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A Speech Recognition System based on a New Endpoint Estimation Method jointly using Audio/Video Informations  

이동근 (홍익대학교 전자공학과)
김성준 (홍익대학교 전자공학과)
계영철 (홍익대학교 전자공학과)
Publication Information
Journal of Broadcast Engineering / v.8, no.2, 2003 , pp. 198-203 More about this Journal
Abstract
We develop the method of estimating the endpoints of speech by jointly using the lip motion (visual speech) and speech being included in multimedia data and then propose a new speech recognition system (SRS) based on that method. The endpoints of noisy speech are estimated as follows : For each test word, two kinds of endpoints are detected from visual speech and clean speech, respectively Their difference is made and then added to the endpoints of visual speech to estimate those for noisy speech. This estimation method for endpoints (i.e. speech interval) is applied to form a new SRS. The SRS differs from the convention alone in that each word model in the recognizer is provided an interval of speech not Identical but estimated respectively for the corresponding word. Simulation results show that the proposed method enables the endpoints to be accurately estimated regardless of the amount of noise and consequently achieves 8 o/o improvement in recognition rate.
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