Voice conversion using General Regression Neural Network
We model pitch residuals using wavelet packet decomposed coefficients. Thus problem of artifacts generated due to direct transformation by ANN is alleviated. GRNN is proposed to modify vocal tract and wavelet packet decomposed pitch residuals. Mapping using GRNN model perform slightly better than GMM and RBF mapping models. Fast convergence of GRNN reduces computation time and overtraining of conventional ANN.
voice conversion general regression neural network gaussian mixture model pitch contour radial basis function wavelet transform