Title
Spoken language identification in unseen channel conditions using modified within-sample similarity loss
Abstract
•A novel mWSSL for improving the channel-invariance of the LID network.•Re-implementation of the original WSSL to achieve better performance.•Extensive experimentation on the proposed approach.
Year
DOI
Venue
2022
10.1016/j.patrec.2022.04.018
Pattern Recognition Letters
Keywords
DocType
Volume
Spoken language identification,Unseen channel condition,Channel-mismatch,Domain-mismatch,Deep learning,Within-sample similarity loss
Journal
158
ISSN
Citations 
PageRank 
0167-8655
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
H. Muralikrishna111.04
Dileep Aroor Dinesh200.34