Image Forming Apparatus Speech Recognition Job Type Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional image forming apparatuses face reduced speech analysis accuracy due to the large number of speech patterns used, leading to impaired recognition of critical commands and reliability issues.
Innovation Solution
The image forming apparatus associates speech patterns with specific job types, using a hardware processor to analyze input speech during job execution and execute processes based on the analysis results, thereby reducing the number of speech patterns required and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If all speech patterns stored in advance are used for speech analysis, then the coverage of speech recognition is improved, but the analysis accuracy is reduced
Solution Approach 1:
The patent segments the complete set of speech patterns into multiple categories based on job types (e.g., printing, copying, scanning). Instead of using all speech patterns uniformly, the system selects and uses only the speech patterns relevant to the current job type being executed. This segmentation allows the system to maintain comprehensive coverage across different jobs while improving accuracy for each specific job by using a focused subset of patterns.
Solution Approach 2:
The patent applies local quality by tailoring the speech pattern selection to the specific job context. Each job type has its own associated speech patterns that are optimized for that particular operation. The system dynamically adjusts which speech patterns are active based on the current job, ensuring that the most relevant patterns are used for analysis, thereby improving accuracy for each local context while maintaining overall system versatility.
2Adaptability or versatility
If a large number of speech patterns are used for speech analysis, then the system can recognize more speech commands, but the reliability of critical command recognition is reduced
Solution Approach 1:
The patent segments speech patterns by job type, which allows critical commands to be recognized with higher reliability within their specific job context. By dividing the large set of speech patterns into manageable job-type-specific groups, the system reduces interference between different command types and maintains focused attention on relevant commands, thereby improving reliability for critical operations like stopping or canceling jobs.
Solution Approach 2:
The patent introduces job type information as an intermediary factor that mediates between the user's speech input and the speech pattern matching process. The job type context acts as a filter or guide that helps the system correctly interpret speech commands, ensuring that critical commands are recognized reliably by using the appropriate speech patterns for the current job context rather than attempting to match against all possible patterns simultaneously.
Data Source
AI summary
An image forming apparatus may include: a storage that stores information in which a job type is associated with speech patterns for processings related to the job type; and a hardware processor that may: be inputted with a speech; acquire a job type; use speech patterns associated with a job type, which is acquired by the hardware processor and is being executed, to analyze a speech inputted during execution of the job; and execute the processings based on an analysis result by the hardware processor.