Conference Participant Management via Audio Context Matching
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Solution Overview
Problem
Existing multi-user communication systems, such as group chats and conference calls, often face challenges in managing participants effectively, particularly in ensuring that only authorized individuals can join ongoing conferences, especially when different groups discuss varying topics, leading to potential security and privacy issues.
Innovation Solution
Implementing a system that uses a conversation context to manage conference participants by extracting audio from ongoing conferences, converting it into data, matching the data against a context repository containing subject matter and authorized participant lists, and granting or denying access based on these criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If audio extraction and context matching are implemented to verify participant authorization, then security and privacy are improved, but device complexity and processing time increase
Solution Approach 1:
The system performs preliminary actions by extracting audio from conference announcements, converting it to text, and matching against context repositories before the actual conference join attempt. This preliminary verification process identifies authorized participants in advance, allowing the system to quickly grant or deny access without complex real-time verification during the conference join process.
Solution Approach 2:
The patent introduces an intermediary context repository that stores pre-defined conference contexts including authorized participant lists. Instead of directly comparing participant identities with conference security policies, the system uses this intermediary repository to match extracted audio content against stored contexts, simplifying the verification process while maintaining security.
2Measurement precision
If audio processing and context matching are performed for each join request, then access control accuracy is improved, but processing time increases
Solution Approach 1:
The system performs audio extraction, text conversion, and context matching as preliminary actions before the actual conference join is finalized. By completing these verification steps in advance, the system ensures accurate access control decisions are made before participants are admitted, preventing unauthorized access while maintaining efficient join processing.
Solution Approach 2:
The access control process is segmented into distinct phases: audio extraction from conference announcements, text conversion from audio, context matching against stored repositories, and final authorization decision. This segmentation allows each step to be optimized independently and enables parallel processing where possible, reducing overall processing time while maintaining accuracy.
Data Source
AI summary
Using a conversation context to manage conference participants including receiving a request from an invitee to join a conference in progress; extracting audio from the conference; converting said audio to data describing the conference; matching data to a context, wherein the context comprises a specification of a subject matter of the conference and a list of authorized participants for the conference; comparing the invitee to the list of the authorized participants for the conference; responsive to determining that the invitee matches an authorized participant of the list of authorized participants for the conference, granting permission to the invitee to join the conference; and responsive to determining that the invitee does not match an authorized participant of the list of authorized participants for the conference, denying the invitee access to the conference.