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.
Bibliographic reference. Fagerlund, Seppo / Laine, Unto K. (2011): "Stop consonant recognition by temporal fine structure of burst", In INTERSPEECH-2011, 2385-2388.