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语音端点检测，有助于除去语音信号中的噪音部分，留下有用的携带信息的部分，有利于提取其中有用的语音特征参数，从而提高识别率。-Endpoint detection, helps remove the noise part of the speech signal, leaving useful information-bearing part, is conducive to extract the speech feature useful to improve the recognition
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这是一篇工学硕士论文，主要说关于说话人语音识别，，以支持向量机为分类器，分别以MFCC和IM-FCC为特征单独执行分类，将得到结果按某种方式融合，取两者之长，最后做出判决来提高说话人识别系统的性能。-Speaker recognition is a kind of technology that take the use of the
information contained in the speech signal to identify who is the speaker or to
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模式识别中的bayes判别分析算法，语音信号的采集与处理，数字信号处理课设，ML法能够很好的估计信号的信噪比。- Pattern Recognition bayes discriminant analysis algorithm, Acquisition and Processing of the speech signal, digital signal processing class-based, ML estimation method can be a good signal to n
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利用matlab写成的窄带噪声发生，空间目标识别，采用PM算法，语音信号的采集与处理，数字信号处理课设。- Using matlab written narrowband noise occurs, Space target recognition algorithm using PM, Acquisition and Processing of the speech signal, digital signal processing class-based.
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Complete HMM-based speech recognition system, Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Has been successful debugging. M contains files can be directly run.
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语音信号处理识别分析以及去噪语音信号处理的代码文件(Speech signal processing, recognition, analysis and de noise speech signal processing code files)
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