Gaussian mixture model speaker recognition system experiments with CORPORA database

Abstract

In this paper current state-of-the-art speaker recognition system was tested with Polish Corpora database. System based on MFCC feature extraction method and Gaussian mixture model were used in several experiments. The minimum amount of data to train a reliable model has been determined. In the second experiment minimum length of a signal to recognize speakers has been determined. In the last part the speaker discriminative properties of Polish phonemes were investigated. The phonemes with the best speaker discriminative properties were determined.