A comparison between two approaches to automatic speaker recognition

Over the past years many different methods for automatic speaker recognition have been successfully proposed and tested. The aim of the paper is to present the results of a comparison carried out on two such approaches, viz. Atal /1/ and Sambur /2/, both using, but in a different manner, the parametric representation of speech derived from the linear prediction model. The experiment was carried out on 500 phrase length utterances of 10 speakers recorded over a three -month period. The results obtained in an identification experiment showed the superiority of the Atal approach, as for recognition rate and sensitivity to intra-speaker variability.