Voice Recognition System Dynamic Processing Switch
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Solution Overview
Problem
Conventional in-vehicle voice recognition systems have limited processing capabilities, leading to inaccurate recognition results and longer response times, while external systems can be time-consuming to utilize effectively.
Innovation Solution
A method that determines whether voice recognition should be performed locally within the vehicle or externally, using a computer-based system that can switch between in-vehicle and external voice recognition processes based on context and time sensitivity, with the option to transmit voice inputs to an external system for more powerful processing when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If in-vehicle voice recognition systems are used, then response time is reduced, but recognition accuracy deteriorates due to limited processing capabilities
Solution Approach 1:
The voice recognition system is segmented into two parts: an in-vehicle component that handles time-sensitive commands with fast response requirements, and an external system that processes complex commands requiring higher recognition accuracy. This segmentation allows each component to optimize for its specific function, resolving the contradiction between response time and recognition accuracy.
Solution Approach 2:
The system dynamically determines whether to process voice commands locally or externally based on the characteristics of each command. Time-sensitive commands are processed in-vehicle for rapid response, while commands requiring complex recognition are routed externally. This dynamic adaptation resolves the fixed trade-off between response time and accuracy.
2Measurement precision
If external voice recognition systems are used, then recognition accuracy is improved, but response time increases
Solution Approach 1:
The system segments voice recognition tasks based on their requirements: simple, time-sensitive commands are handled by the in-vehicle system for immediate response, while complex commands benefiting from external processing power are routed externally. This segmentation eliminates the need to always use the external system, thus reducing overall response time while maintaining accuracy where needed.
Solution Approach 2:
The in-vehicle system performs partial voice recognition processing for commands that can be handled with limited resources, avoiding the need to always engage the external system. This partial action approach reduces response time for routine commands while reserving external resources for tasks requiring full processing power.
3Power
If voice commands are transmitted to external systems, then processing power is increased, but system complexity increases
Solution Approach 1:
The in-vehicle system acts as an intermediary that intelligently routes commands to the appropriate processing location. It evaluates each voice command and determines whether local or external processing is appropriate, managing the complexity of coordinating between two systems while providing the processing power benefits where needed.
Solution Approach 2:
The system employs self-service by having the in-vehicle component autonomously determine when external processing is needed without requiring constant external system intervention. This self-assessment capability reduces the overall system complexity by minimizing the coordination overhead between in-vehicle and external components.
Data Source
AI summary
A vehicle based system and method for receiving voice inputs and determining whether to perform a voice recognition analysis using in-vehicle resources or resources external to the vehicle.