Language independent voice-based gender identification system

Authors:
Jisha C. Thankappan;Sumam Mary Idicula
Affiliations:
Cochin University of Science and Technology, Cochin, Kerala, India;Cochin University of Science and Technology, Cochin, Kerala, India
Venue:
Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India
Year:
2010

Citing 5
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Abstract

This paper presents a solution to the sub-problem of the utterance classification problem in which speech samples are classified on the basis of the gender of the speaker. This can help a lot in the current speech recognition applications and telecommunication systems, where identifying the gender of the speaker before recognition process starts, can enhance the overall system performance to a great extent. This paper presents a gender identification algorithm which uses both fundamental frequency and MFCC as features and a Support Vector Machine with Multi Layer Perceptron kernel function for classification.