Recognition and understanding of meetings
Recognition and understanding of meetings
复制标题
对会议的认可和理解
DOI：
--
复制
发表时间：
2010
期刊：
影响因子：
--
通讯作者：
S. Renals
中科院分区：
文献类型：
--
作者：
S. Renals
本文是关于在会议中使用音频、视频和其他信号来解释人类交流的。自动会议识别和理解是极具挑战性的，因为会议中的通信是自发的和对话式的，并且涉及多个发言者和多种模式。这导致了一些重要的研究问题，在信号处理，语音识别，并在话语解释，同时考虑到个人和群体的行为。解决这些问题需要跨学科的努力。在本文中，我讨论了捕获和注释的多模态会议录音-导致AMI会议语料库-以及我们如何建立在此基础上开发技术和应用程序的识别和解释的会议。
This paper is about interpreting human communication in meetings using audio, video and other signals. Automatic meeting recognition and understanding is extremely challenging, since communication in a meeting is spontaneous and conversational, and involves multiple speakers and multiple modalities. This leads to a number of significant research problems in signal processing, in speech recognition, and in discourse interpretation, taking account of both individual and group behaviours. Addressing these problems requires an interdisciplinary effort. In this paper, I discuss the capture and annotation of multi-modal meeting recordings---resulting in the AMI meeting corpus---and how we have built on this to develop techniques and applications for the recognition and interpretation of meetings.