Call Recording Test Engine Audio Fingerprinting Compliance
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Solution Overview
Problem
Contact centers face challenges in ensuring reliable call recording and retrieval, particularly due to inadequate metadata association and poor recording compliance, leading to potential losses of significant call data and compliance issues with proprietary customer information (PCI) regulations.
Innovation Solution
A call recording test engine is developed, comprising a test database, synthetic call generator, and test manager, which actively records and compares call audio to ensure comprehensive testing and alignment, using audio fingerprinting to identify omitted segments and verify PCI compliance without impacting live systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional passive call recording systems are used, then system simplicity is maintained, but recording reliability and completeness deteriorate due to inadequate metadata association and poor recording compliance
Solution Approach 1:
The patent implements preliminary action by deploying a test engine that proactively places test calls and records test audio before actual production calls occur. This allows the system to verify recording functionality, metadata association, and compliance requirements in advance, ensuring recording reliability is established before operational use. The test engine performs preliminary validation of the entire call recording chain including recording, metadata tagging, and storage retrieval.
Solution Approach 2:
The patent introduces an intermediary test engine that acts as a mediator between the call system and the recording system. This test engine generates synthetic test calls, captures test audio independently, and compares it against the recording system's output. This intermediary layer enables verification of recording compliance and metadata accuracy without disrupting actual production calls, resolving the contradiction by adding testing capability without compromising operational simplicity.
2Loss of information
If comprehensive call recording testing is implemented, then recording completeness is improved, but system complexity and resource consumption increase
Solution Approach 1:
The patent applies the copying principle by creating synthetic test calls that replicate actual call structures and content. The test engine generates copies of typical call scenarios with known metadata and expected recording outcomes. These synthetic copies are used to validate the recording system without requiring actual production calls, thereby preventing data loss verification while avoiding the complexity of managing real customer call data.
Solution Approach 2:
The patent utilizes parameter changes by systematically varying test call parameters such as call duration, metadata types, recording formats, and storage locations. The test engine modifies these parameters across different test scenarios to comprehensively validate recording completeness under various conditions. This approach ensures thorough testing of information retention without requiring proportionally increased system infrastructure.
3Measurement precision
If active call recording testing is performed on live systems, then recording accuracy is verified, but system performance and availability are impacted
Solution Approach 1:
The patent implements segmentation by separating the testing function into an independent test engine that operates parallel to the production call system. This segmentation allows recording accuracy verification through synthetic test calls without interfering with actual customer service operations. The test engine records, retrieves, and validates test recordings in isolation, ensuring measurement precision while maintaining system productivity and availability.
Solution Approach 2:
The test engine performs self-service testing by autonomously generating test calls, capturing reference audio, retrieving recordings from the system, and validating accuracy without requiring external intervention or disruption to production systems. This self-contained testing approach verifies recording precision while maintaining system availability, as the test operations are self-managed and do not compete for production resources.
Data Source
AI summary
A system and methods for reliable call recording testing and proprietary customer information retrieval, wherein recording may be both active and passive in nature, recording call audio from the moment a call begins such as to include dial tones, IVR interactions, and other non-conversation call contents that may generally be omitted in traditional recordings. These recordings may then be compared to similar recordings collected by traditional systems to “align” the recordings, identifying portions of the call that may have been omitted from one recording by using audio fingerprinting to match recordings up for improved analysis.


