CI-P: The "Poor Quality" Meetings Corpus

CI-P：“质量差”的会议语料库

• 批准号: 0958578
• 负责人: Adam Janin
• 金额: $ 9.93万
• 依托单位: International Computer Science Institute
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-01 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0958578&HistoricalAwards=false
• 关键词: CI; Poor; Quality; Meetings; Corpus

Go to any meeting or lecture with the younger generation of researchers, business people, or government, and there is a laptop or smartphone at every seat. Each laptop and smartphone is capable not only of recording and transmitting video and audio in real time, but also of advanced analytics on the data (e.g. speech recognition, speaker identification, face detection, etc.). Yet this rich resource goes largely unexploited mostly due to lack of good training data for machine learning algorithms.The first step in exploiting this resource is to collect a corpus of audio, video, and annotations of "natural" meetings using the participants' own laptops and cellphones, allowing both analysis of the meetings and training of machine learning algorithms. This one year planning project involves design of the corpus, including collection protocols, signals, formats, and annotations, collection of a small pilot corpus, and ongoing interaction with the community through mailing lists, forums, wikis, and a workshop hosted at ICSI in Berkeley, California. The annotations include the words spoken, events such as laughter, a telephone ringing, or a new participant entering the room, who is speaking, who appears on which camera, head and hand gestures, the participants' focus of attention, and summaries and topics.Successful planning for the collection of a significant number natural meetings from a variety of settings using the participants' own laptops and cellphones allows for a new generation of analytic tools for meetings including browsing, search, collaboration tools, and teleremote aids.

去参加任何与年轻一代的研究人员、商界人士或政府官员举行的会议或讲座，每个座位上都有一台笔记本电脑或智能手机。每台笔记本电脑和智能手机不仅能够实时录制和传输视频和音频，而且还能够对数据进行高级分析（例如语音识别、说话人识别、人脸检测等）。然而，由于缺乏机器学习算法的良好训练数据，这种丰富的资源在很大程度上没有得到开发。利用这一资源的第一步是使用参与者自己的笔记本电脑和手机收集“自然”会议的音频、视频和注释的语料库，允许对会议进行分析和机器学习算法的训练。这个为期一年的计划项目涉及语料库的设计，包括收集协议、信号、格式和注释，收集小型试点语料库，以及通过邮件列表、论坛、wiki和在加州伯克利的ICSI主办的研讨会与社区进行持续的交互。注释包括说过的话、笑声、电话铃声或新参与者进入房间等事件、谁在说话、谁出现在哪个摄像头上、头部和手势、参与者的注意力焦点、摘要和主题。使用参与者自己的笔记本电脑和手机，从各种设置中成功规划大量自然会议的集合，允许新一代的会议分析工具，包括浏览，搜索，协作工具和远程辅助。