Dysarthria is a term associated with a group of neurological diseases caused by lesions in peripheral or central nervous system. Speech produced by dysarthric speakers are mostly unintelligible. In the current study we have made an attempt to analyze the degree of dysarthria using an Automatic Speech Recognition (ASR) system as a tool. In the present study, two tests are conducted with the ASR system. In the first study, both the training and testing set are dysarthric speakers' speech data. In the second study, the ASR is trained with normal speakers' speech data and tested with dysarthric speakers' speech data. The performance of second study clearly shows that there is a relationship between the degree of dysarthria and the performance of the speech recognition system. A confusability test is conducted based on the place and manner of articulation which gives a clear indication of which particular speech subsystem is inactive.