Live Meeting Summarization With Real-Time Transcript Segmentation

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Solution Overview

Problem

Conventional methods for capturing information in conversations and meetings are inefficient, prone to human error, and often result in information overload, making it difficult for attendees to follow discussions and manage their time effectively.

Innovation Solution

A virtual participant system that transcribes audio data into text in real-time, segments the conversation, generates a live summary, and updates it based on subsequent audio data, using machine-learning models to organize and prioritize information for efficient delivery to participants.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional note-taking is performed during a conversation, then information can be recorded, but the note-taker is distracted from the conversation and human error leads to inaccurate recordation

Engineering Contradiction:

Improveaccuracy of information recordationVSAvoidability to follow conversation

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The patent replaces the mechanical human note-taking system with an automated AI system that uses speech-to-text conversion and natural language processing to transcribe and summarize conversations, eliminating human distraction and error while maintaining continuous engagement with the conversation flow

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The AI system performs self-service by automatically transcribing, analyzing, and summarizing the conversation without requiring human intervention, allowing the human participant to fully engage with the conversation while the system handles the documentation tasks

Inventive Principle:

Principle #25Self-service

2Loss of information

If conventional note-taking is performed during a conversation, then information can be recorded, but the high volume of information leads to information overload for attendees

Engineering Contradiction:

Improvecompleteness of information captureVSAvoidamount of information to process

Core Design Contradiction:

Loss of informationVSQuantity of substance

Solution Approach 1:

The patent extracts and isolates key information from the conversation stream using AI analysis, separating important points from redundant dialogue, and presenting only the essential information in the summary while maintaining complete capture of the original conversation

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system segments the continuous conversation into distinct topics, action items, and decision points, organizing the information overload into structured, manageable categories that are easier to process and reference

Inventive Principle:

Principle #1Segmentation

3Loss of information

If individuals attend all meetings, then complete information can be obtained, but time constraints and overlapping schedules prevent individuals from joining meetings on time

Engineering Contradiction:

Improvecompleteness of meeting informationVSAvoidtime available for meeting participation

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The AI system performs preliminary actions by transcribing and analyzing the meeting in real-time, generating summaries and key takeaways during the meeting itself, so that participants can access complete information immediately after the meeting without needing to attend every detail

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system provides immediate feedback to participants through real-time summaries and key point notifications, allowing attendees to stay informed about meeting content without requiring their full attention throughout the entire meeting duration

Inventive Principle:

Principle #23Feedback

4Measurement precision

If individuals closely follow discussions at meetings, then accurate understanding can be achieved, but it requires significant time and attention that conflicts with time constraints

Engineering Contradiction:

Improveaccuracy of understanding discussion contentVSAvoidtime required to follow discussions

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent substitutes the human cognitive process of following and processing discussions with an AI system that uses speech recognition and natural language processing to automatically transcribe, analyze, and summarize the content, providing precise understanding without requiring human time investment

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20260031088A1Systems and methods for live summarization

Publication Date: 2026.01.29 OTTER AI INC

AI summary

Method, system, device, and non-transitory computer-readable medium for generating summaries. In some embodiments, the method includes: obtaining a first set of audio data associated with the meeting while the meeting occurs; transcribing the first set of audio data into a first set of text data while the meeting occurs; generating a first version of a live summary of the meeting based at least in part on the first set of text data, the live summary including one or more text items; and updating the live summary of the meeting to a second version of the live summary based at least in part on a second set of audio data, wherein the second set of audio data is subsequent to the first set of audio data.