HIGHLIGHTS
- who: ADAL A. ALASHBAN and collaborators from the Department of Computer Engineering, College of Computer Information Sciences, King Saud University, Riyadh, Saudi Arabia have published the Article: A Deep Learning Approach for Identifying and Discriminating Spoken Arabic Among Other Languages, in the Journal: (JOURNAL)
- what: The audio corpus used for this experiment has several inherent restrictions; therefore, results should not be generalized. As a consequence in this paper, the authors propose using the BLSTM architecture for Arabic language identification. The Mozilla speech corpus is available to download for research and study purposes and contains speech . . .
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