Speech Input Interface Text Processing Control
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Solution Overview
Problem
Speech input recognition errors, such as duplication, redundancy, and unclear organization, in natural language processing (NLP) systems lead to inefficient and inaccurate content input, particularly in office automation systems, where users must manually modify recognized text.
Innovation Solution
An information processing method and system that provides a control associated with a speech input interface, allowing users to automatically process and modify recognized text using AI technologies, such as text processing models and digital assistant interfaces, to generate accurate and refined output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If speech recognition is used for text input, then input speed and convenience are improved, but recognition errors such as duplication, redundancy, and unclear organization occur
Solution Approach 1:
The patent introduces an intermediary text processing system between speech recognition and final output. This intermediary layer includes processing controls that automatically detect and correct recognition errors such as duplication, redundancy, and organizational issues, thereby maintaining high input speed while improving recognition accuracy.
Solution Approach 2:
The system implements self-service text processing where the speech recognition system automatically processes and corrects its own output without requiring external manual intervention. The processing controls enable the system to self-correct recognition errors, maintaining both speed and accuracy.
2Measurement precision
If manual text modification is implemented to correct recognition errors, then text accuracy is improved, but operation efficiency deteriorates
Solution Approach 1:
The system enables automatic self-correction of text accuracy issues through processing controls that autonomously detect and fix recognition errors. This eliminates the need for manual text modification while maintaining high text accuracy, thereby preserving operation efficiency.
Solution Approach 2:
The patent implements a feedback mechanism where the system continuously monitors recognized text for errors and automatically applies corrections. This closed-loop feedback system maintains text accuracy without requiring manual intervention, thus avoiding the efficiency loss that would result from manual modification.
3Measurement precision
If complex text processing is applied to correct speech recognition errors, then text quality is improved, but system complexity increases
Solution Approach 1:
The patent segments the text processing function into distinct processing controls that can be independently applied. Rather than implementing a single complex processing system, the solution divides text correction into manageable segments (such as detecting duplication, removing redundancy, and organizing content), thereby improving text quality while controlling system complexity.
Data Source
AI summary
This application provides an information processing method and system, a device, and a medium. The method includes: providing a first control associated with a speech input interface, where the speech input interface is displayed with a first text, and the first text is obtained by converting a first speech input; and displaying a second text on the speech input interface in response to an operation associated with the first control, where the second text is obtained by processing the first text based on a processing process corresponding to the first control.


