A study on consonants/vowels phonetic segmentation of Korean isolated words based on a rule-based system for the phenomenon of Korean vocalization

This paper investigates the Korean rule-based system and its speech segmentation application with phonetic value. The discrete wavelet transform is used as a part of a front-end processor by which the phonetic value shape extracts non-uniform blocks. In non-uniform blocks, the extracted feature parameter is derived by consonants/vowels phonetic value segmentation that is based on VQ/HMM. 10 speakers (male) evaluated the results on a portion of Korean isolated words TIMIT corpus consisting of ten each isolated Korean words. Ultimately, the proposed algorithm aims to reduce the number of frames per speech signal as much as possible without an appreciable reduction in the recognition rate of the system, and obtains a frame characterizing the signal of a consonant/vowels phonetic value on Korean vocalization.