Context-Aware Call Disconnection Using Silence and Transcript Analysis
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Solution Overview
Problem
Existing telecommunication systems struggle to accurately and efficiently terminate calls, leading to resource wastage and inefficiency, particularly in high-volume call centers, due to inadequate silence detection and reliance on unreliable signaling or fixed time limits, which can result in unnecessary resource allocation and degraded system performance.
Innovation Solution
A telecommunication apparatus and method utilizing a session border controller (SBC) with voice activity detection (VAD) and advanced analysis, including transcription evaluation, metadata analysis, and sound pattern analysis to determine call termination, releasing resources when appropriate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If silence detection is used to detect call termination, then resource allocation can be improved, but detection accuracy deteriorates due to inability to handle complex scenarios like conference calls or calls with background noise
Solution Approach 1:
The system transitions from simple silence detection to multi-parameter analysis including speech activity detection, background noise analysis, call metadata evaluation, and participant behavior tracking. This changes the detection parameters from a single silence metric to multiple contextual parameters that together accurately determine call termination status
Solution Approach 2:
The call termination detection system combines multiple detection mechanisms (silence detection, speech activity detection, noise analysis, metadata evaluation) into a composite detection framework. Each mechanism contributes different aspects of call context analysis, and their combined output provides accurate termination detection across diverse call scenarios
2Device complexity
If fixed time limits are used for call recording, then resource management is simplified, but system adaptability deteriorates as important information may be cut off or silence unnecessarily recorded
Solution Approach 1:
The system replaces fixed time limits with dynamic call termination detection that adapts to actual call conditions. The termination detection continuously monitors multiple parameters and dynamically determines when a call has truly ended, allowing the recording duration to flexibly match the actual call content rather than being constrained by predetermined time limits
Solution Approach 2:
The call recording system automatically determines termination points through intelligent analysis of call parameters without requiring manual intervention or fixed time constraints. The system self-adjusts recording duration based on real-time detection of call termination indicators, eliminating the need for external resource management configuration
3Ease of operation
If signaling is relied upon to determine call termination, then system operation is simplified, but reliability deteriorates as signals may not be received by recorders or support services
Solution Approach 1:
The system introduces an intermediary intelligent detection layer between the call signaling system and the recording/support services. This intermediary analyzes multiple call parameters and translates them into reliable termination indicators that are communicated to all relevant system components, ensuring consistent and reliable termination detection across the entire telecommunication system
Solution Approach 2:
The system implements feedback mechanisms that continuously monitor call parameters and adjust termination detection decisions based on observed patterns. The feedback loop analyzes the effectiveness of termination detection and refines the detection algorithm over time, improving reliability while maintaining operational simplicity
Data Source
AI summary
A telecommunication apparatus and method can be configured to facilitate disconnection for conference calls. Embodiments can include the monitoring of an ongoing call (e.g. conference call or other type of call involving multiple parties), detecting a possible termination of the call based on a period of silence during the call for triggering an analysis of at least a portion of the call and evaluating the analysis results to determine whether the call is to be terminated or not. In the event termination occurs, resources can be unassigned to the call to free up resources. In the event it is determined that the call is not yet terminated, monitoring of the call can resume. In some embodiments, the conducted analysis can involve analyzing context specific aspects of the call (e.g. at least a portion of a transcript of the call, metadata related to the call, sound patterns, etc.).