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Frequency warping (FW) based voice conversion aims to modify the frequency axis of source spectra towards that of the target. In previous works, the optimal warping function was calculated by minimizing the spectral distance of converted and target spectra without considering the spectral shape. Nevertheless, speaker timbre and identity greatly depend on vocal tract peaks and valleys of spectrum....
The conventional statistical-based transformation functions for voice conversion have been shown to suffer over-smoothing and over-fitting problems. The over-smoothing problem arises because of the statistical average during estimating the model parameters for the transformation function. In addition, the large number of parameters in the statistical model cannot be well estimated from the limited...
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