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Article | 01-March-2015

ACOUSTIC-PHONETIC FEATURE BASED DIALECT IDENTIFICATION IN HINDI SPEECH

Every individual has some unique speaking style and this variation influences their speech characteristics. Speakers’ native dialect is one of the major factors influencing their speech characteristics that influence the performance of automatic speech recognition system (ASR). In this paper, we describe a method to identify Hindi dialects and examine the contribution of different acoustic-phonetic features for the purpose. Mel frequency cepstral coefficients (MFCC), Perceptual linear

Shweta Sinha, Aruna Jain, S. S. Agrawal

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 1, 235–254

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