ARCHIVES

Abstract: The present paper describes the development in voice based gender recognition. Speech recognition has various applications including human to machine interaction, sorting of telephone calls by gender categorization, video categorization with tagging and so on. Currently, Deep learning is a popular trend which has been widely utilized.in various fields and applications, exploiting the recent development in digital technologies and the advantage of storage capabilities from electronic media. Recently, research focuses on the combination of ensemble learning techniques with the semi-supervised learning framework aiming to build more accurate classifiers. The paper aim on gender recognition by voice utilizing a new ensemble semi-supervised convolution neural network algorithm. Our preliminary numerical experiments demonstrate the classification efficiency of the proposed algorithm in terms of accuracy, leading to the development of stable and robust predictive models.