A method of selective pitch data comparison for speaker identification is presented. Pitch parameters of rising and falling nuclear monosyllables and filled hesitation pauses are evaluated for their discriminating ability using F-ratio and EER measures obtained on a 10-male 3-session speech database. “Physical” F0 parameters providing 20%-30% EER in isolation proved more effective than linguistically conditioned ones. Using all parameters in combination produced an EER of 13%. Directions of future research are outlined and the scope of possible method application in forensic tasks is discussed.