Abstract:
Age and gender has expanded its number of applications, particularly in light of the increased use of social platforms and online media. Even However, this stands in contrast to the huge performance gains previously noted for the closely related task of audio. In this study, we show that deep convolutional neural networks may be used to learn models and greatly enhance performance on certain tasks (CNN).where we get in the Xception the training accuracy was 100% ,validation accuracy 99%, testing accuracy 100% .Testing dataset organized into one folder (age-gender-test) and contains 1676 audio files related to 39 of age and gender categories and 40 epoch
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