Voice Recognition Engine for Dial-In Participant Identification
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Solution Overview
Problem
In virtual meetings, participants often struggle to recognize the identities of speakers, especially when they cannot see each other and are separated by distance, leading to potential misattribution of verbal communications and a lack of context in communication sessions.
Innovation Solution
A communication system that includes a name recognition engine to identify and attribute voice data to specific participants using speech recognition, presenting participant names in a graphical user interface and providing graphical effects to associate voice data with speakers, even for dial-in users accessing the meeting via telephone.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If participants join virtual meetings via telephonic devices without visual contact, then accessibility and convenience are improved, but participant identification and context understanding deteriorate
Solution Approach 1:
The system introduces a name recognition engine as an intermediary component that processes voice data from telephonic devices and matches it against stored voiceprints to identify participants. This mediator bridges the gap between audio-only input and the need for visual identification, allowing participants to be accurately identified without requiring video capabilities.
Solution Approach 2:
The patent replaces the mechanical/visual system of participant identification (seeing participants on screen) with an acoustic/biometric system (voiceprint recognition). Instead of relying on visual cues to identify speakers, the system uses voice-based biometric authentication to automatically identify and display participant names.
2Measurement precision
If voice-based identification is implemented for dial-in users, then participant recognition is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary actions by collecting and storing voiceprint data from participants during registration or previous meetings. This pre-collected biometric data is stored in a database, allowing the name recognition engine to quickly match incoming voice data against known participants without requiring complex real-time analysis, thereby reducing computational complexity while maintaining high recognition accuracy.
Data Source
AI summary
An example method is provided that may include receiving a first request to join a communication session; receiving voice data from a telephonic device in response to an audio prompt requesting a voice input from a dial-in user; interpreting the voice data to identify a particular name; and presenting the particular name in a graphical user interface associated with the communication session, the presentation of the particular name identifying that the dial-in user has joined the communication session.