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Phase analysis of human speech for persons recognition through voice

机译:人类语音通过语音识别的相位分析

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The method of approximation is used for decomposition of different sounds of human speech on modes. The data on five specific sounds received from 11 respondents are presented. The behavior of the amplitudes and phases of the modes of sounds is examined. It was found that the phases of different modes of every sound are not independent random variables, on the contrary, there is dependence between them. This dependence is unique for each respondent. It indicates to possibility to automatically identify of a person through voice.
机译:近似方法用于在模式上分解人类语音的不同声音。呈现了从11位受访者那里收到的有关五种特定声音的数据。检查声音模式的振幅和相位的行为。发现每种声音的不同模式的相位不是独立的随机变量,相反,它们之间存在依赖性。这种依赖性对于每个受访者都是唯一的。它指示通过语音自动识别一个人的可能性。

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