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7th European Conference on Speech Communication and Technology (Eurospeech 2001)
This paper extends the evaluation of Hidden Markov Models with quantized parameters (qHMM) presented in  to the case of speaker adaptive training. In speaker-independent speech recognition tasks, qHMMs were found to provide a similar performance as the original continuous density HMMs (CDHMM) with substantially reduced memory requirements. In this paper, we propose a Bayesian type of adaptation framework for qHMMs to improve the speaker-specific acoustic modeling accuracy. Experimentaldoi:10.21437/eurospeech.2001-328 fatcat:gnhvrc2vjzh5hp777sineyns3y