Voice Input Entity Expansion for Network Bandwidth Reduction
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Solution Overview
Problem
Excessive network transmissions of voice-activated data in computing devices lead to inefficient processing and bandwidth utilization, particularly due to unclear or conversational-style inputs that require follow-up requests for clarification.
Innovation Solution
A system and method that employs a natural language processor and action handler to parse voice inputs, identify requests, and generate digital components that clarify ambiguous terms, reducing the need for follow-up transmissions by converting unclear inputs into specific formats recognizable by service provider devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple network transmissions are used to clarify or request additional information in response to a first network transmission, then the system can obtain complete information to fulfill the request, but excessive network transmissions occur which degrade processing efficiency and bandwidth utilization
Solution Approach 1:
The system performs preliminary actions by proactively expanding ambiguous entities (e.g., converting 'home' to a specific address, 'coffee shop near my house' to a specific location) before transmitting the request to the service provider. This preliminary entity expansion ensures that the initial network transmission contains complete, unambiguous information, eliminating the need for follow-up clarification transmissions and thereby improving processing efficiency while maintaining information completeness.
2Loss of information
If multiple network transmissions are used to clarify or request additional information, then complete information can be obtained, but bandwidth utilization becomes inefficient due to excessive transmissions
Solution Approach 1:
The system performs entity expansion in advance using local resources (GPS data, contact information, calendar events) before network transmission. By resolving ambiguities locally beforehand, the system minimizes the amount of data that needs to be transmitted back and forth across the network, thereby reducing bandwidth consumption while ensuring that the service provider receives complete, actionable information in the first transmission.
3Loss of information
If the responding computing device is at or above its processing capacity, then network transmissions can complicate data routing or degrade response quality, but the system still needs to handle multiple transmissions for clarification
Solution Approach 1:
The system performs entity expansion and clarification locally before transmission, reducing the processing burden on the service provider device. By pre-resolving ambiguities and providing complete information in the initial transmission, the system avoids complicating data routing and ensures that the service provider can process the request efficiently even when operating at or near capacity, thereby maintaining response quality and reliability.
Data Source
AI summary
The present disclosure is generally directed to the generation of voice-activated data flows in interconnected network. The voice-activated data flows can include input audio signals that include a request and are detected at a client device. The client device can transmit the input audio signal to a data processing system, where the input audio signal can be parsed and passed to the data processing system of a service provider to fulfill the request in the input audio signal. The present solution is configured to conserve network resources by reducing the number of network transmissions needed to fulfill a request.