Estimation of Accuracy in Human Gender Identification and Recall Values Based on Voice Signals Using Different Classifiers

Table 5

Comparison of the recall values and identification accuracy with reported in the literature.

Comparison with reported models
	LDA	RNN-BiLSTM	SVM	LVQ [45]	BiLSTM [46]	CNN [47]	Neural network [48]	CNN & LSTM [49]
Recall values of male	73.62	90.62	73.51	94.60	—	97.00	89.7	—
Recall values of female	63.94	93.38	67.05	94.60	—	91.00	88.1	—
Recall values of transgender	79.86	95.68	78.12	—	—	—	87.3	—
Identification accuracy	72.42	93.41	72.90	94.60	86.70	96.00	—	97.00