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An Experiment in Cluster Detection [Letter to the Editor]

机译:群集检测的实验[致编辑]

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This study was designed as a practical test of the cluster finding and coding method described in an earlier paper.1 In order to test such a method it is necessary to use data in which the clusters are known. The clusters for this experiment were generated by taking measurements on sustained spoken vowels. The utterance of each vowel was sampled at a 20-millisecond rate through 15 filters, and the outputs of the filters were quantized into 13 levels. Each time sample was taken as a pattern, thus producing a cluster of patterns from an utterance of one vowel. Eight vowels were used: |i|, |I|, |ε|, |a|, |ɔ|, |з|, |O| and |u|. These are the vowel sounds found in the words “beet,” “bit,” “bet,” “pot,” “brought,” “Bert,” “boat” and “boot.” From the eight classes a total of 250 patterns were generated. Figure 1 shows a typical sample from the data of each class in column 2 and two additional samples in columns 1 and 3 to give an indication of the divergence that occurred among the samples.
机译:这项研究的目的是对较早论文中描述的聚类发现和编码方法进行实际测试。1为了测试这种方法,必须使用已知聚类的数据。通过对持续口语元音进行测量,生成了该实验的簇。通过15个滤波器以20毫秒的速率对每个元音的发音进行采样,并将滤波器的输出量化为13个电平。每次将样本作为一种模式,因此从一个元音的发声中产生了一组模式。使用了八个元音:| i |,| I |,|ε|,| a |,|ɔ|,|з|,| O |和| u |。这些是在“甜菜”,“位”,“下注”,“锅”,“酿造”,“伯特”,“船”和“靴子”中发现的元音。从这八个类中,总共生成了250个模式。图1显示了来自第2列中每个类别的数据以及第1列和第3列中的两个其他样本的典型样本,以指示样本之间发生的差异。

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