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% |