一个基于语音的口头报告问答支持系统

R. Asadi, H. Trinh, H. Fell, T. Bickmore
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引用次数: 4

摘要

目前的幻灯片软件,如PowerPoint,加强了线性口头陈述的传递。在问答环节或复习讲座等场合,需要更多的即兴和动态演讲。智能系统可以自动识别和显示与演讲者演讲最相关的幻灯片,允许演讲者更灵活地安排他们的演讲。我们介绍了Quester,一个能够在问答过程中快速访问相关演示内容的系统,并支持演讲者领导的非线性演示。给定幻灯片内容和笔记,系统根据与口语的语义接近程度对演示幻灯片进行排名,显示相关度最高的幻灯片,并在幻灯片笔记中突出显示相应的内容关键词。我们系统的设计是根据对专家演讲者的采访和对讲座和会议演讲录音的分析得出的结论。在一项比较我们的动态支持系统和静态幻灯片导航系统的主题内部研究中,演讲者对我们的系统表达了强烈的偏好,并且使用我们的系统更有效地回答了问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quester: A Speech-Based Question Answering Support System for Oral Presentations
Current slideware, such as PowerPoint, reinforces the delivery of linear oral presentations. In settings such as question answering sessions or review lectures, more extemporaneous and dynamic presentations are required. An intelligent system that can automatically identify and display the slides most related to the presenter's speech, allows for more speaker flexibility in sequencing their presentation. We present Quester, a system that enables fast access to relevant presentation content during a question answering session and supports nonlinear presentations led by the speaker. Given the slides contents and notes, the system ranks presentation slides based on semantic closeness to spoken utterances, displays the most related slides, and highlights the corresponding content keywords in slide notes. The design of our system was informed by findings from interviews with expert presenters and analysis of recordings of lectures and conference presentations. In a within-subjects study comparing our dynamic support system with a static slide navigation system during a question answering session, presenters expressed a strong preference for our system and answered the questions more efficiently using our system.
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