海报：将多方会议中的参与者角色用作非参数主题建模的先验知识][Poster: Using Participant Role in Multiparty Meetings as Prior Knowledge for Nonparametric Topic Modeling ]

海报：将多方会议中的参与者角色用作非参数主题建模的先验知识 Poster: Using Participant Role in Multiparty Meetings as Prior Knowledge for Nonparametric Topic Modeling


课程网址:	http://videolectures.net/icml08_huang_upr/
主讲教师:	Songfang Huang
开课单位:	爱丁堡大学
开课时间:	2008-08-11
课程语种:	英语
中文简介:	在本文中，我们介绍了我们尝试将参与者角色信息纳入多方会议，以便使用分层Dirichlet流程进行文档建模。困惑和自动语音识别结果表明，参与者角色信息是一种有前途的先验知识源，可与多语种会议的自动语音识别和交互建模的语言模型相结合。
课程简介:	In this paper we introduce our attempts to incorporate the participant role information in multiparty meetings for document modeling using the hierarchical Dirichlet process. The perplexity and automatic speech recognition results demonstrate that the participant role information is a promising prior knowledge source to be combined with language models for automatic speech recognition and interaction modeling for multiparty meetings.
关键词:	文档建模; 语音识别; 先验知识
课程来源:	视频讲座网
最后编审:	2019-04-18：cwx
阅读次数:	43

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