Automated Conference Highlight Generation via NLP Summarization

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Solution Overview

Problem

Current communication systems within enterprises face challenges in efficiently summarizing and disseminating information from conferences, as existing methods require manual processing and are not integrated, making it difficult for remote workers to access important information.

Innovation Solution

A system and method that uses natural language processing and machine learning to automatically generate summaries from conference transcripts, highlighting key points and generating video or audio clips, which can be edited by users to focus on important information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If manual processing methods are used to summarize conference information, then information can be passed between services, but the effort and time required increases significantly

Engineering Contradiction:

Improveinformation dissemination efficiencyVSAvoidmanual processing time

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The system enables automated self-service by using machine learning models to automatically generate summaries and highlights from conference transcripts without requiring manual human intervention. The ML model processes the transcript, identifies key information, and creates condensed summaries that can be directly used for information dissemination.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical processing with automated computational processing. Instead of humans manually reading and summarizing conference transcripts, the system uses natural language processing and machine learning algorithms to automatically analyze the transcript, identify important segments, and generate summaries, thereby eliminating the time-consuming manual effort.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If automated summarization using machine learning is implemented, then information access efficiency improves, but system complexity increases

Engineering Contradiction:

Improveinformation access efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system achieves multi-functionality by integrating multiple capabilities into a single unified platform: automatic transcript processing, machine learning-based highlight identification, video excerpt generation, and summary creation. This allows the system to handle various conference summarization tasks through a single integrated solution, managing complexity through functional consolidation rather than proliferation of separate systems.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS11570403B2Automated recording highlights for conferences

Publication Date: 2023.01.31 ZOOM COMMUNICATIONS INC

AI summary

A transcript of a conference (e.g., a video conference, an audio conference, or a telephone call with two or more participants) is processed to extract a conference summary. A short video conference summary or a short audio conference summary is then generated using timestamps from the transcript associated with strings (e.g., sentences) in the transcript that have been selected for highlighting as part of the conference summary. The short video or audio summary may be presented to users along with a text summary of the conference to enable efficient storage and transmission of information from the conference within a unified communications system.