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Discriminative weighting of HMM state-likelihoods using the GPD method

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2 Author(s)
Kwon, O.W. ; Commun. Res. Lab., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea ; Un, C.K.

We propose a new method of finding discriminative state-weights recursively using the generalized probabilistic descent method. This method is implemented with minor modification of the conventional parameter estimation and recognition algorithms by constraining the sum of the state-weights to the number of states in a recognition unit, and can be applied to continuous speech recognition as well as isolated word recognition. We confirm the validity of the method with phoneme-based and word-based state-weighting schemes for three kinds of recognition tasks.

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Signal Processing Letters, IEEE  (Volume:3 ,  Issue: 9 )