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The approach followed is based on previous statistical conversion algorithms related to speech synthesis [13 15].
In Section 2, we describe the core component of the algorithm which is the statistical conversion of features.
The selected source and target vectors (cepstral or residual) of the selected subband are then sent for statistical conversion.
The derivation of the small parameters set is based on a statistical conversion between the source and target signals.
Therefore, we can apply the statistical conversion method described in the previous sections to the residual vectors also.
For this reason, we employ a method for residual conversion by applying statistical conversion on the residual vectors as well.
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We have presented a new method on quality enhancement of compressed audio based on statistical features conversion.
The low conversion statistical copolymer remained in its molecular state across the concentration range studied (up to 100 g dm−3), but the high conversion statistical copolymer associated into molecular clusters and micelles.
The relationship and the numerical statistical errors of conversion rate between the experimental data and the calculated data by the multiple linear regression method at the heating rate of 10 °C/min are shown in Fig. 3 and Table 4, respectively.
The disparity in reactivity ratios in the EOBO copolymerization resulted in pronounced composition drift along the chains of the high conversion statistical copolymer, giving it the character of a block copolymer.
CH and YZ designed the statistical method for conversion detection and helped to write the Methods section.
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