In the last decades, much attention has been paid to the design of multi-speaker voice conversion. In this work, a new method for voice conversion (VC) using nonlinear principal component analysis (NLPCA) is presented. The principal components are extracted and transformed by a feed-forward neural network which is trained by combination of Genetic Algorithm (GA) and Back-Propagation (BP). Common pre-and post-processing approaches are applied to increase the quality of the synthesized speech.

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... results indicate that the proposed method can be considered as a step towards multi-speaker voice conversion.