Recipient Device Speech Activity Monitoring for Communication Sessions
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Solution Overview
Problem
Existing communication systems allow authorized contacts to initiate sessions without verifying the presence of the recipient, potentially leading to unintended live feeds into their household, as they may not be aware of the ongoing communication.
Innovation Solution
Implementing speech activity detection techniques to monitor audio data for presence, where speech indicates presence and absence of speech leads to ending the communication session, ensuring that recipients are aware and consenting to the session.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If authorized contacts can initiate communication sessions without presence verification, then ease of operation is improved, but reliability deteriorates due to unintended live feeds
Solution Approach 1:
The system performs presence verification before establishing the communication session by monitoring speech activity in the recipient environment. Speech detection is conducted preliminarily to confirm recipient presence before allowing the session to proceed, preventing unintended live feeds while maintaining ease of initiation for authorized contacts.
2Reliability
If presence monitoring is implemented to ensure recipient awareness, then reliability is improved, but device complexity increases
Solution Approach 1:
The recipient device autonomously monitors its own speech activity to determine presence without requiring external verification systems. The device uses its built-in microphone and processing capabilities to detect speech patterns, eliminating the need for additional presence verification hardware or complex intermediary systems.
3Measurement precision
If speech activity detection is used to monitor presence, then measurement precision is improved, but loss of information increases due to potential false negatives
Solution Approach 1:
The system dynamically adjusts the speech detection threshold and monitoring sensitivity based on environmental conditions and contextual cues. The presence determination is not based on a fixed criterion but adapts to varying speech patterns, background noise levels, and communication contexts, reducing false negatives while maintaining precision.
Data Source
AI summary
Methods and devices for causing a communications session between a first device and a second device to end based on lack of speech activity are described herein. In some embodiments, a communications between a first device and a second device may be initiated by the first device, where a first user account associated with the first device is authorized to initiate communications session with the second device by a second user account. After the communications session is started, audio data is received by a speech activity detection system, which determines whether the audio data represents speech or non-speech. If, after the communications session begins, non-speech is detected by the first device for more than a predefined amount of time, then the communications session is caused to end so that the first device is not capable of receiving video and/or audio associated with the second device.