PASS可自动将文档生成带语音的幻灯片,省去人工整理和演讲准备。
PASS: Presentation Automation for Slide Generation and Speech
- 基于LLM分析文档内容,自动生成结构化幻灯片
- 支持通用文档(非仅论文)转换,输出含AI语音的演示
- 引入新评估指标,量化判断幻灯片的相关性、连贯性与冗余度
在快节奏的当今世界,高效演示已成为线上线下会议沟通的重要工具。制作有吸引力的演示需要大量时间与精力,包括提炼关键信息、设计清晰简洁的幻灯片,以及反复排练以构建引人入胜的故事线。尽管已有研究尝试自动化从文档生成幻灯片,但主要局限于学术论文,且未解决演示内容的语音生成问题。为此,我们提出PASS——一个从通用Word文档生成幻灯片并自动配音的端到端流程。PASS通过分析用户文档,生成动态、吸引人的演示内容,并使用AI语音进行口头表达。此外,我们开发了一种基于大语言模型的评估指标,从相关性、连贯性和冗余度三个维度全面评价演示质量。代码与数据已开源于https://github.com/AggarwalTushar/PASS。
原文摘要 · Abstract (English)
In today's fast-paced world, effective presentations have become an essential tool for communication in both online and offline meetings. The crafting of a compelling presentation requires significant time and effort, from gathering key insights to designing slides that convey information clearly and concisely. However, despite the wealth of resources available, people often find themselves manually extracting crucial points, analyzing data, and organizing content in a way that ensures clarity and impact. Furthermore, a successful presentation goes beyond just the slides; it demands rehearsal and the ability to weave a captivating narrative to fully engage the audience. Although there has been some exploration of automating document-to-slide generation, existing research is largely centered on converting research papers. In addition, automation of the delivery of these presentations has yet to be addressed. We introduce PASS, a pipeline used to generate slides from general Word documents, going beyond just research papers, which also automates the oral delivery of the generated slides. PASS analyzes user documents to create a dynamic, engaging presentation with an AI-generated voice. Additionally, we developed an LLM-based evaluation metric to assess our pipeline across three critical dimensions of presentations: relevance, coherence, and redundancy. The data and codes are available at https://github.com/AggarwalTushar/PASS.
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