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Speaker Normalization Method Based on the Piece-Wise Linear Frequency Warping

机译:基于分段线性频率弯曲的说话人归一化方法

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In traditional vocal tract length normalization (VTLN) method, the details of the differences of spectral among speakers cannot be modeled, because only a simple vocal tract length factor is regarded as the absolutely indicator of the speaker specific attribute, according to the assumption of lossless multi-tube vocal tract model. In this paper, the piece-wise frequency warping function is adopted to describe the speaker specific character in detail. With an appropriate partition of frequency axis, the differences of spectral can be removed well. Due to the model-independent warping function, this method is proved to be a quite fast adaptation technique, and especially suitable for the unsupervised adaptation.
机译:在传统的声道长度归一化(VTLN)方法中,无法建模说话者之间频谱差异的细节,因为根据无损假设,只有简单的声道长度因子才被视为说话者特定属性的绝对指标。多管声道模型。在本文中,采用分段频率扭曲功能来详细描述扬声器的特定特征。通过适当分配频率轴,可以很好地消除频谱差异。由于与模型无关的翘曲函数,该方法被证明是一种相当快的自适应技术,尤其适用于无监督自适应。

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