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支持向量机

于 2020-08-21 发布

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下载积分: 1 下载次数: 2

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说明：利用SVM,采用网格法和交叉法，训练与预测数据，并形成图像(Using SVM, using grid method and cross method to train and predict data, and form images)

文件列表：

支持向量机\SVMcgForClass.m, 1126 , 2020-08-19
支持向量机\Untitled_jiaochayouhua.m, 1467 , 2020-08-21
支持向量机\Untitled_wanggefa.m, 1134 , 2020-08-21
支持向量机, 0 , 2020-08-21

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Abstract—Several algorithms have been developed for tracking formant frequency trajectories of speech signals, however most of these algorithms are either not robust in real-life noise environments or are not suitable for real-time implementation. The algorithm presented in this paper obtains formant frequency estimates voiced segments of continuous speech by using a time-varying adaptive filterbank to track individual formant frequencies. The formant tracker incorporates an adaptive voicing detector and a gender detector for formant extraction continuous speech, for both male and female speakers. The algorithm has a low signal delay and provides smooth and accurate estimates for the first four formant frequencies at moderate and high signal-to-noise ratios. Thorough testing of the algorithm has shown that it is robust over a wide range of signal-to-noise ratios for various types of background noises.

2014-11-15 18:51:50下载

积分：1
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支持向量机

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