution
The system samples the audio profile of engine noises in a vehicle cabin, compares it to a model profile, and applies a convergence function to generate a calibrated audio profile that matches the desired sound experience, iteratively refining the audio output until it meets a similarity threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If sound proofing of the cabin is improved to block out wind and road noise, then comfort is improved, but engine and exhaust noises are also blocked, resulting in loss of exhilaration feeling
Solution Approach 1:
The patent creates a digital copy of the desired engine and exhaust noise characteristics by recording reference audio profiles and processing them through convergence functions. This copied audio profile is then played back through the sound system to simulate the exhilarating noise characteristics that would otherwise be blocked by soundproofing materials.
2Measurement precision
If a convergence function is applied to calibrate the audio profile, then the similarity to the model audio profile is improved, but the computational complexity increases
Solution Approach 1:
The system implements an iterative feedback process where the sampled audio profile is continuously compared to the model audio profile using a convergence function. The system automatically adjusts the audio profile parameters based on the similarity measurement, repeating the process until the desired threshold is achieved, thereby resolving the contradiction between precision and complexity through automated iterative optimization.
Data Source
AI summary
Example systems and methods for electronic sound enhancement tuning are disclosed. An example disclosed method includes sampling, with a microphone, an audio profile of engine noises in a cabin of a vehicle. The example method also includes comparing the sampled audio profile to a model audio profile. Additionally, the example methods includes, when the sampled audio profile does not satisfy a similarity threshold, applying a convergence function to the sampled audio profile to generate a target audio profile, and iterating until the target audio profile satisfies a similarity threshold.