HMM에 의한 연속음성 인식 시스템의 구현 = The Composition of Continuous Speech Recognition System Using HMM

다국어 초록 (Multilingual Abstract)

This paper is a study on the composition of Real-Time Continuous Speech Recognition System for Man-Machine Interface and it examines the posibility that applies to automatic system. The Continous Speech Recognition System is composed of Contivuous Distribution HMM model and algorithm of One Pass DP method. The System is composed so that it may detect start point and end point of speech data which are converted into samples by 10 KHz, 8 bit A/D whthin real time, then so that it may recognie them by one Pass DP method, display the result of recognition on PC monitor and at same time sent control data to Interface.
HMM models are creadted by training for continuous speech samples which are control words, area names and digital sounds.
In the result of experiment by Continuous Speech Recognition System, there are some kind of errors which are insertion, replacement and deletion of one syllable, but it examined the posibility that can by applied to Man-Machine Interface on automatic system if post-process is performed for recognition.