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首页> 外文期刊>WSEAS Transactions on Signal Processing >A New Statistic Feature of the Short-Time Amplitude Spectrum Values for Human's Unvoiced Pronunciation
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A New Statistic Feature of the Short-Time Amplitude Spectrum Values for Human's Unvoiced Pronunciation

机译：人的清音短时振幅谱值的新统计特征

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摘要

In this paper, a new statistic feature of the discrete short-time amplitude spectrum is discovered by experiments for the signals of unvoiced pronunciation. For the random-varying short-time spectrum, this feature reveals the relationship between the amplitude's average and its standard for every frequency component. On the other hand, the association between the amplitude distributions for different frequency components is also studied. A new model representing such association is inspired by the normalized histogram of amplitude. By mathematical analysis, the new statistic feature discovered is proved to be necessary evidence which supports the proposed model, and also can be direct evidence for the widely used hypothesis of "identical distribution of amplitude for all frequencies".
机译：本文通过对清音信号进行实验，发现了离散短时振幅谱的新统计特征。对于随机变化的短时频谱，此功能揭示了振幅平均值和每个频率分量的标准之间的关系。另一方面，还研究了不同频率分量的幅度分布之间的关联。表示这种关联的新模型的灵感来自归一化的幅度直方图。通过数学分析，新发现的统计特征被证明是支持所提出模型的必要证据，并且也可以为广泛使用的“所有频率振幅的分布相同”假设的直接证据。

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