Automatic Report Creation System Using Voice Recognition and Location Tracking
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Solution Overview
Problem
Existing automatic report creation systems are limited to maintenance/inspection work and cannot generate reports for various uses, lacking the ability to convert arbitrary content into a report.
Innovation Solution
An automatic report creation system incorporating a voice recognition unit, location information confirmation unit, and term dictionary to extract necessary terms from conversations, determine meeting locations and times, and create reports based on recorded speech, including information about meeting places, start and end times, and utterance keywords.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the system uses speech input consolidation for maintenance/inspection work, then automatic report creation is achieved for property maintenance, but the system cannot convert arbitrary content into reports and is limited to specific use cases
Solution Approach 1:
The system extracts key information elements (time, location, participants, content, conclusion) that can be universally applied across different report types including meeting minutes, inspection reports, and maintenance records. The speech recognition and information extraction mechanisms serve multiple report creation functions rather than being dedicated to a single use case.
Solution Approach 2:
The report creation process is divided into distinct functional modules: speech input acquisition, speech-to-text conversion, key information extraction (time, location, participants, content, conclusion), and report generation. This segmentation allows the system to handle different report types by configuring which information elements are extracted and how they are formatted, without requiring complete system redesign.
2Productivity
If the system manually processes speech information for each work target item, then accurate maintenance/inspection reports are created, but automatic report creation for various different uses cannot be achieved
Solution Approach 1:
The system automatically extracts key information elements (time, location, participants, content, conclusion) from speech-to-text converted data without requiring manual processing for each work target item. The information extraction mechanisms operate autonomously to identify and structure relevant details, enabling high-speed automatic report generation while maintaining accuracy through configured extraction rules.
Solution Approach 2:
The system incorporates mechanisms to verify and refine extracted information elements against the original speech data and predefined report templates. This feedback loop ensures that automatically extracted time, location, participants, content, and conclusion information meets accuracy requirements before final report generation.
3Loss of information
If the system lacks location information confirmation, then simpler processing is used, but automatic ascertainment of meeting place and time cannot be achieved
Solution Approach 1:
The system combines location information confirmation (GPS) and time information confirmation (clock) functions with the speech processing and information extraction mechanisms into an integrated report creation system. These confirmation units work together with the speech recognition and extraction modules to automatically populate meeting place and time details without requiring separate standalone systems.
Data Source
AI summary
To provide an automatic report creation system which can automatically create reports for various different uses. This automatic report creation system included a voice recognition unit 3, a clock unit 7 and a term dictionary 9, wherein the voice recognition unit 3 recognizes the input of a pre-stored start term, the clock unit 7 calculates the start time on the basis of the time when the voice recognition unit 3 recognized input of the start term, the voice recognition unit 3 recognizes that a pre-stored end term has been inputted, the clock unit 7 calculates the end time on the basis of the time when the voice recognition unit recognized input of the end term, the voice recognition unit 3 stores speech from the start time to the end time as recorded speech, analyzes the recorded speech.