期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2013
卷号：6
期号：6
页码：193-204
DOI：10.14257/ijsip.2013.6.6.18
出版社：SERSC
摘要：Speaker recognition and speech recognition are both related. As against determining what was said, speaker recognition enables the automatic recognition of who is speaking based on the speaker's voice's unique characteristics. This paper presents a simple approach to text dependent speaker identification and is based on the Symlet wavelets for feature extraction. The extracted features are then classified using data mining algorithms. In this study, J48, Na.ve Bayes and SVM are used for classifying the features.
关键词：Speaker Recognition; Text dependent; Symlet Wavelet; Na.ve Bayes; J48 and ; SVM
