Title :
Gender detection with heart sound
Author :
Dal, Ferda ; Cosgun, Sema ; Ozbek, I. Yucel
Author_Institution :
Elektrik ve Elektron. Muhendisligi Bolumu, ATATURK Univ., Erzurum, Turkey
Abstract :
In this work, gender detection was carried out using heart sounds of each persons. The proposed method has three stages to make detection gender with heart sound. First, some features are obtained from heart sounds. Second, modelling is made by Gauss Mixture Model (GMM) by using obtained these features and models are trained. Finally, tested person is decided to be he or she with likelihood ratio test.
Keywords :
Gaussian processes; biometrics (access control); cardiology; gender issues; medical signal detection; mixture models; GMM; Gauss mixture model; gender detection; heart sound; likelihood ratio test; Biometrics (access control); Digital signal processing; Heart; Mel frequency cepstral coefficient; Reactive power; Speech recognition; Gauss Mixture Model; gender detection; heart sound; likelihood ratio test;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7130355
