전자공학회논문지B (Journal of the Korean Institute of Telematics and Electronics B)
- 제32B권5호
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- Pages.756-764
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- 1995
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- 1016-135X(pISSN)
제한적 상태지속시간을 갖는 HMM을 이용한 고립단어 인식
Isolated Word Recognition Using Hidden Markov Models with Bounded State Duration
초록
In this paper, we proposed MLP(MultiLayer Perceptron) based HMM's(Hidden Markov Models) with bounded state duration for isolated word recognition. The minimum and maximum state duration for each state of a HMM are estimated during the training phase and used as parameters of constraining state transition in a recognition phase. The procedure for estimating these parameters and the recognition algorithm using the proposed HMM's are also described. Speaker independent isolated word recognition experiments using a vocabulary of 10 city names and 11 digits indicate that recognition rate can be improved by adjusting the minimum state durations.
키워드