Phoneme Positioning Using Wavelet Analysis and SIFT Features

Abstract

Linguists transcribe minor languages usually relying on their ears. This manual work requires time-consuming efforts and elaborate phonetic notation. In this study, we aim to construct a support system for fieldwork linguists documenting minor or low resource languages. In the previous preliminary experiments, we investigated sound matching between two languages using MFCC, but the correspondence accuracy was below expectations due in part to a lack of preprocessing data. Therefore, in this paper, we have worked on audio preprocessing using Wavelet analysis and SIFT features.