https://cmc-nachemical.com/you....r-and-terminus-regar
The proposed multi-branch design takes M el Frequency Cepstral Coefficients (MFCC), S pectrogram, and C hromagram as inputs and is abbreviated as MSCCov19Net. The system is trained on publicly available crowdsourced datasets, and tested on two unseen (used only for assessment) medical and non-clinical datasets. Experimental results represent that the suggested system outperforms the 6 popular deep learning architectures on four datasets by representing a better generalization capability. The p
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