Proposing XLSR Multilingual Model for Vietnamese Language Recognition

The article presents issues related to the cross-lingual speech representations (XLS-R) model that can apply to training Vietnamese data. The goal of the article is to create an application for voice assistant software or virtual assistant in the home with Vietnamese data. The results show that the proposed model can improve the accuracy up to 61 % which has practical applicability.