Voice Recognition Characteristic Adjustment via External Device Feedback
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Solution Overview
Problem
Current voice recognition systems in electronic devices face challenges in improving recognition reliability due to varying user voice characteristics and system load, leading to un-recognition or misrecognition issues.
Innovation Solution
An electronic device and control method that adjust voice recognition characteristics based on information received from external devices, using communication interfaces to synchronize recognition parameters with higher success rates, user-specific voice features, and learning utterances to enhance recognition accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If voice recognition is performed using fixed recognition characteristics, then system complexity is reduced, but recognition reliability deteriorates due to varying user voice characteristics and system load
Solution Approach 1:
The patent implements dynamic adjustment of recognition characteristics by the processor based on received information from external devices. The system transitions from fixed recognition parameters to dynamically adaptable parameters that change according to user voice characteristics and system conditions, thereby improving recognition reliability without requiring complex manual configuration
Solution Approach 2:
The system receives information on recognition characteristics from external devices and uses this feedback to adjust its own recognition parameters. This closed-loop feedback mechanism allows the system to continuously improve recognition reliability by learning from external sources while maintaining manageable system complexity through automated adjustment
2Measurement precision
If recognition characteristics are adjusted frequently to adapt to user voice characteristics, then recognition accuracy improves, but loss of time increases due to continuous adjustment processes
Solution Approach 1:
The system performs recognition characteristic adjustments in advance based on received information from external devices, rather than waiting for recognition failures to occur. By proactively adapting recognition parameters before actual use, the system improves recognition accuracy while minimizing the time lost during adjustment processes
Solution Approach 2:
The processor automatically adjusts recognition characteristics based on received information without requiring manual intervention or extensive user input. This self-service approach enables continuous optimization of recognition accuracy while reducing the time investment required from users
Data Source
AI summary
An electronic device performing voice recognition on user utterance based on first voice assistance. The electronic device may receive information on recognition characteristic of second voice assistance for user utterance from an external device and adjust recognition characteristic of the first voice assistance based on the information on the recognition characteristic of the second voice assistance.