Acoustic Fraud Detection via Speech Pattern Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Senior individuals are particularly vulnerable to financial fraud due to their trusting nature and lesser likelihood of reporting such incidents, making them high-risk victims, especially with the rise of efficient but exploitable information technology.
Innovation Solution
A computer-implemented method and system utilizing ambient sound monitoring and speech pattern analysis to detect potential fraud triggers, recording and analyzing voice responses, and sending alerts to predetermined entities if a confidence level of fraud is exceeded, thereby protecting financial accounts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If senior individuals are targeted for fraud due to their trusting nature and assets, then fraud risk increases, but traditional protection methods are insufficient
Solution Approach 1:
The patent replaces traditional mechanical fraud protection methods (such as physical security measures or manual verification) with an acoustic field-based system. The listening device captures sound waves and voice patterns, transforming acoustic energy into electrical signals for analysis. This substitution enables automated, real-time detection of fraud indicators through speech pattern recognition and ambient sound monitoring, significantly improving protection reliability for senior individuals.
Solution Approach 2:
The patent introduces an intermediary system consisting of a listening device, processor, and server that mediates between potential fraud indicators and the senior individual. The listening device acts as an intermediary by capturing ambient sounds and voice patterns, the processor serves as an intermediary by analyzing these patterns against stored profiles, and the server acts as an intermediary by comparing analyses and generating fraud alerts. This multi-layer intermediary system enhances detection accuracy while protecting the senior individual from direct exposure to fraud risks.
2Measurement precision
If ambient sound monitoring and speech analysis are implemented, then fraud detection capability improves, but system complexity increases
Solution Approach 1:
The patent segments the fraud detection system into distinct functional modules: a listening device for capturing ambient sounds and voice patterns, a processor for analyzing acoustic signals and comparing them against stored profiles, and a server for maintaining speech pattern databases and generating fraud alerts. This segmentation allows each component to specialize in specific tasks, improving measurement precision while managing system complexity through modular design. The separation of functions enables independent optimization and simplifies maintenance.
Solution Approach 2:
The patent implements preliminary action by pre-storing speech patterns and voice characteristics in a database before fraud incidents occur. The system captures and analyzes normal speech patterns during a baseline period, creating reference profiles that are stored for future comparison. This preliminary characterization of acoustic patterns enables rapid, accurate fraud detection when anomalies occur, improving detection precision without requiring complex real-time analysis of all possible fraud scenarios.
3Speed
If real-time voice recording and analysis are performed, then fraud detection speed improves, but energy consumption increases
Solution Approach 1:
The patent implements periodic action by continuously monitoring ambient sounds at a low level and only initiating full voice recording and analysis when triggering sound patterns are detected. The system periodically scans the acoustic environment for keywords, phrases, or specific sound patterns associated with potential fraud. When such patterns are detected, the system transitions to active recording mode, performing comprehensive voice analysis. This periodic monitoring approach maintains fast detection response while significantly reducing energy consumption compared to continuous full-power recording.
Solution Approach 2:
The patent applies partial action by selectively recording and analyzing only those voice segments that contain potential fraud indicators, rather than continuously analyzing all speech. The system uses keyword spotting and pattern recognition to identify relevant portions of conversation, then focuses computational resources on analyzing only those segments. This partial analysis approach maintains high detection speed for critical fraud indicators while reducing overall energy consumption by avoiding unnecessary processing of benign speech.
Data Source
AI summary
The present disclosure describes systems and methods of fraud protection. A listening device may monitor ambient sound and detect one or more triggering sound patterns. The listening device may record the one or more triggering sound patterns and record a person's voice, and send the recordings to a server, wherein the server is configured to calculate a confidence level of fraud based on the one or more triggering sound patterns and the recording of the person's voice using a speech pattern model of the person, and to output an alert if the confidence level of fraud is greater than a threshold value.