Audio Query Response Engine for Selective Resource Retrieval
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Solution Overview
Problem
Caregivers face inefficiencies in obtaining relevant information during conversation sessions due to the need for manual input and excessive processing when accessing multiple resources, which is time-consuming and cumbersome.
Innovation Solution
A system utilizing a response engine that processes audio queries through speech recognition, generates transcripts, and determines responses from relevant resources, eliminating the need for manual input and excessive data retrieval, and providing concise, understandable responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If caregivers manually input queries and navigate multiple resources to obtain information, then they can access relevant information from various resources, but the process becomes time-consuming and requires excessive processing
Solution Approach 1:
The patent introduces a response engine as an intermediary component that sits between the caregiver's natural language query and the multiple information resources. This response engine automatically processes the query, identifies relevant information needs, and retrieves appropriate information from multiple resources without requiring manual navigation by the caregiver, thus reducing time loss while maintaining information completeness
Solution Approach 2:
The system performs preliminary actions by pre-configuring the response engine with knowledge about multiple information resources and their structures. When a caregiver submits a query, the response engine is already prepared to efficiently search and retrieve relevant information from the appropriate resources, eliminating the need for caregivers to manually navigate through each resource
2Loss of information
If the system retrieves excessive information from multiple resources to ensure completeness, then all relevant information is available, but the processing becomes excessive and responses become difficult to comprehend
Solution Approach 1:
The response engine extracts only the specific information needed to answer the caregiver's query from the available resources. Instead of retrieving and processing all possible information from multiple resources, the system selectively extracts relevant data points and synthesizes them into a concise, comprehensible response, reducing processing complexity while maintaining information completeness
Solution Approach 2:
The system segments the information retrieval process into distinct steps: query analysis, resource identification, selective information extraction, and response synthesis. This segmentation allows the response engine to handle each step efficiently, retrieving only necessary information from each resource and combining them into a coherent response without overwhelming processing complexity
3Productivity
If caregivers are required to input queries in specific formats or navigate structured commands, then resources can process the information efficiently, but the operation becomes cumbersome and less natural
Solution Approach 1:
The patent replaces the mechanical system of structured command input and manual navigation with a natural language processing system. The response engine uses speech recognition and natural language understanding to interpret caregivers' spoken or written queries, automatically converting them into efficient search operations across multiple resources, thus maintaining high productivity while dramatically improving ease of operation
Solution Approach 2:
The response engine is designed as a universal interface that can handle multiple types of queries (informational, confirmatory, investigative) across diverse information resources using a single natural language interface. This multi-functional capability allows caregivers to interact with different resources through a consistent, natural language paradigm rather than learning multiple structured command systems
Data Source
AI summary
Systems and methods to generate responses to queries conveyed by audio information are disclosed. Exemplary implementations may: obtain audio information that represents sounds captured by a client computing platform; generate, by performing speech recognition on the audio information, a transcript representing the utterances; generate engine instructions for a response engine, wherein the response engine is configured to obtain output from one or more resources to determine a final response to the query, wherein the engine instructions include at least part of the transcript and distinguishing descriptions for individual ones of the resources, wherein the distinguishing descriptions for the individual resources include specifications of types of information output by the individual resources; initiate transmission of the engine instructions to the response engine; receive, from the response engine, the final response determined by the response engine for the engine instructions; and effectuate presentation of the final response via the client computing platform.