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Efficient Viterbi scoring architecture for HMM-based speech recognition systems

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3 Author(s)
Cho, Y.S. ; Dept. of Inf. & Commun. Eng., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea ; Kim, J.Y. ; Lee, H.S.

A new dedicated architecture for Viterbi scoring in hidden Markov model (HMM)-based real-time isolated word recognition systems is proposed. Because, in HMMs, most states are connected to only three or fewer preceding states, the state transition matrix is a banded upper triangular matrix. Using this property of the HMM, the authors design an efficient Viterbi scoring architecture.

Published in:

Electronics Letters  (Volume:28 ,  Issue: 25 )

Date of Publication:

3 Dec. 1992

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