We explore the properties of the pronunciation variation (PV) models as an approach for an automatic
speech recognition accuracy improvement. The PV model is formulated as well as the methods to find out its
parameters and include the model into the search procedures. We show that utilizing of the PV models could
substantially increase the accuracy of automatic recognition of natural fluent speech.