Voice-Parameter Analysis for Risk-Aware Call Acceptance
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Solution Overview
Problem
Existing communication systems provide limited information to users about incoming calls, making it difficult to identify potential scams or unsafe entities, especially when the caller's identity is unknown.
Innovation Solution
A communication processing system that analyzes incoming communication requests, retrieves device identifiers, and accesses databases to provide users with additional information or risk indicators on the communication acceptance screen, or modifies interactive icons based on risk levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the recipient is only given a source phone number to decide whether to accept the call, then the communication system remains simple and fast, but the recipient cannot identify potential scams or unsafe entities
Solution Approach 1:
The patent introduces a communication processing system as an intermediary between the caller and recipient. This system analyzes voice communication parameters, compares them against databases of known scammer patterns, and provides risk assessments to the recipient's device. The intermediary handles the complex analysis work, keeping the recipient's device relatively simple while improving call safety identification through external intelligence.
Solution Approach 2:
The system performs preliminary analysis of incoming calls by comparing voice parameters against databases of known scammers before the recipient makes a decision. Risk assessments, entity identification, and scammer pattern matching are all conducted in advance, allowing the recipient to see risk levels and make informed decisions without experiencing delay during the actual call decision moment.
2Loss of information
If the communication processing system analyzes voice communication parameters and accesses databases to provide risk indicators, then user awareness of potential scams is enhanced, but the processing time and system resources increase
Solution Approach 1:
The system performs database lookups and risk assessments in advance, before the recipient needs to make a call decision. Voice parameter extraction, entity identification, and scammer pattern matching are all completed preliminarily, so that when the recipient views the risk indicator, the information is already prepared and ready for immediate display without causing decision delay.
Solution Approach 2:
The communication processing system autonomously performs the analysis of voice parameters and database queries without requiring manual intervention from the recipient. The system self-services the information gathering and processing tasks, extracting relevant caller identity information and presenting risk assessments automatically, thereby reducing the time burden on the user while maintaining comprehensive analysis.
Data Source
AI summary
Methods and systems are described herein for manipulating a communication acceptance screen, manipulating an interactive communication acceptance icon, and restricting access to accounts based on voice communication parameters. In particular, when a communication is detected from one device to another device, that communication may be risky. Thus, the risk is mitigated by giving a user information about the source of the communication to give a user a chance to reject the communication. In addition, in instances where the user accepts the communication, the system enables monitoring the communication and restricting any accounts that are disclosed within the communication.