Speech Processing Apparatus for Vehicle User Relationship Management
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Solution Overview
Problem
The increasing manipulation load on users due to diversified vehicle functions can lead to decreased user concentration while driving, and unskilled users may struggle to utilize these functions effectively, necessitating a reduction in user interface complexity, particularly through the use of speech recognition technology.
Innovation Solution
A speech processing apparatus that determines relationships between users based on spoken language and updates user databases with this information, enabling more intelligent speech recognition and proactive information provision, including phone numbers and addresses, within a vehicle system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If speech recognition technology is employed to reduce manipulation load, then ease of operation is improved, but device complexity increases due to the need for user relationship databases and intelligent processing systems
Solution Approach 1:
The system performs preliminary actions by automatically acquiring user relationship information through speech recognition and proactively updating databases before users need to access the information. This eliminates the need for users to manually input relationship data, reducing manipulation load while the system handles the complexity in the background.
Solution Approach 2:
The database system serves itself by automatically updating user relationship information based on speech-recognized data. The system autonomously manages the complexity of database maintenance and information organization without requiring user intervention, thereby improving ease of operation while containing device complexity within the system.
2Loss of information
If user relationship information is proactively acquired and stored, then information provision quality is improved, but loss of time increases due to continuous database updates and processing
Solution Approach 1:
The system uses feedback mechanisms where speech recognition results trigger database update operations. The system continuously monitors for speech inputs containing relationship information and selectively updates the database only when relevant information is detected, balancing information completeness with processing time efficiency.
Solution Approach 2:
The system performs partial actions by selectively updating only the necessary portions of the database when relationship information is acquired through speech recognition, rather than continuously processing all possible data. This reduces unnecessary processing time while maintaining information completeness for relevant user relationships.
Data Source
AI summary
A speech processing apparatus includes a speech processor for acquiring information on a relationship between a first user and a second user on the basis of a spoken language of the first user, a storage for storing a first user database (DB) that includes personal information of the second user identified by a second identification tag and a second user DB that includes personal information of the first user identified by a first identification tag, and a DB managing processor for updating the first user DB and the second user DB based on the acquired information on the relationship between the first user and the second user.