Automated Presentation Creator with Time-Constrained Summarization
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Solution Overview
Problem
Existing automated presentation creation tools fail to efficiently summarize lengthy documents into concise, relevant presentations that can be narrated within a specified time frame, leading to user inefficiency in processing large amounts of information.
Innovation Solution
A computer processor applies natural language processing to generate a long summary of a document, selecting the most relevant information and using text-to-speech processing to create audio content, which is then integrated with text slides to form a multimedia presentation, ensuring the presentation can be narrated within a specified maximum time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the entire document is converted to a presentation, then all information is preserved, but the presentation time exceeds the specified maximum time
Solution Approach 1:
The system extracts only the most relevant sentences from the document based on relevance scoring, rather than including all content. This extraction process selectively removes less important information to fit within the time constraint while preserving the core message.
Solution Approach 2:
The system changes the parameter of information density by adjusting the level of summarization. It transforms the full document into a condensed version that maintains essential information while reducing overall content volume to match the desired presentation duration.
2Loss of time
If a short summary is generated, then the presentation time is reduced, but the amount of relevant information is insufficient
Solution Approach 1:
The system adjusts the summarization parameter to generate a long summary rather than a short one, allowing more relevant information to be included while still maintaining a condensed format that fits within the time constraints.
Solution Approach 2:
The system uses relevance scoring as feedback to evaluate which sentences should be included in the summary. By scoring sentences based on their relevance to the main topic, the system can selectively include more information in the long summary while ensuring each included sentence contributes meaningfully to the overall content.
3Loss of information
If natural language processing is applied to select relevant information, then information quality is improved, but the processing complexity increases
Solution Approach 1:
The system replaces manual information selection with automated text-to-speech processing and natural language algorithms. This substitution of mechanical/manual processes with automated systems handles the complexity of relevance assessment and sentence selection without requiring human intervention.
4Ease of operation
If text-to-speech processing is applied to generate audio content, then presentation engagement is improved, but the processing time increases
Solution Approach 1:
The system performs text-to-speech conversion as part of the automated presentation creation process, generating audio content in advance. This preliminary action allows the audio to be ready when needed, reducing last-minute processing time while maintaining engagement quality.
Data Source
AI summary
Aspects create a multimedia presentation wherein processors are configured to calculate a time it would take to narrate a plurality of words in a document at a specified speech speed in response to determining that the time it would take to narrate the plurality of words in the document at the specified speech speed exceeds a specified maximum time, generate a long summary of the document as a subset of the plurality of words, generate audio content for a first portion of the plurality of words of the long summary by applying a text-to-speech processing mechanism to the portion of the long summary at the desired speech speed, and create a multimedia slide of a multimedia presentation by adding the generated audio content to a presentation of text from a remainder portion of the plurality of words of the long summary.