Statistical techniques for automatic speaker recognition

Within a government sponsored research program various methods of speech analysis techniques and pattern recognition methods have been applied to the speaker identification and verification problem. For this purpose a modular speaker recognition system has been developed to be used for comparative studies. Real-time speech signal analysis, mainly based on two-stage statistical measurements in combination with minimum risk classifiers allows code-word related as well as text-independent speaker verification and identification, both with very high accuracy for male and female voices. This paper describes the structure and modules of the speaker recognition system, results of comparative experiments are being discussed.