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Establishment of the Korean Standard Vocal Sound into Character Conversion Rule  

이계영 (동국대학교 컴퓨터·멀티미디어학과)
임재걸 (동국대학교 컴퓨터·멀티미디어학과)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.41, no.2, 2004 , pp. 51-64 More about this Journal
Abstract
The purpose of this paper is to establish the Standard Korean Vocal Sound into Character Conversion Rule (Standard VSCC Rule) by reversely applying the Korean Standard Pronunciation Rule that regulates the way of reading written Hangeul sentences. The Standard VSCC Rule performs a crucially important role in Korean speech recognition. The general method of speech recognition is to find the most similar pattern among the standard voice patterns to the input voice pattern. Each of the standard voice patterns is an average of several sample voice patterns. If the unit of the standard voice pattern is a word, then the number of entries of the standard voice pattern will be greater than a few millions (taking inflection and postpositional particles into account). This many entries require a huge database and an impractically too many comparisons in the process of finding the most similar pattern. Therefore, the unit of the standard voice pattern should be a syllable. In this case, we have to resolve the problem of the difference between the Korean vocal sounds and the writing characters. The process of converting a sequence of Korean vocal sounds into a sequence of characters requires our Standard VSCC Rule. Making use of our Standard VSCC Rule, we have implemented a Korean vocal sounds into Hangeul character conversion system. The Korean Standard Pronunciation Rule consists of 30 items. In order to show soundness and completeness of our Standard VSCC Rule, we have tested the conversion system with various data sets reflecting all the 30 items. The test results will be presented in this paper.
Keywords
Standard Pronunciation Rule; Speech Recognition; Vocal Sound into Character Conversion; Hangeul Phonetic Value; Petri Net;
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Times Cited By KSCI : 1  (Citation Analysis)
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