Automatic Communication Management Using Voice Sound Level Detection
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Solution Overview
Problem
Existing communication management systems fail to effectively prevent unintentional establishment and prolonged unintentional voice communications, leading to disruptions and inefficiencies, especially with mobile devices where accidental activation can result in unwanted calls and messaging overload.
Innovation Solution
Implementing an automatic communication management system that uses voice sound level detection to determine the unintentional nature of a communication and triggers closure of the communication if the voice sound level is below a threshold for a predetermined duration, with exceptions for pre-identified critical communications like emergency services or muted participants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automatic communication closure is triggered based on low voice sound level detection, then unintentional communications are prevented from lasting excessively, but legitimate communications with muted participants or emergency services may be incorrectly closed
Solution Approach 1:
The system applies different quality rules to different communication contexts by maintaining a whitelist of protected communication types (emergency services, conferences, muted participants). This allows the voice level detection to be applied locally only to communications not in the protected categories, thereby avoiding false closure of legitimate communications while maintaining high detection accuracy for unintentional calls.
Solution Approach 2:
The system incorporates feedback mechanisms by continuously monitoring voice sound levels during communication and dynamically adjusting the closure decision based on detected patterns. The system provides feedback to the user interface to inform users of detected unintentional communications and allows manual override, creating a closed-loop system that learns from user corrections to improve future detection accuracy.
2Extent of automation
If voice sound level detection is implemented for all communications, then unintentional communications can be detected, but system complexity and processing requirements increase
Solution Approach 1:
The system performs preliminary classification of communications before applying voice level detection by checking against the whitelist of protected communication types. This preliminary action filters out communications that should not be monitored, thereby reducing the overall processing load and system complexity while maintaining automated detection capabilities for applicable communications.
Solution Approach 2:
The communication management system is segmented into distinct functional modules: communication type classification, voice level detection, closure decision logic, and user interface management. This segmentation allows each module to be optimized independently and facilitates easier maintenance and debugging, thereby managing system complexity while preserving automation extent.
3Loss of time
If communication closure is triggered quickly upon detecting low voice level, then unintentional communications are terminated promptly, but legitimate communications with temporary silence are interrupted
Solution Approach 1:
The system employs dynamic threshold adjustment and adaptive monitoring periods based on communication context. For communications not in the protected whitelist, the system applies aggressive closure timing to quickly terminate unintentional calls. For borderline cases, the system dynamically extends the monitoring period to accommodate temporary silences in legitimate communications, thereby optimizing the balance between quick termination and false prevention.
Solution Approach 2:
The system changes the parameter of closure trigger timing based on the communication type. Protected communications (emergency services, conferences) have their closure threshold parameters adjusted to require more extreme or prolonged low voice levels before triggering closure, while non-protected communications use more sensitive timing parameters. This parameter differentiation allows quick termination of unintentional calls without interrupting legitimate communications with temporary silence.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution effectively prevents unintentional communications from lasting excessively, reducing disruptions and messaging overload while allowing critical communications to continue uninterrupted.
Implementation Method 1
a triggering of a closure of the established communication in progress as a function of the voice sound level detected on at least one audio stream of the established communication in progress
Data Source
AI summary
Embodiments discussed herein relate to automatic communication management, such as automated closure of a communication in circumstances where establishment of the communication is accidental, particularly from mobile terminals. A method of use of automatic communication management is disclosed. The method can include a triggering, following establishment of a communication between at least a communication terminal of the user and at least one other communication terminal, an activated automatic communication management which enables triggering of a closure of the established communication in progress as a function of the detected vocal sound level on at least one audio stream of the established communication in progress. In this way, if establishment of the communication is detected as being unintentional because of the vocal sound level of the communication, the communication will be closed.