Voice Recognition Text String Splitting for List Generation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Voice recognition technology is often more time-consuming than manual text entry, especially when creating lists, due to the need for repeated interactions with the system to correct errors and input multiple items, which can be slower than typing.
Innovation Solution
A system that intelligently splits a string of text into segments based on pauses, delimiters, or pre-defined phrases, allowing for real-time voice input to generate a list without additional user interaction, such as selecting buttons or input fields, by using a list generator that includes a voice recognizer and string splitter.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If voice recognition is used to input text, then hands are freed from manual typing, but the process becomes more time-consuming due to waiting delays and error corrections
Solution Approach 1:
The system performs preliminary actions by automatically generating and displaying a list of recognized terms before the user completes their speech input. The voice recognizer continuously processes audio and pre-generates text suggestions, so when the user stops speaking, the text is already ready for immediate use, eliminating the waiting delay associated with traditional voice recognition.
Solution Approach 2:
The system provides immediate feedback by displaying the recognized text as a list of terms shortly after the user stops speaking. This feedback mechanism allows users to see the results of their voice input instantly, correct errors by selecting from the displayed list, and continue without additional waiting time, thereby reducing the overall time loss compared to traditional voice recognition that requires full sentence completion and verification.
2Measurement precision
If traditional voice recognition displays text after full sentence completion, then accuracy is maintained, but the delay between speaking and text display increases
Solution Approach 1:
The system performs preliminary text generation and display actions before the user finishes speaking. The voice recognizer processes audio streams continuously and pre-displays recognized terms in a list format, allowing users to see partial results immediately. This preliminary action reduces the delay between speech and text display while maintaining accuracy through continuous validation of the recognized terms against the audio input.
3Measurement precision
If users manually select input fields and buttons for each item, then input precision is controlled, but the process becomes repetitive and time-consuming
Solution Approach 1:
The system performs self-service by automatically generating the list of terms and presenting them in a user-friendly format without requiring manual selection of input fields or buttons for each item. The voice recognizer autonomously processes the audio input, generates the term list, and displays it ready for use, eliminating the repetitive manual selection process while maintaining input precision through accurate voice-to-text conversion.
Solution Approach 2:
The system merges multiple functions into a single integrated process: the voice recognizer combines audio processing, text generation, and list display into one unified operation. Instead of requiring separate actions for selecting input fields, entering terms, and formatting the list, the system combines these functions to automatically produce a formatted list of terms, significantly improving productivity while maintaining precision through the integrated voice recognition algorithm.
Data Source
AI summary
In an embodiment, a method comprises analyzing a string of text that was generated based on audio input, identifying a plurality of text segments, wherein each text segment of the plurality of text segments comprises one or more words in the string of text, wherein at least one of the plurality of segments comprises a plurality of words, and organizing the plurality of text segments into a list of items, wherein each segment is a separate item in the list.