Recognize the Most Dominant Person in Multiparty Meetings using Nontraditional Features

摘要：

Recognize the most dominant person in meetings is a prerequisite of human-computer interaction and artificial intelligence in meeting environment. This paper provides a novel method to recognize the most dominant person in meetings by analyzing features such as speaking length and speaking energy of each speaker in multi-party conversation scenario and uses the audio-visual meetings in the AMI Corpus to test the approach. Experiments show that although our features are simple, the results are promising. Finally, the least dominant person in meetings is also recognized with the same approach.

关键词： nontraditional features the most dominant person the least dominant person

作者: Cao Jie Pan Peng

作者单位: College of Computer and Communication Lanzhou University of Technology Lanzhou, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 312-316

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）