Voice Text Editing via Numerical Indicators
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Solution Overview
Problem
Current electronic devices face challenges in accurately selecting and editing text using voice commands due to inaccuracies in text selection processes for copy, paste, cut, delete, and insert functionalities.
Innovation Solution
A method that uses voice inputs to assign numerical indicators to target words within a text, allowing users to select and edit text segments by specifying starting and ending points, enabling precise execution of editing commands through voice commands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If voice commands are used for text selection and editing, then ease of operation is improved, but measurement precision deteriorates due to inaccuracies in text selection process
Solution Approach 1:
The patent introduces an intermediary system that processes voice commands through multiple stages: voice recognition to identify selection keywords, numerical indicator assignment to mark text boundaries, and confirmation protocols. This intermediary processing layer transforms imprecise voice input into accurate text selection by using structured intermediaries (numerical indicators) that bridge the gap between natural language and precise text positioning.
Solution Approach 2:
The system implements feedback mechanisms where the device reads back the selected text segment after voice commands are processed, allowing users to verify and correct selections. The feedback loop includes confirming selection boundaries, displaying highlighted text, and providing opportunities for correction before final editing operations are executed, thereby improving measurement precision while maintaining ease of operation.
2Measurement precision
If traditional touchscreen methods are used for text editing, then text selection accuracy is improved, but ease of operation deteriorates for users unable to use touchscreen
Solution Approach 1:
The patent replaces the mechanical touchscreen interaction system with an acoustic-based voice recognition system. Instead of requiring physical touch and finger manipulation, the system accepts voice commands as input, processes them through speech-to-text conversion, and executes text editing operations. This substitution maintains text selection accuracy while dramatically improving accessibility for users who cannot use traditional touchscreen methods.
Solution Approach 2:
Voice commands serve as an intermediary input method that translates user intent into precise text selection and editing operations. The system uses voice recognition technology as an intermediary layer between the user and the text editing function, converting spoken language into structured commands that achieve the same precision as touchscreen selection without requiring physical contact with the device.
3Productivity
If voice recognition technology is implemented for text editing, then productivity is improved through faster text manipulation, but device complexity increases due to integration of speech recognition systems
Solution Approach 1:
The patent implements a universal voice command system that handles multiple text editing functions (selection, copying, cutting, pasting, deleting) through a single integrated voice recognition interface. Rather than requiring separate systems for each function, the voice recognition system serves as a multi-functional controller that can execute various text editing operations based on voice commands, thereby improving productivity while managing device complexity through functional consolidation.
Solution Approach 2:
The system merges voice recognition capabilities with existing text editing functions into a unified interface. By combining the voice input processing system with the text manipulation engine, the patent creates an integrated system where voice commands directly trigger editing operations without requiring separate control mechanisms. This merging approach enhances productivity by streamlining the editing process while avoiding the complexity of maintaining separate independent systems.
Data Source
AI summary
A method, system and computer program product for editing a text using speech recognition includes receiving, by a computer, a first voice input from a user comprising a first target word. The computer identifies instances of the first target word within the text and assigns a first numerical indicator to each instance of the first target word within the text. A selection is received from the user including the first numerical indicator corresponding to a starting point of a selection area. The computer receives a second voice input from the user including a second target word, identifies instances of the second target word within the text, assigns a second numerical indicator to each instance of the second target word, and receives a selection from the user including the second numerical indicator corresponding to an ending point of the selection area.