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. 2022 Sep 28;2022:3364141. doi: 10.1155/2022/3364141

Table 3.

Accuracy Comparison of the Various classification Algorithms.

Method Dataset Features Classifier Accuracy
Supervised learning Spoken English digit MFCC SVM + KNN + RF 97.50%
The proposed model Spoken English digit STFT RF + GB + NN 99.65%