分割したテキスト音素情報を用いた方言識別手法に関する研究

抄録

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.