Telephone-line speaker recognition using clipped autocorrelation analysis

A speaker recognition system is investigated which operates on telephone speech and performs speech analysis by means of the clipped autocorrelation function. The advantages of the clipped autocorrelation function are its simple computation and its reduced dynamic variability as compared to the standard autocorrelation function. Utterances are represented by time contours of clipped autocorrelation coefficients. The time warping method based on dynamic programming is used to bring sample utterances into time registration with reference utterances. Different methods of preprocessing the time contours are studied with respect to speaker discrimination. For cooperative speakers, verification error rates of 3% and less than 2% were obtained using speaker independent and speaker individual thresholds, respectively.