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Raymond Yeh

KL-Divergence Guided Two-Beam Viterbi Algorithm on Factorial HMMs

Raymond Yeh, 3/11/2014, 4:30-5:30pm, BI 2369

This paper addresses the problem of the high computation complexity issue that arises when decoding hidden Markov models (HMMs) with large number of states. A novel approach, the two-beam Viterbi, for decoding HMMs was implemented on a system for simultaneously recognition a pair of isolated digits on one audio channel via Factorial HMM. This novel approach achieve 60% less computations compare to the base-line algorithm, the Viterbi Beam Search, while maintaining 82.5% recognition rate.

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