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基于隐马尔可夫模型和高斯混合模型结合的声音转换方法.pdf-Combination of hidden Markov models and Gaussian mixture model-based voice conversion method. Pdf
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marsyas是进行音频分析的源码，能识别音乐节奏、乐器等音音乐语义特征，使用隐马尔可夫模型。
-marsyas audio analysis of the source code, and can identify the rhythm of the music, musical instruments and other audio and music semantic features using Hidden Markov Models.
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基于小波域的隐马尔可夫模型的图像去噪matlab代码，小波变换，隐马尔可夫模型-Wavelet domain Hidden Markov model-based image denoising matlab code, wavelet transform and hidden Markov models
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Learning images with hidden Markov models (HMM) is a difficult
problem, especially because of the important volume of data to be
learned by the H-Learning images with hidden Markov models (HMM) is a difficult
problem, especially because of the
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Learning images with hidden Markov models (HMM) is a difficult
problem, especially because of the important volume of data to be
learned by the H-Learning images with hidden Markov models (HMM) is a difficult
problem, especially because of the
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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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马尔科夫链的matlab仿真,马尔可夫模型（Markov Model，MM）是统计模型，它用来描述一个含有隐含未知参数的马尔可夫过程。-Matlab simulation of Markov chains, Markov models (Markov Model, MM) is a statistical model, which is used to describe an unknown parameter containing hidden Markov process.
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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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Wavelet-based statistical signal processing using hidden markov models
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隐马尔科夫模型是语音识别中的重要算法思想，这里在matlab下实现了一个原理性的算法-Hidden markov models is an important algorithm in speech recognition, here under the matlab implements a rational algorithm
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In this paper, we figure out the use of appended jitter and shimmer speech features for closed set text
independent speaker identification system. Jitter and shimmer features are extracted from the
fundamental frequency contour and added to basel
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计算语言学PPT-常宝宝
北京大学计算语言学研究所
介绍的内容有n-gram和数据平滑、熵和语言模型评价、隐马尔可夫模型、有限状态技术和形态分析-PPT-often baby Computational Linguistics Institute of Computational Linguistics of Peking University introduced n-gram content and data smoothing, entropy and the language m
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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。
本程序包含HTK源码以及在windows下已经编译好的工具。-The Hidden Markov Model Toolkit (HTK) is a portable toolkit for building and manipulating hidden Markov models. HTK is primarily
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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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an efficient system for face recognition based on hidden markov models and SVD as features extractor
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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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