Tibetan Speaker Gender Recognition Based on SVM
Xiangzhen He · Journal of Northwest University for Nationalities · 2011
The Research on speaker gender recognition is an important branch of speech recognition,thus we can recognize speaker's gender by speaker's voice.Gender identification as a pre-classification of speaker recognition technology can lower the complexity of the problem and improve the system's accuracy.In this paper,firstly,we establish Tibetan speech gender library,extracting speech feature parameters MFCC,then we use SVM for training and recognition.The results show that:MFCC for speaker recognition features can be effectively used in Tibetan speaker gender identification,and with the combine of SVM can get better results,Tibetan speaker gender recognition accuracy rate achieved more than 80% by using SVM.