Virtual Meeting Audio Analysis for Automatic Speaker Transition
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Solution Overview
Problem
Current virtual meeting technologies require complex software and user input to manage speaker transitions and assign tasks, leading to difficulties in ensuring attendees can act on assigned tasks without missing important discussions.
Innovation Solution
A method that analyzes audio data from a virtual meeting to automatically unmute the next speaker and create tasks based on recognized commands or requests, using databases of names and phrases to identify actions and trigger corresponding actions within the meeting engine.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual speaker transition management is used, then attendees can control the meeting flow, but the complexity of software and user input increases
Solution Approach 1:
The system automatically detects when a current speaker has finished speaking and autonomously transitions to the next speaker without requiring manual user input. The meeting engine monitors audio data and automatically unmutes the next speaker based on detected speech patterns, eliminating the need for complex manual controls.
Solution Approach 2:
The patent replaces manual mechanical control (user clicking buttons to transition speakers) with an automated acoustic detection system. The meeting engine uses audio analysis and speech recognition to automatically determine when to switch speakers, substituting the mechanical user interface with an intelligent automated system.
2Productivity
If manual task assignment is used, then tasks can be assigned during meetings, but attendees may miss important discussions while taking notes
Solution Approach 1:
The system automatically detects task assignment commands in the audio data and autonomously creates and assigns tasks to the appropriate attendees. The meeting engine listens for specific phrases indicating task assignments and automatically processes them, eliminating the need for manual note-taking and task documentation by attendees.
Solution Approach 2:
The system provides real-time feedback by analyzing audio data and automatically responding to task assignment requests. When the meeting engine detects a task assignment command, it immediately processes the information and notifies the assigned attendee, creating a closed-loop feedback system that ensures tasks are captured without missing discussion content.
3Extent of automation
If automatic speaker transition is implemented, then speaker management is simplified, but audio analysis complexity increases
Solution Approach 1:
The patent introduces a meeting engine as an intermediary layer between the audio input and the speaker transition control. This intermediary component processes audio data, identifies speech patterns, and makes automated decisions about speaker transitions, simplifying the overall system architecture while enabling automatic speaker management.
Solution Approach 2:
The meeting engine serves multiple functions: it monitors audio data for speaker identification, detects task assignment commands, manages speaker transitions, and notifies attendees. This multi-functional component consolidates various complex operations into a single versatile system that handles both speaker management and task assignment automatically.
Data Source
AI summary
Audio data associated with one of a plurality of users of a virtual meeting hosted by a virtual meeting application is received. The audio data is analyzed to identify another user of the virtual meeting. If another user is identified in the analyzed audio data, a setting of the virtual meeting application is adjusted to enable a client device for the identified user to receive audio input so as to facilitate a dialog among the users of the virtual meeting.