Speaker identification using bagging techniques

Speech recognition is widely researched, but little discussion is available within computer science algorithms literature. Computer scientists are interested in speech recognition computational problems. As against what was said, speaker recognition ensures automatic recognition of the speaker based on his/her voice's characteristics. Text-dependent speaker recognition is a focused on in this study. A simple approach to text dependent speaker identification is provided by this paper based on Coiflet wavelets for feature extraction which is followed by Singular value decomposition for feature selection. Classification is through using Naïve Bayes and bagging techniques.