Voice Input Group Keyword Routing System

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Solution Overview

Problem

Existing voice communication systems lack the ability to automatically and selectively output information to specific groups based on voice inputs, leading to unnecessary information dissemination to irrelevant groups and requiring manual user intervention.

Innovation Solution

A method and system that automatically record and analyze voice inputs for group-specific keywords, enabling automatic and concept-dependent output of information to specific groups without manual selection, using detection devices, analysis devices, and output devices to ensure relevant information is delivered only to intended groups.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual group selection is required for voice input routing, then information can be accurately delivered to specific groups, but user operation complexity increases and hands-free operation becomes impossible

Engineering Contradiction:
Improvehands-free operation capabilityVSAvoidmanual group selection process
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The system automatically performs group selection based on voice content analysis without requiring user intervention. The analysis device autonomously determines the appropriate group by analyzing keywords in the voice input, and the output device automatically routes information to the identified group, enabling hands-free operation while maintaining accurate group targeting

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

Groups are pre-configured with specific key terms associated with them. When voice input is received, the system compares the voice content against these pre-associated key terms to automatically identify the relevant group, eliminating the need for manual group selection during operation

Inventive Principle:
Principle #10Preliminary action

2Loss of information

If information is output to all groups receiving voice input, then comprehensive information dissemination is achieved, but irrelevant groups receive unnecessary information increasing information noise

Engineering Contradiction:
Improveinformation relevance to recipient groupsVSAvoidinformation dissemination efficiency
Core Design Contradiction:
Loss of informationVSProductivity

Solution Approach 1:

The system applies different information routing rules to different groups based on their specific characteristics and associated key terms. Each group receives information only when the voice input contains key terms specifically associated with that group, ensuring information relevance while maintaining efficient routing through automated analysis

Inventive Principle:
Principle #3Local quality

3Adaptability or versatility

If automatic voice analysis for group-specific keywords is implemented, then selective information output to relevant groups is achieved, but system complexity increases

Engineering Contradiction:
Improveselective group information routingVSAvoidvoice analysis and keyword matching system
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system divides the information routing function into separate modules: a detection device for voice input, an analysis device for keyword analysis and group identification, and an output device for information delivery. This segmentation allows each component to perform its specific function independently, making the overall system more manageable and maintainable despite the added complexity of automatic analysis

Inventive Principle:
Principle #1Segmentation

Data Source

PatentEP3588994B1Method for term-dependent output of information based on speech input and system
Publication Date: 2023.08.02 ANDREAS STIHL AG & CO KG
  • EP3588994B1 patent drawingFigure 1a~1d
  • EP3588994B1 patent drawingFigure 2
  • EP3588994B1 patent drawingFigure 3

AI summary

Method for the concept-dependent output of information (Info1, Info2) based on a speech input (SE) to a specific group (SG), wherein the method comprises the steps: a) capturing the speech input (SE), b) analyzing the captured speech input (SE) for the presence of a group-specific keyword (SB) which is assigned to the specific group (SG), and c) upon recognition of the group-specific keyword (SB) in the analyzed speech input (SE) outputting the information (Info1, Info2) based on the speech input (SE) to the specific group (SG).