Human beings have their own speaking style which helped them in depicting their native
language. The major reason behind variability in some language is due to varying dialect of
the speakers. In the field of Automatic Speech Recognition (ASR), key challenge is to
recognize and to generate an acoustic model which represents differences of redundant
acoustic features. In this paper, an issue of dialect classification is perform on the basis of
tonal aspects of laryngeal phoneme [h]. This is an empirical study of [h] sound words in four�…