Some factors influencing the performances of a speaker recognition system based on LPC

Linear prediction parameters are critically dependent upon the short-term spectrum of speech and therefore to noises and distorsions introduced by transmission and recording systems. The aim of the present work was to evaluate the performances of an automatic speaker recognition system, based on LPC, on the same speech material recorded in three different conditions: on a quiet room, from dialled up telephones lines via direct hookup and via a suction cup tap. Each of ten speakers spoke an 8s long sentence four times over a two-months period. Sentences were manually segmented and performance evaluation was conducted on phonemes, on breath groups and on the whole sentence using a minimum weighted distance classifier.