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SPARTA: Speaker Profiling for ARabic TAlk
[article]
2020
arXiv
pre-print
This paper proposes a novel approach to an automatic estimation of three speaker traits from Arabic speech: gender, emotion, and dialect. After showing promising results on different text classification tasks, the multi-task learning (MTL) approach is used in this paper for Arabic speech classification tasks. The dataset was assembled from six publicly available datasets. First, The datasets were edited and thoroughly divided into train, development, and test sets (open to the public), and a
arXiv:2012.07073v1
fatcat:dkbtd25njjbpfk4czisxglpxca