The paper presents results of the analysis of speaker variability elements in some voiceless phonemes, namely voiceless stop consonants /p/, /t/, /k/. Gender and speaker recognition has been performed using the ANN with context independent cepstral and wavelet packet features. The gender recognition accuracy reached 80% and was rather high for non-pitched phonemes. Speaker identification accuracy was significant only in training phase.