Title
On the Use of Artificial Conversation Data for Speaker Recognition in Cars
Abstract
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.
Year
DOI
Venue
2009
10.1109/ICSC.2009.35
Berkeley, CA
Keywords
Field
DocType
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
Automotive electronics,Speaker identification,Conversation,Computer science,Speech recognition,Speaker recognition,Car noise
Conference
ISBN
Citations 
PageRank 
978-0-7695-3800-6
1
0.36
References 
Authors
11
2
Name
Order
Citations
PageRank
Luke R. Gottlieb161.69
Gerald Friedland2112796.23