The automatic classification of the unvoiced stop consonants is widely considered as a difficult task for traditional frequency domain and even time-frequency methods. Main reason for this is their short duration and diverse temporal structure. In this paper we present a novel method for stop consonant recognition. The method is based on statistical properties of short temporal fine structure of burst part. Classification is also evaluated with simple frequency domain method.