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A Study on the Speech Recognition for Commands of Ticketing Machine using CHMM  

Kim, Beom-Seung (코레일 정보기술단, 광운대학교)
Kim, Soon-Hyob (광운대학교 컴퓨터공학과)
Publication Information
Journal of the Korean Society for Railway / v.12, no.2, 2009 , pp. 285-290 More about this Journal
Abstract
This paper implemented a Speech Recognition System in order to recognize Commands of Ticketing Machine (314 station-names) at real-time using Continuous Hidden Markov Model. Used 39 MFCC at feature vectors and For the improvement of recognition rate composed 895 tied-state triphone models. System performance valuation result of the multi-speaker-dependent recognition rate and the multi-speaker-independent recognition rate is 99.24% and 98.02% respectively. In the noisy environment the recognition rate is 93.91%.
Keywords
CHMM; Ticketing Machine; Speech Recognition of Station-Names;
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