Web: http://arxiv.org/abs/2206.07511

June 16, 2022, 1:10 a.m. | Muhammad Turab, Teerath Kumar, Malika Bendechache, Takfarinas Saber

cs.LG updates on arXiv.org arxiv.org

Deep Learning (DL) algorithms have shown impressive performance in diverse
domains. Among them, audio has attracted many researchers over the last couple
of decades due to some interesting patterns--particularly in classification of
audio data. For better performance of audio classification, feature selection
and combination play a key role as they have the potential to make or break the
performance of any DL model. To investigate this role, we conduct an extensive
evaluation of the performance of several cutting-edge DL models …

arxiv audio classification feature feature selection

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