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Multiple alignment using hidden Markov models
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Hidden Markov Models and its Application in Automatic Speech Recognition
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CS 552/652
Speech Recognition with Hidden Markov Models
Summer 2009
Oregon Health & Science University
School of Science & Engineering
Division of Biomedical Computer Science
Center for Spoken Language Understanding
John-Paul H
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Wavelet-Based Mel-Frequency CepstralCoefficients for Speaker Identification using
Hidden Markov Models
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a tutorial on hidden markov models and selected applications in speech recognition
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This introduction to the expectation–maximization (EM) algorithm
provides an intuitive and mathematically rigorous understanding of
EM. Two of the most popular applications of EM are described in
detail: estimating Gaussian mixture models (GMMs),
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A tutorial an hidden markov models and selected applications in speech recognition
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hidden markov models, bayessian networks
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Fixed-Point Implementation of Isolated Sub-Word Level Speech Recognition Using Hidden Markov Models
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Abstract-Gesture recognition pertains to recognizing meaning-
ful expressions of motion by a human, involving the hands, arms,
face, head, and/or body. It is of utmost importance in designing
an intelligent and efficient human-computer interfa
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隐马尔可夫模型工具包（HTK）是一种便携式工具包构建和操纵隐马尔可夫模型。 HTK主要用于语音识别的研究，虽然它已被用于许多其它应用，包括研究，语音合成，字符识别和DNA测序。 HTK是使用在世界各地的数百个网站。
该文档主要包含htkbook的中英文版本，方便HTK初学者使用和学习。-The Hidden Markov Model Toolkit (HTK) is a portable toolkit for building and manipulating hidden Markov
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hidden markov models for face recegnisation
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脑机借口运用隐马尔科夫模型进行分类的文献，效果很好-Brain Machine excuse to use Hidden Markov Models to classify documents, works well
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hmm pdf for Hidden Markov Models
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