scholarly journals A robust speaker recognition based on Data augmentation

2020 ◽  
Keyword(s):  
Speaker Recognition ◽  
Data Augmentation ◽  
Robust Speaker Recognition

Abstract The authors have requested that this preprint be withdrawn due to erroneous posting.

scholarly journals A robust speaker recognition based on Data augmentation

2020 ◽  
Author(s):  
Chenqi Li ◽  
Haoyuan Lu ◽  
Wei Wang
Keyword(s):  
Performance Improvement ◽  
Speaker Recognition ◽  
Large Scale ◽  
Data Augmentation ◽  
Environmental Noise ◽  
Experimental Results ◽  
Training Data ◽  
Robust Speaker Recognition

Abstract It is known that large-scale training data can get the better effect of recognition. However, it is difficult to collect a lot of labeled training data for speaker recognition. At the same time, the performance of speaker recognition is greatly influenced by environmental noise. In this paper, we use data augmentation by adding noise to get much training data and improve the robustness of speaker recognition. The experimental results demonstrate that data augmentation have the better performance improvement on Chinese-863 database.

On the use of X-vectors for Robust Speaker Recognition

2018 ◽  
Author(s):  
Ondřej Novotný ◽  
Oldřich Plchot ◽  
Pavel Matějka ◽  
Ladislav Mošner ◽  
Ondřej Glembek
Keyword(s):  
Speaker Recognition ◽  
Robust Speaker Recognition
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