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CRF1.2，条件随机场软件包，很好用很流行的一个文本分类软件，可以用于自然 语言的处理，标签，分类，词性发现，用户只需要着重构造特征函数既可以，实验结果和应用表明crf要优于隐马尔科夫模型。实现环境为java语言。-CRF1.2, conditions package with the airport, very good very popular with a text classification software, can be used in natural language proc
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TEXT SEGMENTATION AND TOPIC TRACKING ON BROADCAST NEWS VIA A HIDDEN MARKOV MODEL APPROACH
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This paper describes a technique for automatic recognition of off-line printed Arabic text using Hidden Markov Models. In this work different sizes of overlapping and non-overlapping hierarchical windows are used to generate 16 features from each ver
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一种改进的隐马尔科夫模型用于文本处理，效果有明显提升-An improved hidden Markov model for text processing, results have improved significantly
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Finally, probability analysis, based on the chosen database, is performed and
judgment whether the person is recognized is pronounced. Two different modeling
techniques can be suggested for purposes of person identification or verification. The
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Fox & Pigeon Laboratory 发布一款基于隐马尔可夫模型的英语语音合成软件（HMM based English Text-To-Speech, TTS）：FoxPigeonTTS alpha版。
近年来，基于HMM的语音合成系统得到广泛的重视和应用。我们实验室实现的基于HMM的语音合成系统基本不需要任何语言学知识指导系统训练，构建时间短，构建过程基本不需要人工干预，而由于系统属于参数化合成方法，系统的合成结果灵活多变，可以很容易的应用于多个发音人，多种发音风格，多种
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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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