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- W922021054 abstract "In this Paper, we propose a new codeword tying algorithm based on a tree structured classfier. The proposed algorithm which can be viewed as a kind of soft decision using statistical properties between codewords and states has an advantage of fast construction, and guarantees a unique optimal solution. Also, it can easily be applied to any speech recognition system based on discrete hidden Markov model (HMM). Experimental results on speaker-independent isolated word recognition show error reduction of for the codebook of size 256 and for 512 size and also HMM parameter reduction of about ." @default.
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- W922021054 date "1994-01-01" @default.
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- W922021054 title "A Codeword Tying Algorithm in Speech Recognition based on Discrete Hidden Markov Model" @default.
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