Vehicle Voice Recognition Training Mode for User Adaptation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users face difficulties in correctly inputting voice commands to vehicle-mounted navigation systems due to unfamiliarity with the system and the need for voice registration, leading to inefficiencies in operation and recognition accuracy.
Innovation Solution
A vehicle-mounted control apparatus with a voice recognition system that includes a training mode, where users can learn to operate the system by practicing voice commands, and a command execution mode, allowing the system to learn the user's voice features and improve recognition accuracy without requiring independent voice registration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system requires voice registration for accurate recognition, then recognition accuracy is improved, but user operation complexity increases and time consumption increases
Solution Approach 1:
The system performs preliminary voice feature learning during the training mode before actual command execution. The control apparatus acquires voice samples during training mode and stores them as reference data, so that when users actually use the system, the voice recognition can proceed directly without requiring separate registration steps.
Solution Approach 2:
The system automatically learns and adapts to the user's voice characteristics through the training mode, eliminating the need for manual voice registration by the user. The control apparatus autonomously acquires, stores, and processes voice samples to create personalized recognition models.
2Ease of operation
If the system provides detailed operating guidance, then ease of operation is improved, but information overload increases and user attention is consumed
Solution Approach 1:
The operating guidance is segmented into two distinct modes: training mode for learning voice commands and command execution mode for actual usage. This segmentation allows the system to provide comprehensive guidance during training without overwhelming users during actual operation, as the guidance is automatically adapted to the current mode.
Solution Approach 2:
The system dynamically adjusts the type and amount of guidance provided based on the operational mode. During training mode, detailed voice command examples are provided. During command execution mode, the system provides minimal guidance and focuses on executing commands, automatically adapting the information flow to user needs.
3Measurement precision
If the system requires users to learn voice commands beforehand, then recognition accuracy is improved, but time consumption increases
Solution Approach 1:
The system performs self-learning by automatically acquiring and storing voice samples during training mode. This eliminates the need for users to manually provide training data or perform complex setup procedures, reducing the time burden on users while maintaining accurate voice recognition.
Solution Approach 2:
The voice learning and model building is completed as a preliminary action during training mode before the user needs to actually use the system. This preliminary preparation ensures that when users execute commands, the system already has the necessary voice recognition models ready, eliminating the need for users to spend time on ongoing training.
Data Source
AI summary
In a vehicle-mounted control apparatus, a control unit 2 displays guidance on an operation of the vehicle-mounted control apparatus by voice input on a display device 6, and makes the user get training so that the user can master the techniques for operating the vehicle-mounted control apparatus (in step ST4). At this time, by using a voice which the user tries to input in order to master the techniques for operating the vehicle-mounted control apparatus, the voice recognition unit 5 learns the features of the user's voice in the background, and computes recognition parameters. Thereby, the user can know how to operate the vehicle-mounted control apparatus and can also register the features of the voice in the vehicle-mounted control apparatus.