Voice Command System for Document Heading Editing
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Solution Overview
Problem
Current voice dictation systems require users to explicitly identify and re-identify headings and subheadings in documents for editing, which can be time-consuming and inefficient, especially when multiple subheadings with the same name are located under different headings.
Innovation Solution
A voice command system that uses voice recognition to allow users to select, delete, or modify textual content associated with headings and subheadings by providing a command and identifier, with rules to determine the specific heading or subheading, enabling efficient editing of documents without the need for repeated identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users explicitly identify and re-identify headings and subheadings in documents for editing, then editing accuracy is improved, but editing time increases
Solution Approach 1:
The system performs preliminary action by automatically identifying and selecting the relevant subheading based on the current cursor position before the user issues the edit command. This eliminates the need for users to manually re-identify subheadings during editing, thereby reducing editing time while maintaining accuracy through automatic context-aware selection.
2Ease of operation
If voice recognition is used to identify subheadings, then ease of operation is improved, but reliability decreases when multiple subheadings have the same name
Solution Approach 1:
The system applies local quality by making the identification of subheadings context-dependent on the cursor position. When multiple subheadings have the same name, the system uses the local context (cursor location) to determine which specific subheading is intended, thereby maintaining both ease of operation through voice recognition and reliability through context-aware disambiguation.
3Measurement precision
If manual identification of headings and subheadings is required, then identification precision is improved, but productivity decreases
Solution Approach 1:
The system implements self-service by automatically identifying the relevant subheading and selecting the associated textual content based on cursor position and voice commands. This eliminates the need for manual identification while maintaining identification precision through context-aware algorithms, thereby significantly improving editing productivity.
4Ease of operation
If voice commands are used for document editing, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The system applies universality by designing a voice command system that handles multiple editing operations (selection, deletion, modification) and multiple levels of headings (headings and subheadings) through a unified interface. This multi-functional approach improves ease of operation while managing complexity through standardized voice recognition and context-aware processing algorithms.
Data Source
AI summary
A voice command system may enable a user to select, replace, delete, and/or modify items of textual content associated with, or following, headings and/or subheadings of a document by providing an input including a command (or identifier) and a heading/subheading identifier. The system may recognize, via voice recognition software and in combination with a rule set, the command and the identifier. For example, the system may include rules for determining a particular heading/subheading of the document being referenced by the identifier. The system may also include rules for identifying the textual content related to the identified heading/subheading. Once the textual content is identified, the system may automatically select or delete the identified textual content, and/or place a cursor (for example, a text input cursor) in a location where the deleted textual content was previously located.