Smart Topic Generation for Video Call Transcript Navigation
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Solution Overview
Problem
Conventional video call transcription systems struggle with inaccurately identifying relevant portions of transcripts, require inefficient user interfaces for navigation, and fail to integrate contextual data across multiple transcripts and related content items.
Innovation Solution
A smart topic generation system utilizing a large language model, context transformer engine, and smart topic agent to generate actionable, standalone content items from video call transcripts, summarizing and surfacing relevant topics with minimal user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional natural language processing systems are used to generate transcripts and identify topics, then transcription capability is provided, but accuracy in identifying relevant portions and related content is poor
Solution Approach 1:
The system segments the transcript into multiple hierarchical levels: full transcript, sections, paragraphs, sentences, and phrases. This segmentation allows the AI model to analyze and identify relevant portions at different granularities, improving the precision of topic identification while capturing all related content regardless of its scope in the original transcript.
Solution Approach 2:
The system adds a new dimension by generating smart topics that are not directly present in the original transcript but are inferred and synthesized by the AI model. These smart topics represent broader categories or related concepts that connect multiple transcript portions, enabling the system to identify relevant content across different contexts and vernaculars.
2Ease of operation
If conventional systems provide comprehensive transcript search functionality, then all transcript data is accessible, but user interface complexity and navigation requirements increase significantly
Solution Approach 1:
The system extracts and presents only the most relevant smart topics and transcript portions to the user, rather than requiring them to navigate through the entire transcript or use complex search interfaces. The AI model curates and surfaces key information, eliminating the need for extensive user navigation while maintaining access to all underlying transcript data.
Solution Approach 2:
The smart topic generation system acts as an intermediary between the user and the full transcript. Instead of directly interacting with the raw transcript data, users interact with the AI-generated smart topics that summarize and organize the content, reducing interface complexity while preserving comprehensive search capability.
3Productivity
If multiple separate interfaces and applications are used to aggregate transcript data and related content, then comprehensive data access is achieved, but user productivity and efficiency decrease
Solution Approach 1:
The system merges the functionality of multiple separate interfaces and applications into a single integrated smart topic generation system. It combines transcript analysis, topic identification, content aggregation, and presentation into one unified system that automatically performs all these tasks, eliminating the need for users to switch between multiple applications and manually aggregate data.
Solution Approach 2:
The system performs preliminary actions by automatically generating smart topics and identifying relevant content before the user needs it. The AI model pre-processes the transcript, segments it, identifies topics, and organizes related content in advance, so when the user accesses the system, the work of aggregation and organization is already complete, saving significant time.
Data Source
AI summary
The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing a context transformer engine, a smart topic agent, and a large language model to generate a smart topic output. In particular, in one or more embodiments, the disclosed systems generate a smart topic output from a transcript of a video call. In some embodiments, the disclosed systems provide a smart topic interface that provides the smart topic output on a client device and receives selections of smart topic elements. In one or more embodiments, the disclosed systems generate a combined smart topic from transcripts of video calls in which client devices that participated are associated with a collaborating user account group.