Terminal Voice Control Learning Interface for Hands-Free Operation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current voice recognition control systems for terminal devices are plagued by inaccurate judgment of voice instructions and insufficient intelligence, limiting their effectiveness and user experience, especially in tasks requiring hands-free operation.
Innovation Solution
A method and device that activate a voice operation mode upon user instruction, featuring a voice operation learning interface to guide users in providing voice commands, with subsequent voice command processing to execute corresponding operations without touch input, including correction processing for voice inconsistencies to enhance accuracy and intelligence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If voice recognition control is adopted to enable hands-free operation, then the user can carry out other activities requiring double hands, but the voice instruction judgment accuracy is insufficient and user experience is poor
Solution Approach 1:
The system performs preliminary actions by pre-processing voice signals through noise filtering, voice activity detection, and feature extraction before recognition. This preliminary processing prepares the voice data in advance, improving recognition accuracy while maintaining hands-free operation capability.
Solution Approach 2:
The system implements feedback mechanisms where recognition results are fed back to adjust recognition parameters and improve subsequent recognition accuracy. The system learns from user corrections and adjusts its voice instruction judgment based on feedback, resolving the accuracy issue while preserving hands-free operation.
2Measurement precision
If traditional touch control is used, then the terminal device can be operated accurately, but the user's double hands are confined and cannot carry out other activities
Solution Approach 1:
The system replaces the mechanical touch control system with an acoustic voice recognition system. Instead of requiring physical contact with the device, users can issue commands through voice, freeing their hands for other activities while the system maintains operation accuracy through sophisticated voice processing and recognition algorithms.
3Measurement precision
If voice control intelligence is enhanced to improve user experience, then more accurate voice instruction judgment can be achieved, but the system complexity increases
Solution Approach 1:
The voice control system is segmented into multiple independent modules including noise filtering, voice activity detection, feature extraction, recognition, and result processing. This segmentation allows each module to focus on a specific task, improving overall accuracy while managing system complexity through modular design that enables independent optimization and maintenance of each component.
Data Source
AI summary
A method and a device for controlling an operation mode of a terminal device, and a medium are provided. The method includes that: based on a received voice mode activation instruction under a preset condition, a voice operation learning mode is entered and a voice operation learning interface is displayed. The voice operation learning interface is configured to guide a user to output a voice instruction. The method further includes that: upon completion of the voice operation learning mode, a voice operation mode is entered; voice information is received in the voice operation mode; and the terminal device is controlled according to the voice instruction in the received voice information to execute an operation corresponding to the voice instruction.