A Preliminary Study on the Gender-Discrimination using TF32 Software in Aging Voices

Jiyeoun Lee1

  • 1Jungwon University

Details

13:25 - 14:15 | Thu 16 Feb | Ballroom D | ThRPF.17

Session: Rapid Fire Session 02: Sensor Informatics I

Abstract

The aim of this study is to investigate the discriminatory power of the TF32 program in distinguishing the gender of aging voices. The four parameters all show the significant differences for the gender classification. Therefore it can conclude that the TF32 is discernible in gender analysis.