Recognition of voice for premenopausal women an young women using electroglottograph

The aim of this study is to develop a recognition of voice for premenopausal women and young women using electroglottograph (EGG). Electroglottography (EGG) is a non-invasive device that measure of vocal fold contacting behaviors in phonation. This research to determine the acoustic analysis in this specific such as fundamental frequency (f0), formant frequency, jitter, and shimmer and harmonic noise ratio (HNR). To analysis the effectiveness of frequency, Hidden Markov Model (HMM) is chosen as classifier. The end of this study, it supposes to be expected to put forward the new algorithm of recognition of the voice of premenopausal women by using acoustic analysis.