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基于隐而马可夫的连续语音识别中声学模型的建立及其实现-Based on Hidden Markov and continuous speech recognition acoustic model and its realization
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a real-time 3D pointing gesture
recognition algorithm for natural human-robot interaction
(HRI). The recognition errors in previous pointing gesture
recognition algorithms are mainly caused by the low performance
of the hands tracking module
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本资料介绍了有关马尔科夫的相关概念，重点分析了隐马尔科夫模型的有关内容，详细分析了解决HMM三个问题的有效算法。-This document describes the relevant concepts related to Markov, the focus of the Hidden Markov Model of the content, detailed analysis of the three problems to solve the effective HMM algorith
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隐马尔科夫模型用于术语提取，实验方案比较可行-Hidden Markov model for term extraction
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HMM 算法实现。 forward-backward algorithm。按照伪代码很容易写出HMM的算法。-Hidden Markov Model algorithm tutorial
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隐马尔科夫模型学习最佳范例 word 详细介绍马尔科夫模型原理-The best example of the hidden Markov model learning word detailed introduction of the principle of the Markov model
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An Introduction to HMM-Based (hidden Markov model)
Speech Synthesis
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