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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 11, ISSUE 1, JANUARY 2022

A Survey on Gender Identification

Pro. S.R.Hiray, Soham K.Kulkarni, Kiran S. Khandade, Sanket Tomake, Ankit Kumar

DOI: 10.17148/IJARCCE.2022.11146

Abstract: Gender identification is considered to be one of the major problems in the field ofsignal processing. Formerly, this problem has been solved using various image classification techniques which typically includes information extraction from aset of images. However, gender classification using vocal features has recently been a topic of interest to a lot of researchers across the globe.

Keywords: Voice, Gender identification,etc.

How to Cite:

[1] Pro. S.R.Hiray, Soham K.Kulkarni, Kiran S. Khandade, Sanket Tomake, Ankit Kumar, “A Survey on Gender Identification,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11146