Motorcycle Voice Output Control for Predicted Noise Changes
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Solution Overview
Problem
In vehicles like motorcycles, significant dynamic noise changes cause response delays in voice generation systems, leading to voice mismatch and difficulty for drivers to listen to voice guidance effectively.
Innovation Solution
A voice system that estimates future noise states based on noise generation factors, such as driving, traveling, and environmental noise, and adjusts voice attributes like frequency, sentence length, and timing to prevent voice mismatch and improve listenability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If noise is actually measured and analytical processing is performed, then voice can be generated according to frequency characteristics of input noise, but response delay occurs in voice generation
Solution Approach 1:
The noise estimating section performs preliminary estimation of future noise states based on current noise generation factor information before actual noise occurs. This allows the voice control section to prepare appropriate voice attributes in advance, eliminating the response delay that occurs when waiting for actual noise measurement and analysis.
Solution Approach 2:
The patent introduces noise generation factor information as an intermediary parameter that correlates with future noise states without requiring direct noise measurement. By using this intermediary data (such as vehicle speed, engine RPM, road conditions), the system can predict noise characteristics and adjust voice output without the time-consuming process of actual noise acquisition and analytical processing.
2Adaptability or versatility
If noise measurement and analytical processing are performed, then voice can be optimized for current noise conditions, but voice mismatch occurs due to dynamic noise changes
Solution Approach 1:
The system performs preliminary estimation of future noise states before they actually occur, allowing voice attributes to be optimized in advance for the upcoming noise conditions. This ensures that when the predicted noise state occurs, the voice output is already optimized and synchronized, preventing voice mismatch.
Solution Approach 2:
The noise estimating section continuously updates predictions based on changing noise generation factors, and the voice control section dynamically adjusts voice attributes in real-time according to these predictions. This dynamic adaptation ensures voice remains synchronized with actually occurring noise conditions rather than being based on outdated measurements.
Data Source
AI summary
A voice system of a moving machine is a voice system of a moving machine driven by a driver who is exposed to an outside of the moving machine and includes: a noise estimating section which estimates a future noise state based on information related to a noise generation factor; and a voice control section which changes an attribute of voice in accordance with the estimated noise state, the voice being voice to be output to the driver.