On the Use of Artificial Conversation Data for Speaker Recognition in Cars

Berkeley, CA(2009)

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摘要
Based on contrastive experiments the following article presents a discussion on the difficulties of using state-of-the art speaker recognition methods under realistic car noise conditions and argues that, even though work has been done in this area, current approaches fail to address the main problems occurring in this task. The article also proposes a possible solution which opens new directions for further research in this area.
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following article,artificial conversation data,possible solution,speaker recognition,state-of-theart speaker recognition method,realistic car noise condition,main problem,current approach,new direction,contrastive experiment,noise,speech recognition,speech
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