Survey on Feature Extraction and Matching Techniques for Speaker Recognition Systems
M. Jayasheela · 2013
Speaker recognition is the process of automatically recognizing a person on the basis of individual information included in speech signals. An Automatic Speaker Recognition System deals with recognizing the speaker at the output. It can be divided into two major parts: front-end and back-end. The front-end of the system is a feature extraction device, while the back-end consists of a template/statistical classifier and a well-trained database. This paper deals with the various feature extraction techniques and the modeling techniques that are currently in use for speaker recognition systems.