Speed-Based Audio Equalization for Motorcycle Noise Changes
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Solution Overview
Problem
Ambient noise in vehicles, particularly motorcycles, varies with speed, making it difficult for riders or passengers to hear audio signals without manual volume adjustments, which can be cumbersome and distracting.
Innovation Solution
A system using a digital signal processor to apply dynamic equalization, adjusting both volume and quality of audio signals based on vehicle speed through empirical noise response measurements, accessed via equalization curves for different frequencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual volume adjustment is used to compensate for speed-based noise, then audio signal quality can be maintained, but ease of operation deteriorates due to cumbersome and distracting adjustments
Solution Approach 1:
The system automatically adjusts equalization parameters based on vehicle speed without requiring user intervention. The processor receives speed signals, determines appropriate equalization curves, and applies them automatically, allowing the system to serve itself rather than requiring manual operation.
Solution Approach 2:
The system uses feedback from the vehicle speed signal to dynamically adjust the equalization parameters. The processor continuously monitors speed changes and modifies the equalization curve selection accordingly, creating a closed-loop system that adapts to changing acoustic conditions.
2Reliability
If dynamic equalization processing is applied to maintain audio quality at varying speeds, then audio signal quality improves, but device complexity increases due to additional processing requirements
Solution Approach 1:
The system pre-stores multiple equalization curves in memory, each optimized for specific speed ranges. When operation begins, the processor simply selects the appropriate pre-computed curve based on current speed, avoiding the need for complex real-time calculations and reducing processing complexity.
Solution Approach 2:
The equalization adjustment is divided into discrete frequency bands (e.g., 6 bands from 31Hz to 16kHz), with each band having its own equalization curve. This segmentation allows independent processing of different frequency ranges, simplifying the overall processing architecture.
Data Source
AI summary
Methods and systems for performing automatic speed-based audio control. One method includes receiving, with an electronic control unit included in a vehicle, a speed of the vehicle and receiving, with the electronic control unit, an audio signal. The method also includes accessing, with the electronic control unit, a plurality of equalization curves based on the speed of the vehicle, each of the plurality of equalization curves associated with the speed of the vehicle and each of the plurality of equalization curves defining a gain adjustment for one of a plurality of frequencies, and, for each curve of the plurality of equalization curves, applying the gain adjustment defined by the curve to one of the plurality of frequencies of the audio signal.