Automatic gender identification optimised for language independence

In this paper 63 automatic gender identification (AGI) systems based on the fusion of multiple knowledge sources using a linear classifier (LC) are tested on speakers of 11 languages present in the OGI speech corpus. It is found that training the LC with multiple languages can improve the accuracy of the AGI system.