Recognize the most dominant person in multiparty meetings using nontraditional features

doi:10.1109/ICICISYS.2010.5658665

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	Recognize the most dominant person in multiparty meetings using nontraditional features
	Cao, Jie; Pan, Peng
	2010
关键词	Intelligent computing Intelligent systems Audio-visual Multi-party conversations Nontraditional features The least dominant person The most dominant person
卷号	1
DOI	10.1109/ICICISYS.2010.5658665
页码	312-316
英文摘要	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. ©2010 IEEE.
会议录	Proceedings - 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2010
会议录出版者	IEEE Computer Society
语种	英语
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/116073]
专题	兰州理工大学
作者单位	College of Computer and Communication, Lanzhou University of Technology, Lanzhou, China
推荐引用方式 GB/T 7714	Cao, Jie,Pan, Peng. Recognize the most dominant person in multiparty meetings using nontraditional features[C]. 见:.