Automatic gender recognition

Authors:
Dat Tran;Dharmendra Sharma
Affiliations:
School of Information Science and Engineering, University of Canberra, Canberra, ACT, Australia;School of Information Science and Engineering, University of Canberra, Canberra, ACT, Australia
Venue:
ICECS'03 Proceedings of the 2nd WSEAS International Conference on Electronics, Control and Signal Processing
Year:
2003

Citing 5
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Abstract

This paper presents an automatic gender recognition technique based on speaker's voice. Utterances spoken by same-gender speakers were used to train a text-independent hidden Markov gender model. Female and male models are continuous hidden Markov models. Experiments on the TI-46 database containing 46 words spoken by 8 female and 8 male speakers showed an acceptable recognition rate.