Virtual Meeting Content Enhancement via Audio Triggered Dynamic Updates
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Solution Overview
Problem
Current digital remote meeting technologies lack dynamic content enhancement capabilities, resulting in static and unengaging presentations that fail to effectively capture and maintain viewer attention, especially in repeated virtual meetings where presenter and receiver preferences are not efficiently managed.
Innovation Solution
A method and system for enhancing virtual meetings by receiving presentation content with speech triggers, identifying these triggers in recorded audio, and dynamically applying corresponding enhancements such as text highlighting, zooming, and polling features, utilizing AI capabilities on the edge to reduce network traffic and enhance processing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If dynamic content enhancement is implemented in virtual meetings, then viewer engagement and effectiveness are improved, but device complexity and processing requirements increase
Solution Approach 1:
The patent introduces an intermediary enhancement system that sits between the presenter's content and the receivers' displays. This intermediary layer processes speech triggers and automatically applies enhancements (highlighting, zooming, polling) without requiring complex coordination between all participants' devices, thus improving engagement while managing system complexity.
Solution Approach 2:
The system employs AI capabilities that automatically detect speech triggers and apply appropriate content enhancements without manual intervention. The AI self-manages the enhancement process by listening to the presenter, identifying key moments, and dynamically adjusting the presentation display, reducing the need for complex manual control mechanisms.
2Loss of energy
If AI capabilities are processed on the edge to reduce network traffic, then network efficiency is improved, but local processing requirements and device complexity increase
Solution Approach 1:
The patent segments the processing tasks by implementing AI capabilities at the edge (on receiver devices or local servers) rather than requiring centralized cloud processing. This segmentation allows speech trigger detection and enhancement decision-making to occur locally, reducing network traffic while distributing processing requirements across multiple edge nodes rather than concentrating complexity in one central system.
3Measurement precision
If speech triggers are automatically identified in recorded audio, then presentation enhancement accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary action by pre-processing and transcribing the presenter's audio into text format that can be efficiently analyzed for speech triggers. By converting audio to text in advance and maintaining this transcription alongside the presentation content, the system enables rapid trigger identification during the actual presentation without requiring real-time audio analysis, thus improving accuracy while minimizing processing time delays.
Data Source
AI summary
A method, computer system, and a computer program product for digital remote presentation are provided. Presentation content is received that includes visual content, one or more speech triggers, and one or more presentation enhancements corresponding to the one or more speech triggers. A virtual meeting is presented by transmitting the presentation content to at least one receiver computer. A first audio file is received that includes recorded audio spoken by a presenter during the virtual meeting. From the first audio file the one or more speech triggers spoken by the presenter are identified. The respective presentation enhancement corresponding to the identified speech trigger is performed. The presentation enhancement is presented to the at least one receiver computer during the virtual meeting.