Mobile Terminal Voice Recognition Scope Control
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Solution Overview
Problem
Current mobile terminals face low voice recognition rates due to a broad scope of recognition, as they lack context and relation information to accurately interpret user inputs during conversations.
Innovation Solution
A mobile terminal configuration that includes a microphone, display unit, and controller to input and recognize voice, using context information from previous conversations and relation information with the conversation partner or their group to enhance voice recognition and automatically generate messages, while restricting the recognition scope for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the scope of voice recognition is broad to cover various conversation topics, then the versatility of the voice recognition system is improved, but the voice recognition rate deteriorates due to lack of context information
Solution Approach 1:
The patent applies dynamics by making the voice recognition scope adjustable rather than fixed. The system dynamically narrows or expands the recognition scope based on detected context information from the conversation, allowing it to adapt between broad versatility and precise recognition as needed
Solution Approach 2:
The system changes the parameter of recognition scope width based on context analysis. When context information is available, the recognition scope parameter is narrowed to improve accuracy; when context is limited, the scope is widened to maintain versatility
2Adaptability or versatility
If the voice recognition system attempts to recognize all possible conversation content without restrictions, then the coverage of recognizable content is improved, but the accuracy of recognition deteriorates
Solution Approach 1:
The patent segments the voice recognition process into multiple stages: initial broad recognition attempt, context information extraction from recognized content, and subsequent refined recognition based on extracted context. This segmentation allows the system to achieve both broad coverage and high accuracy at different stages
Solution Approach 2:
The system implements feedback by using the output of the first recognition stage as input for the second stage. The recognized content from the initial broad recognition is analyzed to extract context information, which then feeds back to narrow and refine the recognition scope for improved accuracy
Data Source
AI summary
Disclose is a mobile terminal and control method thereof for inputting a voice to automatically generate a message to be sent during conversation using a mobile messenger, and it may include a microphone for inputting a user's voice, a display unit for displaying a mobile messenger; and a controller for inputting and recognizing a user's voice when a mobile messenger is implemented and then converting into a message to display the message on a message input window of the mobile messenger, and sending the displayed message to the other party which has been preset, and displaying the message sent to the other party and a message received from the other party in the sending and receiving order on a send/receive display window of the mobile messenger.