A Study on Dialect Identification Using Segmented Text Phoneme Information

Abstract

This study examined methods for segmenting phoneme information text for dialect identification with the aim of improving the accuracy of speech recognition of dialectal speech. The results of discriminating dialect data segmented by the three proposed methods were compared in terms of identification accuracy. The result of the comparison showed that the method of splitting the text every 5-gram gave the best accuracy.