Title :
A study on consonants/vowels phonetic segmentation of Korean isolated words based on a rule-based system for the phenomenon of Korean vocalization
Author :
Lee, Jun-Hwan ; Rhee, Sang-Burm
Author_Institution :
Dept. of Comput. Eng., Dankook Univ., South Korea
Abstract :
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
Keywords :
discrete wavelet transforms; feature extraction; hidden Markov models; knowledge based systems; natural languages; speech processing; speech recognition; vector quantisation; Korean isolated words; Korean vocalization; TIMIT corpus; VQ/HMM; consonants/vowels phonetic segmentation; discrete wavelet transform; extracted feature parameter; front-end processor; nonuniform blocks; phonetic value; recognition rate; rule-based system; speech analysis; speech recognition; speech segmentation; speech signal; Character recognition; Discrete wavelet transforms; Feature extraction; Knowledge based systems; Natural languages; Signal analysis; Speech analysis; Speech coding; Speech recognition; Wavelet analysis;
Conference_Titel :
TENCON 99. Proceedings of the IEEE Region 10 Conference
Conference_Location :
Cheju Island
Print_ISBN :
0-7803-5739-6
DOI :
10.1109/TENCON.1999.818680
