Speech Information Processing Apparatus for Organization-Based Categorization
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Solution Overview
Problem
In collaborative research and development settings, speech information generated across multiple organizations is difficult to categorize and manage, as existing systems struggle to identify speakers and their respective organizations, leading to the need for whole speech information storage and manual categorization by administrators.
Innovation Solution
An information processing apparatus with a receiving unit, speaker identifying units, and an organization identifying unit that receives speech information, identifies speakers, and outputs categorized information to corresponding organizations, utilizing speech recognition and AI machine learning to associate speakers with their respective organizations and manage speech data accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If speech information from multiple organizations is stored without categorization, then all speech data can be preserved, but manual categorization by administrators is required and organization identification becomes difficult
Solution Approach 1:
The system enables automatic categorization of speech information by organization through speaker identification and organization association. The speech information processing unit automatically stores speech data with organization identifiers without requiring administrator intervention, making the system self-categorizing and eliminating manual sorting operations.
Solution Approach 2:
The patent replaces manual administrative categorization with automated speech recognition and organization identification systems. By substituting human administrators with automated processing units that identify speakers and their organizations, the system eliminates the need for manual categorization while maintaining complete speech information storage.
2Loss of information
If whole speech information is stored for all speakers, then complete data is preserved, but data management complexity increases across multiple organizations
Solution Approach 1:
The system segments speech information storage by organization, creating separate storage regions for each organization's speech data. The speech information processing unit divides incoming speech information into organization-specific segments based on speaker identification, reducing cross-organization data management complexity while preserving complete speech information within each organizational context.
Solution Approach 2:
The patent introduces an intermediary speech information processing unit that acts as a mediator between speech input and storage. This intermediary automatically identifies speakers, determines their organizations, and routes speech information to appropriate storage locations, simplifying data management while maintaining information completeness.
3Device complexity
If speaker identification is not implemented, then speech information can be processed simply, but organization identification from speakers becomes impossible
Solution Approach 1:
The system performs preliminary speaker identification before organization determination. By first identifying the speaker and then using that information to identify the associated organization, the system enables accurate organization identification while maintaining relatively simple processing through a staged approach rather than requiring complex simultaneous analysis.
Data Source
AI summary
An information processing apparatus includes a receiving unit, one or more first identifying units, a second identifying unit, and an output unit. The receiving unit receives speech information. The one or more first identifying units identify a speaker from the speech information. The second identifying unit identifies an organization to which the speaker belongs. The output unit outputs information regarding the speech information to an output destination corresponding to the organization.