Abstract
Dialect can be defined as a variety of a language that is distinguished from other varieties of the same language by pronunciation, grammar and vocabulary. The process of recognizing such dialects is called Dialect Identification. Kamrupi, although a dialect of the Assamese language, is spoken both in Assam (Kamrup district) and North Bengal. In this paper, we describe a method to identify not just Kamrupi dialect but also the languages it is similar to i.e. Assamese and Bengali. Mel Frequency Cepstral Coefficient (MFCC) has been used to extract the spectral features of the collected speech data. Gaussian Mixture Model (GMM) and Gaussian Mixture Model with Universal Background Model (GMM-UBM) have been used as the modeling techniques.
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